Posts Tagged with “python programming”

Download Automate the Boring Stuff with Python Programming

Download Automate the Boring Stuff with Python


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Python A-Z™


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Machine Learning, Data Science, Deep Learning, Artificial Intelligence A-Z Courses

Digital Marketing, machine learning articles


Artificial Intelligence A-Z

Ace with Machine Learning, Data Science, Deep Learning, Artificial Intelligence career

Interested in the field of Machine Learning? Then this courses are for you!

These course has been designed by  professional Data Scientists so that they can share there knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.


1.Machine Learning A-Z™: Hands-On Python & R In Data


Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:

  • How to start building AI with no previous coding experience using Python
  • How to merge AI with OpenAI Gym to learn as effectively as possible
  • How to optimize your AI to reach its maximum potential in the real world

Machine Learning A-Z


16.5 hours on-demand video

15 Articles

Full lifetime access

Access on mobile and TV

Certificate of Completionenroll nowWhat Will I Learn?

  • Master Machine Learning on Python & R
  • Have a great intuition of many Machine Learning models
  • Make accurate predictions
  • Make powerful analysis
  • Make robust Machine Learning models
  • Create strong added value to your business
  • Use Machine Learning for personal purpose
  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem

enroll now

2.A-Z Machine Learning using Azure Machine Learning


Hands on AzureML: From Azure Machine Learning Introduction to Advance Machine Learning Algorithms. No Coding Required.

Azure Machine Learning (AzureML) is considered as a game changer. Azure Machine Learning Studio is a great tool to learn to build advance models without writing a single line of code using simple drag and drop functionality.

The course is very hands on and you will be able to develop your own advance models using

  • Logistic Regression
  • Decision Trees
  • Linear Regression
  • SVM 
  • and many more 

A-Z Machine Learning


7.5 hours on-demand video

18 Supplemental Resources

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Topic Explained:

  • What is Machine Learning and some real world examples.
  • Azure Machine Learning Introduction
  • Provide an overview of Azure Machine Learning Studio and high level architecture.

We would also look at

  • Steps for building an ML model.
  • Supervised and Unsupervised learning
  • Understanding the data and pre-processing
  • Different model types as well as
  • The AzureML Cheat Sheet.
  • How to use Classification and Regression
  • What is clustering or cluster analysis
  • Recommendation system using one of the most powerful recommender of AzureML
  • What Will I Learn?
    • Master Machine Learning Models using Azure ML.
    • Understand the concepts and intuition of Machine Learning models
    • Build Machine Learning models within minutes
    • Choose the correct Machine Learning Algorithm using the cheatsheet
    • Deploy production grade Machine Learning models
    • Use Machine Learning in the simplest form possible, using excel
    • Bring in great value to business you manage

enroll now

3.Careers in Data Science A-Z™

How to Become a Top Level Data Scientist – Learn What to Expect, How to be Prepared, How to Stand Out and More…

  • the basic steps on how to become a Data Scientist
  • How to take their Data Science career to the next level
  • Hacks, tips & tricks for their Data Science career

Careers in Data Science A-Z


3.5 hours on-demand video

8 Supplemental Resources

Full lifetime access

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Certificate of Completionenroll now

Becoming a Data Scientist might be on your mind right now. 
Named the “Sexiest Job of the 21st Century”, this career seems like a great idea not only due to its high demand, but lack of supply of skilled proffesionals.

But the million dollar question is: What makes the difference between Top Level Data Scientist and just another one from the bunch?

What Will I Learn?
  • The basic steps on how to become a Data Scientist
  • How to take their Data Science career to the next level
  • Hacks, tips & tricks for their Data Science career


enroll now


4.Deep Learning A-Z™: Hands-On Artificial Neural Networks

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.

Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind’s AlphaGo beat the World champion at Go – a game where intuition plays a key role.

But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that’s why it’s at the heart of Artificial intelligence

Deep Learning A-Z


23 hours on-demand video

22 Articles

Full lifetime access

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Certificate of Completionenroll nowEXCITING PROJECTS

Are you tired of courses based on over-used, outdated data sets?

Yes? Well then you’re in for a treat.

Inside this class we will work on Real-World datasets, to solve Real-World business problems. (Definitely not the boring iris or digit classification datasets that we see in every course). In this course we will solve six real-world challenges:

  • Artificial Neural Networks to solve a Customer Churn problem
  • Convolutional Neural Networks for Image Recognition
  • Recurrent Neural Networks to predict Stock Prices
  • Self-Organizing Maps to investigate Fraud
  • Boltzmann Machines to create a Recomender System
  • Stacked Autoencoders* to take on the challenge for the Netflix $1 Million prize

*Stacked Autoencoders is a brand new technique in Deep Learning which didn’t even exist a couple of years ago. We haven’t seen this method explained anywhere else in sufficient depth.

What Will I Learn?
  • Understand the intuition behind Artificial Neural Networks
  • Apply Artificial Neural Networks in practice
  • Understand the intuition behind Convolutional Neural Networks
  • Apply Convolutional Neural Networks in practice
  • Understand the intuition behind Recurrent Neural Networks
  • Apply Recurrent Neural Networks in practice
  • Understand the intuition behind Self-Organizing Maps
  • Apply Self-Organizing Maps in practice
  • Understand the intuition behind Boltzmann Machines
  • Apply Boltzmann Machines in practice
  • Understand the intuition behind AutoEncoders
  • Apply AutoEncoders in practice

enroll now

5.Python A-Z™: Python For Data Science With Real Exercises!

Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization

Python A-Z™


11 hours on-demand video

1 Article

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Learn Python Programming by doing!

There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different!This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

What Will I Learn?
  • Learn to program in Python at a good level
  • Learn how to code in Jupiter Notebooks
  • Learn the core principles of programming
  • Learn how to create variables
  • Learn about integer, float, logical, string and other types in Python
  • Learn how to create a while() loop and a for() loop in Python
  • Learn how to install packages in Python
  • Understand the Law of Large Numbers

enroll now


6.R Programming A-Z™: R For Data Science With Real


Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

R Programming A-Z


10.5 hours on-demand video

2 Articles

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Certificate of Completionenroll now

Learn R Programming by doing!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

What Will I Learn?
  • Learn to program in R at a good level
  • Learn how to use R Studio
  • Learn the core principles of programming
  • Learn how to create vectors in R
  • Learn how to create variables
  • Learn about integer, double, logical, character and other types in R
  • Learn how to create a while() loop and a for() loop in R
  • Learn how to build and use matrices in R
  • Learn the matrix() function, learn rbind() and cbind()
  • Learn how to install packages in R
  • Learn how to customize R studio to suit your preferences
  • Understand the Law of Large Numbers
  • Understand the Normal distribution
  • Practice working with statistical data in R
  • Practice working with financial data in R
  • Practice working with sports data in R


enroll now

7.Artificial Intelligence A-Z™: Learn How To Build An AI

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

Artificial Intelligence A-Z


16.5 hours on-demand video

15 Articles

Full lifetime access

Access on mobile and TV

Certificate of Completionenroll now

Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:

  • How to start building AI with no previous coding experience using Python
  • How to merge AI with OpenAI Gym to learn as effectively as possible
  • How to optimize your AI to reach its maximum potential in the real world
What Will We Learn?
  • Build an AI
  • Understand the theory behind Artificial Intelligence
  • Make a virtual Self Driving Car
  • Make an AI to beat games
  • Solve Real World Problems with AI
  • Master the State of the Art AI models
  • Q-Learning
  • Deep Q-Learning
  • Deep Convolutional Q-Learning
  • A3C

enroll now

8.Statistics for Business Analytics A-Z™

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

Statistics for Business Analytics A-Z


7 hours on-demand video

1 Article

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Certificate of Completionenroll now

If you are aiming for a career as a Data Scientist or Business Analyst then brushing up on your statistics skills is something you need to do.But it’s just hard to get started… Learning / re-learning ALL of stats just seems like a daunting task.That’s exactly why I have created this course!Here you will quickly get the absolutely essential stats knowledge for a Data Scientist or Analyst.This is not just another boring course on stats. This course is very practical.

What Will I Learn?
  • Understand what a Normal Distribution is
  • Understand standard deviations
  • Explain the difference between continuous and discrete variables
  • Understand what a sampling distribution is
  • Understand the Central Limit Theorem
  • Apply the Central Limit Theorem in practice
  • Apply Hypothesis Testing for Means
  • Apply Hypothesis Testing for Proportions
  • Use the Z-Score and Z-Tables
  • Use the t-Score and t-Tables
  • Understand the difference between a normal distribution and a t-distribution
  • Understand and apply statistical significance
  • Create confidence intervals
  • Understand the potential pitfalls of overusing p-Values

enroll now

9.Data Science A-Z™: Real-Life Data Science Exercises


Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!

Data Science A-Z


21 hours on-demand video

3 Articles

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Certificate of Completionenroll now

This course will give you a full overview of the Data Science journey. Upon completing this course you will know:
  • How to clean and prepare your data for analysis
  • How to perform basic visualisation of your data
  • How to model your data
  • How to curve-fit your data
  • And finally, how to present your findings and wow the audience
What Will I Learn?
  • Successfully perform all steps in a complex Data Science project
  • Create Basic Tableau Visualisations
  • Perform Data Mining in Tableau
  • Understand how to apply the Chi-Squared statistical test
  • Apply Ordinary Least Squares method to Create Linear Regressions
  • Assess R-Squared for all types of models
  • Assess the Adjusted R-Squared for all types of models
  • Create a Simple Linear Regression (SLR)
  • Create a Multiple Linear Regression (MLR)
  • Create Dummy Variables
  • Interpret coefficients of an MLR
  • Read statistical software output for created models
  • Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models
  • Create a Logistic Regression
  • Intuitively understand a Logistic Regression
  • Operate with False Positives and False Negatives and know the difference
  • Read a Confusion Matrix
  • Create a Robust Geodemographic Segmentation Model
  • Transform independent variables for modelling purposes
  • Derive new independent variables for modelling purposes
  • Check for multicollinearity using VIF and the correlation matrix
  • Understand the intuition of multicollinearity
  • Apply the Cumulative Accuracy Profile (CAP) to assess models
  • Build the CAP curve in Excel
  • Use Training and Test data to build robust models
  • Derive insights from the CAP curve
  • Understand the Odds Ratio
  • Derive business insights from the coefficients of a logistic regression
  • Understand what model deterioration actually looks like
  • Apply three levels of model maintenance to prevent model deterioration
  • Install and navigate SQL Server
  • Install and navigate Microsoft Visual Studio Shell
  • Clean data and look for anomalies
  • Use SQL Server Integration Services (SSIS) to upload data into a database
  • Create Conditional Splits in SSIS
  • Deal with Text Qualifier errors in RAW data
  • Create Scripts in SQL
  • Apply SQL to Data Science projects
  • Create stored procedures in SQL
  • Present Data Science projects to stakeholders
enroll now

10.Tableau 10 A-Z: Hands-On Tableau Training For Data


Learn Tableau 10 for Data Science step-by-step. Real-Life Data Analytics Exercises & Quizzes Included. Learn by doing!

Tableau 10 A-Z


7.5 hours on-demand video

2 Articles

Full lifetime access

Access on mobile and TV

Certificate of Completionenroll now


Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly

  • Connect Tableau to a Variety of Datasets
  • Analyze, Blend, Join, and Calculate Data
  • Visualize Data in the Form of Various Charts, Plots, and Maps
What Will I Learn?
  • Install Tableau Desktop 10
  • Connect Tableau to various Datasets: Excel and CSV files
  • Create Barcharts
  • Create Area Charts
  • Create Maps
  • Create Scatterplots
  • Create Piecharts
  • Create Treemaps
  • Create Interactive Dashboards
  • Create Storylines
  • Understand Types of Joins and how they work
  • Work with Data Blending in Tableau
  • Create Table Calculations
  • Work with Parameters
  • Create Dual Axis Charts
  • Create Calculated Fields
  • Create Calculated Fields in a Blend
  • Export Results from Tableau into Powerpoint, Word, and other software
  • Work with Timeseries Data (two methods)
  • Creating Data Extracts in Tableau
  • Understand Aggregation, Granularity, and Level of Detail
  • Adding Filters and Quick Filters
  • Create Data Hierarchies
  • Adding Actions to Dashboards (filters & highlighting)
  • Assigning Geographical Roles to Data Elements
  • Advanced Data Preparation (including latest updates in Tableau 9)

enroll now


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Top 35 Courses to boost your career

Digital Marketing, machine learning articles


data science pic

Do you want to upgrade your skills with the best Data Analytics , Development courses , to standout in your industry? Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subject in every sector for almost every industry.


Top Trending Courses in Udemy

Udemy Course Goal:
The first step in creating a great course is deciding exactly what you’ll teach, who you’re creating your course for, and what those students are looking to accomplish. It’s not just picking a course topic – instead, you’ll specify your course goals and target student to understand exactly who you’re hoping to teach. Defining your target student and course goal helps you create a solid foundation for building a successful Udemy course.


Some of these top-selling Hot pick certification programs are for beginners as well as for advanced learners.

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Course URLCategory
 1C#Learn to Code by Making Games – Complete C# Unity DeveloperLearn to Code by Making Games - Complete C# Unity DeveloperDevelopment
 2AWS CertificationAWS Certified Solutions Architect – Associate 2017 click hereIT & Software
 3Web Development FundamentalsThe Web Developer Bootcamp click hereDevelopment
 4PythonComplete Python Bootcamp: Go from zero to hero in Python click hereDevelopment
 5JavaComplete Java Masterclass click hereDevelopment
 6Web Development FundamentalsThe Complete Web Developer Course 2.0 click hereDevelopment
 7Keyboard InstrumentPianoforall – Incredible New Way To Learn Piano & Keyboard click hereMusic
 8Data ScienceMachine Learning A-Zâ„¢: Hands-On Python & R In Data Science click hereBusiness
 9Business FundamentalsAn Entire MBA in 1 Course:Award Winning Business School Prof click hereBusiness
 10C++The Unreal Engine Developer Course – Learn C++ & Make Games click hereDevelopment
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Continue reading »

A list of the learning resources I found most helpful

Free Technical Stuff, machine learning articles


One of my friends recently started taking a course in full-stack web development, and was asking for my advice since I similarly took the “self-taught” route to becoming a full-time programmer. After chatting about things I’m glad I had done and things I wish I had done differently, I sent him this email detailing a list of resources I had found useful over the course of my self-education these past few years.

Having benefited from this subreddit in the past (nearly 4 years ago), I thought it might be interesting to share that list here as well :). A lot of it is pretty standard, well-known material, but hopefully someone else may find it to be useful as well.

So here’s the list of a bunch of my favorite learning resources. I put one asterisk (*) next to the material I’ve gone through pretty thoroughly and found to be quite useful, and two asterisks (**) next to the items I think should be required reading.

Fundamentals of programming:

JavaScript resources:

  • You Don’t Know JS** (I found this ebook really helpful in deepening my knowledge of JavaScript, though I may be biased because I took a workshop with the author)

  • Eloquent JavaScript (I personally liked the “You Don’t Know JS” book better, but this one’s great too)

Ruby/Python resources:

  • I don’t know many of these off the top of my head but you should try to find some if you expect to be using these a lot! Here a couple resources I found:

  • Python Books for Beginners (you’ll have to do more research into which of these are the best)

  • MIT: Intro to CS and Programming in Python (this could also fall under the “Fundamentals” section)

    Free python courses

Functional programming:

  • (BTW – you may not find these resources useful or even interesting while you’re still getting started with the fundamentals, but I personally found that experimenting with functional programming made me much stronger both in how I think about and how I write code)

  • Learn You A Haskell* (just the first few chapter are probably good enough, it starts getting pretty hard/confusing toward the end if you have no background in functional programming)

  • Brave Clojure (I personally like the Haskell book better, but some of my friends really like Clojure so I think it’s worth checking out)

  • Intro to Elm (Elm is really interesting because it compiles to JavaScript and is meant to be used to build UIs… it follows a lot of the same patterns that React/Redux use in JS, so I would focus on learning React/Redux before looking at Elm)

  • Intro to Composable Functional JavaScript* (this is a fantastic/fascinating video series on writing JS in the functional style, but it’s probably best to wait until you feel comfortable with the fundamentals, i.e. after you’ve read “You Don’t Know JS” or “Eloquent JavaScript”)

Interview prep:

  • Cracking the Coding Interview* (as much as it pains me to suggest this, it’s great for tips and as a guide for data structures and common algorithms… also if you go through this book thoroughly, you’ll be super prepared for most interviews, though it’ll be a bit of a slog to get through)

  • Awesome Interview Questions (just focus on the languages/frameworks you use)

  • Triplebyte Blog (I’ve only skimmed through this, but I hear this company has a lot of good material around interview prep)

  • Front-end Interview Questions* (I originally pulled these from here but it looks like these might’ve changed a bit since I last looked at them… anyway, the material is incomplete and not super well organized but it might still might be useful as a template for note-taking)

  • Leetcode* (I’ve heard paying for premium for a month or two is a great way to get a sense of what kinda questions companies are actually asking)

  • HackerRank (similar to Leetcode, includes a wide variety of interview questions to practice)

“Fun” Project Ideas:

  • A Twitter bot (for example, I made one that just scraped and would tweet out random quotes from my favorite authors)

  • reddit bot (for example, I made one that pulled scoring data from and would reply to people with the score of a game if they asked for it… it didn’t take long for it to get banned haha)

  • A webscraper (for example, when I was looking for apartments I wrote a script that scraped Craigslist and then automatically sent out a canned email to any listings that fit my criteria) A blog build in React (and then maybe adding Redux later to learn the benefits of a “state container”, and maybe experimenting with a server in Python/Flask or Ruby/Sinatra instead of Node/Express)

  • An app that integrates multiple APIs (for example, I made one that pulled data from Foursquare and Yelp to show which venues had the most activity on Google maps)

I know such a long list can be a bit overwhelming so if I were you, I’d start with “Clean Code”, “You Don’t Know JS” (or a similar book for Python or Ruby), and “Cracking the Coding Interview”. The goal is to have good overall coding fundamentals (“Clean Code”), to know one language particularly well (“You Don’t Know JS”), and to have a decent background in data structures/algorithms (“Cracking the Coding Interview”). It’s also best to have some practical experience from personal side-projects or open source contributions, but it sounds like you’re getting plenty of that from your course :).

Also, I definitely wouldn’t make it a goal to get through all of this material… just find what’s most useful to you. It took me over a year to get through most of this, and I’ve only just started “seriously” going through “Cracking the Coding Interview”, since in the past I’d only skim it when I was prepping for interviews.

One thing I’ve been doing to make “Cracking the Coding Interview” more digestible is keeping a repo of the questions and answers in JS/ES6 which forces me to think through the problems and actually write out solutions. Maybe a similar approach can work for you? Also, if I were you I’d try to tackle those problems in Python or Ruby instead of JS, unless you plan on specializing in front-end programming.

I hope this is helpful, and let me know if you have any questions!


Explore additional resources here

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The Effect of White Noise Machines on a Child’s Learning and Behavior

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Identifying a child who may benefit from a white noise machine

It’s likely that the 1 in 3 adults who suffer from insomnia and sleep related troubles experienced similar problems as children. It’s widely understood that lack of sleep can impact a child’s ability to learn and grow, but little information exists about how to identify sleep troubles and ways to solve the problem.

Babies that lack proper sleep tend to be more irritable and have a more difficult time learning new tasks. Tired babies can easily succumb to fits of rage, often chalked up to a personality trait. School age children who lack proper rest tend to function below their innate ability level in school. They can even exhibit signs similar to that of a learning disability simply due to sleep deprivation. Before trying medicines or accepting the behavior, try testing the effects of a white noise machine.

What is a white noise machine?

The white noise machine was developed to aid those who are highly sensitive to noise pollution to achieve the deep peaceful sleep needed to remain alert and refreshed throughout the day.

White noise machines simultaneously emit a soft sound composed of every sound frequency audible to man. The result is a gentle hum that when exposed to, makes it difficult for the brain to subconsciously tune in to the distracting sounds that cause difficulty falling asleep and restless nights.

Winning the bedtime battle

Children require much more sleep than adults. Because adults need less sleep, they don’t always realize how little sleep their child receives compared to amount recommended by pediatricians. Oftentimes, the fight to get children to sleep seems like an uphill battle. Many parents think that as long as their kids aren’t falling asleep in classes or throughout the day, that they are getting the proper amount of sleep.

For kids who are highly sensitive to noise, falling asleep while other family members are still awake and making noises can be frustrating and fruitless. By placing a white noise machine in the child’s room, the sounds of the household are drowned out, allowing the child to fall easily into much needed sleep.

Using a white noise machine to improve concentration

Children with an acute distraction to noises not only experience trouble at bedtime, but at other times throughout the day when relaxation or concentration is required. Placing a white noise machine in the room with babies and toddlers during play allows them to concentrate more on the tasks and functions of their educational toys.

School age children can show marked improvement when studying or completing homework assignments in a room with a white noise machine. For some children and adults, outside noise distractions are detrimental to a steady stream of concentration. When the brain is not distracted by outside noise distractions, children may experience an increased sense of pride in their ability to grasp concepts and work out problems.

Because noise is such a constant factor in our lives, we’ve learned to tune out much of it subconsciously. For those who can’t or have a difficult time doing so, even the slightest amount of noise distraction can have major impacts on daily life that add up over the course of a lifetime. A white noise machine can often be the solution eliminating unnecessary crankiness and poor grades and the beginning of a refreshing life.

Source by Christine Harrell

Best Sewing Machines for Beginners

machine learning articles


If you’re thinking of taking up sewing then I congratulate you, you have chosen a great hobby that will not only give you years of fun and an outlet for your creativity, but will also save you a lot of money over the coming years. When you have acquired the necessary skills, and, believe me, you will soon pick them up. You will be able to totally transform your home.

Take a standard pair of curtains and sew your own personality into them, make clothes for yourself or your children, virtually transform any piece of material into how you like. Think how satisfying it is to make your own clothes and home fabrics.

OK you may have already figured that out which is why you want to take up sewing. The question on your mind is which is the best sewing machine to start with? Right. OK let’s have a look.

First thing that swamps the beginner is the sheer amount of machines available. Singer, Janome and brother to name just three great sewing machines.

It is obviously a matter of opinion and we all have our own opinions about what is the best machine. I will help you by giving you some guidelines. First I would go for a computerized machine. These are the standard today and I firmly believe in staying up with technology. I really don’t see the point in learning on older machines when you can learn on modern computerized machines.

Some people would argue that it’s best to learn on older machines and move up slowly. This is a fair point but not one I agree with. If you’re starting from scratch you may as well learn on a new computerized machine with all the mod cons on it.

If you learned on an older machine you would soon want to move to a more advanced machine and take advantage of all the computerized functions which simplify many tasks. So you may as well start on a computerized model. You wouldn’t want to learn to drive in a 1920s ford would you? So why learn on an old machine?

The good news is that the prices for a good machine are really reasonable and the functions these machines have are amazing. You can do things on a small machine in your home that required much bigger machines not so long ago.

All today’s sewing machines are computerized which means everything you can do on a machine is made easier due to computerization. You can even get embroidery machines that will instruct you step-by-step on how to make things. The instruction takes place on the LED screen.

You want to be looking for a machine that doesn’t cost too much to begin with. If you are just taking sewing up you could look at a second hand machine. The argument for buying a second hand machine is that it’s better to spend $120.00 on a second hand expensive machine than to spend $120.00 on a new inferior machine.

This is a good idea but not one I agree with. A few years ago this may have been a good strategy but the cost of machines has come down so much I think looking for a new machine is the way to go. As you become a more experienced sewer you will come to love particular machines. The best way to choose a sewing machine is to ask yourself some questions.

A beginner will need a machine with a number of basic stitches; every machine on the market will give you this. As a general rule the more stitches the sewing machine has the more expensive it will be.

Ask yourself what you want to do with the machine. Are you looking to make clothes, home furnishings, repairs, quilting or other crafts? For clothes for example you want a machine with a “free arm” this makes sewing sleeves and things like that much easier. If you are looking to do quilting then you need a machine with a wider range of stitches. If you are looking to do upholstery then you will need a strong heavy duty machine. A cheap machine will not cope with upholstery.

How often do you think you will use the machine? If you intend to get into sewing in a big way then you need to buy a more expensive machine that will stand up to heavy use. It’s not possible to name a machine and say this is the best one. I know people who swear by Janome sewing machines, saying they are the best machines on the market, others will swear by singer sewing machines, we all have our own favourites.

You can get an excellent machine for between $150 to $200. The more you’re willing to spend the more you will get. The first thing you should do is get familiar with what a machine does and learn about all the parts on the machine and what they do. Do some research, even download some manuals. Singer has excellent manuals that you can download and read. These will familiarize yourself with the parts of machines.

Source by Rosie Andrews

Artificial Intelligence in Salesforce

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According to John McCarthy, who is the father of Artificial Intelligence, an AI is “The science and designing of making intelligent machines, especially intelligent PC programs”.

Artificial intelligence is a way of making a computer robot or a software think intelligently same as an intelligent human thinks. Artificial Intelligence (AI) is the concept of having machines “think like humans”.

AI has a huge effect on your life. Whether you are aware or not, it has already influenced your life style and it is very much likely to grow in coming years.

Here are some examples of AI that you are already using in your daily life:

• Your personal assistant Siri – It is an intelligent digital personal assistant on various platform (Windows, Android, and iOS). It provides you an assistance whenever you ask for it using your voice.

• Smart cars – Google’s self-driving car, and Tesla’s “auto-pilot” feature are two examples of Artificial Intelligence.

• Recommended products or Purchase prediction – Large retailers like Amazon, recommend you the products, send coupons to you, offer discounts, target advertisements on the basis of the shopping you earlier had by a predictive analytics algorithm.

• Music and movie recommendation services – Pandora, and Netflix recommend music and movies based on the interest you’ve expressed and judgements you have made in the past.

Other simple examples of AI influencing our daily life are:

– Facebook provides recommended photo tags, using face recognition.

– Amazon provides recommended products, using machine learning algorithms.

– Waze (a GPS and maps app) optimal routes, all at the click of a button.

– Spotify knows my music preferences and curates personalized playlists for me.

As per Marc Benioff, AI is going to impact corporate world, employees will be faster, smarter and more productive. It will learn from the data. Ultimately, it will understand what customers want before even they know and it could be a game-changer in the CRM industry.

Salesforce already bought productivity, and machine learning startups RelatedIQ, Metamind, and Tempo AI in 2014.

AI (Artificial Intelligence) in salesforce is not about time-travelling robots trying to kill us, or evil machines using humans as batteries in giant factories. Here we are not talking about some summer blockbusters, we are talking about the salesforce AI which will make your daily experience smarter, by embedding daily predictive intelligence into your apps.

So, what is AI?

AI is not killer robots; it is killer technology.

Artificial Intelligence (AI) is the concept of having machines “think like humans” – in other words, perform tasks like reasoning, planning, learning, and understanding language.

Customer focused AI: Salesforce Einstein

Salesforce is focusing on creating a platform for solving the customer problems across Sales, Service, Marketing and IT in a completely new way by using Salesforce Einstein.

Salesforce Einstein is built into the core of the Salesforce Platform. It enables anyone to use clicks or code to build AI-powered apps.

With Salesforce Einstein, we can have answer of these type of questions:

– Are you sure that you are servicing your customers by the right client?

– Are you sure that your customers are getting services on the right channel?

– Is it correct to say that you are offering the right item to the right customer at the right time?

– Is it correct to say that you are using the right channel for marketing your products at perfect time with best substance?

Salesforce Einstein is your data scientist

Einstein is like having your own data scientist dedicated to bringing AI to every customer relationship. It learns from all your data – CRM data, email, calendar, social, ERP, and IoT – and delivers predictions and recommendations in context of what you’re trying to do.

AI has the ability to transform CRM using Salesforce Einstein

– Sales people can spend more time in visiting customers, not in entering data in CRM.

– Sales people can now better understand the customer requirement and when they need it.

– Sales people can close deals faster by predicting the next step for every customer.

– A service agent could suggest a solution to the customer even before he asked for it.

– Service agent can offer cross-sell at the right time to the right customer.

– Marketing user can easily reach to the right customer at the right time.

– Marketing user know who could be the best audience for each campaign.

– He can easily identify the customer requirement so he delivers the perfect content to every customer.

Salesforce Einstein enables everyone to discover new ways, predict outcomes so help in decision making, recommend next steps, and automates most of your activities so that you can spend most of your time in building strong relationship with customers rather than making entries in system.

What will AI give me that I didn’t already have?

Predictive scoring -Predictive lead scoring gives each sales lead a score representing the likelihood it will convert into an opportunity. You also get the reasons

behind the score – for instance the lead source, the industry, or some other factor is an especially strong indicator that a lead will or won’t convert.

Forecasting -AI can also be used to predict the future value of something, like a stock portfolio or a real estate investment. If you’re a sales manager, AI can predict your quarterly bookings and let you know ahead of time whether or not your team is on track to meet its quota.

Recommendations – Anyone who shops online knows that AI makes suggestions for retail purchases, but it can also make smart recommendations for any other product or service category from business software to tax consulting to cargo containers. And AI can also recommend things other than products – for instance, which white paper you should email a prospect in order to optimize your chance to close a deal.

Who can use AI in the enterprise

Anyone in organization can easily use AI to analyze their data, predict and plan next steps, and automate their tasks and decisions. With Einstein’s comprehensive AI for CRM:

• Sales can anticipate next opportunities and exceed customer expectations by knowing what a customer needs before the customer does

• Service can deliver proactive service by anticipating cases and resolving issues before they become problems

• Marketing can create predictive journeys and personalize customer experiences like never before

• IT can embed intelligence everywhere and create smarter apps for employees and customers

What is Machine Learning

Machine learning is the core driver of AI. It’s the concept of having computers learn from data with minimal programming.

Source by Allie Laine

Learning The Passap e6000 For Beginners

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The Passap knitting machine is one of the most sought after knitting machines in the world because of its ability to create knit techniques. The word is 40,000 different types of knit fabrics can be created on the Passap knitting machine. That should be enough to keep anyone busy for a moment or two.

Having that much choice is wonderful, however the how to get from here to there is fairly extensive. Many people purchase their Passap knitting machine and before even looking through the manuals start pushing buttons and playing.

The tuition for learning the Passap e6000 for beginners can be very high because the damage that can be done by this type of approach is costly to repair if it can be repaired at all.

On the other hand the simple steps for the Passap are really easy to do if you just have the sequence right from the beginning. Resisting the urge to just start playing and button pushing is what is hard to do. In many areas of our lives that is the approach that we have often taken. Why read the directions? Many times they were written in a language that we did not understand and our impatience to just get going prevented us from slowing down long enough to figure the directions out. This is a very wrong move for a Passap knitting machine.

Yesterday, I wanted to cook something in my new microwave and the directions were to do part of the process at full power and the rest of the process at the middle power setting. It was so easy to find the instruction book and look up how to get to the middle power setting, do the steps and get the project underway. (I was hungry)

I wondered afterwords if I had just started pushing buttons if I would have ever gotten to the cooking part of the process. Some things are more intuitive that others. In the case of the microwave and the Passap the steps are not what you might think to do and hence you can spend a great deal of time pushing buttons with no positive outcome. My dinner would have taken way longer to get ready and I would have been really hungry if I had not opened the manual and looked up and then input the correct steps in order. Not what I thought they should be but what the computer on the microwave had to have in order to work.

Then lets mention button hitting. That is when you are in the console trying to do the programming and keep hitting buttons to try to get back to a screen on the console that looks familiar and stop the electronic buzzing the console does when you have made an error. That is one irritating sound.

Instead of turning the console off and back on, there is a better solution to stopping that sound and one that is highly recommended instead of the reflex action to turn the console off. You even have 3 choices of things you can do instead.

Any one of these three choices is much better for you and for the knitting machine-it is just catching ourselves quickly enough to make a different choice. Depending on how long you have been knitting on your Passap, you may have some serious re-training to do to overcome this issue.

It is important for you to begin to work towards this though as the Passap machines are no longer being made and if you keep your unhealthy reactions up, you may damage your machine beyond repair. I don’t know about you, but I just could not handle not having my Passap machines to work on when I want to knit.

Make a decision to learn your Passap knitting machine, how it works and the steps to take when the computer dialogue is taking you to an error screen and the electronic buzzing so when you get there in the future you can correct the data input you missed which caused this to happen. It is just the click of a button in the wrong sequence that creates the error and a click of a button to correct it.

Learn the right buttons to hit when you encounter this situation and don’t just start pushing or hitting buttons randomly to try to get the buzz to stop. It is really easy if you just know the steps and which order to put them into when you are talking about the programming part of the knitting project.

Make sure that the tuition you are paying for learning your Passap knitting machine is taking you to the right steps and not in the wrong direction.

Source by Marjorie J McDonald

How to Do a Correct Form Sit-Up

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How to do the most effective sit-up without a ball or machine

Learning how to perform the perfect sit-up is not difficult, and you don’t need anything to get it right except your body and the floor. Don’t believe any of the hype or gimmicks you see on TV or the Internet. The best way to do a sit-up is the good old fashioned way: lying flat on the floor with your knees bent and arms crossed in front of you.

Although crunch machines and exercise balls are popular, research has shown that a basic sit-up is most effective for a flat stomach when it is done properly without help from other equipment.

Steps to Doing the Perfect Sit-Up

1 – Lie flat on your back with your knees bent.

2 – Feet should be flat on the floor and kept near your buttocks, so that your legs are at a 90-degree angle.

3 – Cross your arms in front of your body, making an X by placing each hand on the opposite shoulder.

4 – Relax your body and consciously tighten up your abdominal muscles. To do this, you have to suck your belly button backward, toward your spine and push your lower back until it is flat against the floor.

5 – As you begin the sit-up, start by gently elevating your head and shoulders, then raising the top of your back and finally lifting your lower back until you are sitting straight up. Exhale your breath during this part of the sit-up.

– Keep your torso as straight as possible – at a 45-degree angle with your legs. Hold this position for a moment or two before you begin your descent.

7 – As you descend, slowly return yourself back to the floor, starting with your lower back, then your upper back, and finally your shoulders and head. Inhale your breath as you lower yourself into your starting position.

8 – Complete your inhale and relax your body for a moment before repeating the exercise for the planned number of repetitions.

Things to remember while performing the perfect sit-up

Stay focused on your abdominal muscles throughout the entire exercise, and use these muscles to perform the work. Don’t forget to breathe! Breathe out on the way up, and breathe in on the way down.

Begin slowly and add on to your repetitions gradually as your strength increases. Always warm up before and stretch when you have finished exercising.

Things to avoid while performing the perfect sit-up

If you feel any pain at all, especially in your neck or back, stop doing the exercise immediately and take a break. When in the top position of your sit-up, don’t lean forward toward your knees. Keep your back as straight as possible and your abs nice and tight as you hold this posture for a couple of seconds.

Don’t overdo it. You use your abs in many everyday activities, so if you strain this muscle group, it can negatively affect the most common of tasks.

Source by Jessica Oxford

9 Common Factors Driving the Freelance Economy

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What will drive the Freelance Economy?

I will go out on a limb and state this: Flexible and Freelance work will gain acceptance and accelerate in volume for many years to come. The work landscape will be vastly different a generation (just over two decades) from now; Flexible and Freelance work will be a significant and perhaps dominant aspect of it from today’s viewpoint. This is not new – it is likely you have heard about the brave new world of Freelance work already and Uber being used (wrongly) as the example for all things Freelance. While there is hype, there is enough good reason to believe that we are already on our way to a future as predicted above. In this article we will look at the various factors, whose interplay will favor a Flexible/ Freelance work economy. In the subsequent articles we will look at

  • Freelancing in technology work (forget Uber example), and
  • Freelance economy 2.0

What is leading us to the land of Flexible and Freelance work? We need to understand the direct and indirect causal factors in order to be prepared. Here are some key factors in play.

Automation Overheads:

Automation is leading to human work replacement in substantial numbers in manufacturing, distribution, and energy industries, through job redundancies or efficiency improvements. This will accelerate and result in the average number of work hours per person declining inexorably over the years to come. Add in Machine Learning and Artificial Intelligence, the services and healthcare industries will see humongous job losses. Most jobs will see the hours approach part-time territory by current standards (this would seem a safe and conservative prediction when you consider more futuristic predictions of very high but prosperous unemployment – Note 1).

Reducing overheads cost through Outsourcing:

Most businesses prefer variable costs to fixed costs. Most new businesses are designed with low FC model. Payrolls are a significant portion of fixed costs for many companies and as they opportunities to convert full time workers to part-time or independents without affecting company performance, they will use it. This, combined with the well proven approach of focusing on core competencies and leaving the rest to outside entities, creates strong incentives to continue reducing full time employment commitments. The outsourcing entities are incented to increase efficiencies

Variety & Specialization:

Ease of information access, relative abundance, and pace of innovation continue to grow together, creating newer specializations all the time, across industries and knowledge spaces. Many of these specializations do not justify full-time employment in most organizations benefiting from these innovations. This means that the market for specialized freelance services will continue to grow as professionals continue mastering new knowledge areas and offer their services to those who need the same, without the constraints of employment contracts.

Cloud Mentality:

Young companies are born and continue to grow while remaining very lean; established old corporate entities are embracing the cloud mentality too preferring to rely on resources, both material and human, outside their organizations, for services that are even core to their existence. The cloud mentality signifies the willingness of organizations to collaborate with outside workers, developing models of engagement with low overheads and high innovation.


Developing and under-developed nations with limited labor regulations that constrain businesses (and protect labor) will be quicker in adoption and spread of flexible, freelance work structures – as alternate forms of industry self-regulation and support structures (like cooperative wage insurance, medical benefits, etc.) take hold. Contrary to what would be expected, developed nations, like ours, will be slower to adapt due to entrenched structures/ ideologies (like employer linked benefits, protectionist tendencies) and ageing population.

On Demand Information:

As it becomes easier to identify and reach what we need when we need, employers will take the best of breed approach, recruiting resources to address specific needs on an ad-hoc or planned intermittent basis. Workers/ professionals too will find it easier to reach entities that need their help and will get conditioned to holding multiple part-time engagements at the same time.

Service Intermediation:

Conveying and ensuring trust and quality for their clients are the key purposes of most organizations. Services industries have built fortunes on the basis of ensuring trust and quality (through proven business practices and capabilities) bringing together resources and clients in delivery of various services. The intermediation that assures quality and trust will gradually shift to lower overhead platforms with lesser contractual constraints, thanks to technology and collaboration. Novel forms of organizations – Note 2 will take over making part-time and freelance work easy to contract and easier to provide.


As college education continues to get costlier by the year, the demand for shorter duration programs will increase, with focus on skills that are in demand then. There will be demand for continual short-burst education/ training with newer skills getting added. Most knowledge workers will benefit from such programs by developing specialist skills in select areas.


There will be massive retraining needs as blue collar workers losing out to automation have to be trained in service areas; the ability of the government and society to engineer and manage such a retraining effort will both avert serious pain and pave way to newer industries and businesses that are built on part-time and freelance service labor.


Note 1:

There are extreme predictions of most of the working-age humans being without regular employment because of automation; this also means that automation causes such abundance those humans get almost everything they need without working for it (in some form of essential social subsidy).

Note 2:

Will cover the novel forms of organizations in article #3 – Freelance economy 2.0.

Source by Herald Ignatius Manjooran

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