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AI Machine Learning Authors and Writers – Whoops There Goes My Freelance Writing Gig

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Are our days numbered as writers? Will Artificial Intelligence write all the articles and literary works of the future? There is a very good chance that the answer to this question is; Yes! Indeed if you are a Freelance writer and this is how you make your money, I bet you are getting a little concerned, or maybe you aren’t – feeling superior to artificial intelligence. Recently, an online writer asked me; “What about advanced skills? Will computers be able to produce content anyone actually engages with? How far off do you think this is?”

Yes, someday, probably within 5-7 years, right now ChatBots are getting better and more widely used, easily breaking the Turing Test. Carnegie Mellon, Google X-Labs and Facebook’s AI program are all working on AI writers along with IARPA and others such as MIT, where they are working on novel writing too, by taking every potential plot, and every character name, and all the psychological profiles of every character ever created, and then blending and using derivative software (albeit, much better than today’s stuff). These pieces will be pleasing to human readers and as humans rate them the machine learning system will adapt to tastes by percentage of likes, developing niche categories.

Think of a 10-page short story, you or I could pen one with Voice Software in a day, and an AI computer could do 10 per minute – kind of overwhelming.

Further computer AI systems like IBM’s Watson will go one step further, allowing for creative products, stories, original thoughts, combining examples, allegories, analogies, even jokes with trivia and recent events, puns, plays on words, etc. The better writer you are and the more advanced your skills the better chances you’ll have of still being in the profession by 2025, but you need to hone your skills now, learn all you can and master your trade or you are Off The Island or “You’re Fired!” as the Donald might say.

Our Think Tank is working on such things, not to put anyone out of business, but rather so the people who have access to such things are actual writers so they don’t gum up the system, as Content Writers with crappy content have – when Google axed them on the Penguin Algorithm fix – that helped then, but these AI derivative systems are getting better all the time – it’s still going to be a while, but not as long as most writers think – we are an arrogant bunch. We think we can never be replaced, that we are so brilliant and so creative that a machine could never do what we do. Wrong!

You see, any linguist or human brain expert will tell you that our brains are hardwired for human language and our writing comes with rules. Rules can be programmed fairly easily, proof of this would be grammar checkers, today there are a few really good ones, yes, I know they haven’t replaced top-notched editors yet, but they will – same analogy goes for writers – our years are numbered. 10 if you are good at your trade, 15 if you are a superstar. I give myself about 8-9 years, and it’s all over, worse the more I write the better the AI programs get, see that unfortunate truth, the system learns from us. Maybe IT, actually stands for “it” and It will one day control all of human society, civilization and we will just live in Its Kingdom – not to peddle too much of my next science fiction piece, but I am just saying.

Please consider all this and think on it, and sorry if I was the one who had to break the bad news to you, but that bad news will also be written by an artificial intelligent machine, who will most likely put the best spin on it.



Source by Lance Winslow

Business Intelligence in the Music Industry

machine learning articles

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The use of social networking and digital music technologies generate a large amount of data exploitable by machine learning, and by looking at possible patterns and developments in this information, tools can help music industry experts to gain insight into the performance of the industry. Information on listening figures, global sales, popularity levels and audience responses to advertising campaigns, can all enable the industry to make informed decisions about the impact of the digitization on the music business. This can be achieved through the use of Business Intelligence assisted with machine learning.

Machine Learning is a branch of artificial intelligence, which gives computers the ability to implement learning behaviour and change their behavioural pattern, when exposed to varying situations, without the use of explicit instructions. Machine learning applications recognise patterns as they emerge, and adjust themselves in response, to improve their functionality.

The use of real-time data plays an important role in effective Business Intelligence, which can be derived from all aspects of business activities, such as production levels, sales and customer feedback. The data can be presented to business analysts via a dashboard, a visual interface which draws data from different information-gathering applications, in real time. Having access to this information almost immediately after events have occurred, means that businesses can react immediately to changing situations, by identifying potential problems before they have a chance to develop. By being able to regularly access this information, organisations are able to monitor activities closely, providing immediate input on changes such as stock levels, sales figures and promotional activities, allowing them to make informed decisions and respond promptly.

Using Business Intelligence to monitor P2P file sharing can provide a detailed insight into both the volume and geographical distribution of illegal downloading, as well as giving the music industry with some vital insight into the actual listening habits of the music audience. By analysing patterns in data on downloads, music professionals can identify recurring trends and respond to them accordingly, for example, by providing competitive services – streaming services like Spotify are now driving traffic away from P2P filesharing, towards more monetizable routes.

Social networks can provide invaluable insight to the music industry, by giving direct input on fans’ feedback and opinions. Automated sentiment analysis is a useful method of gaining insight into these unofficial opinions, as well as gauging which blogs and networks exert the most influence over readers. Data mined from social networks is analysed using a machine learning based application, which is trained to detect keywords, labelled as positive or negative. It is necessary to ensure that the technology can adapt and evolve to changing patterns in language usage, while requiring the least amount of supervision and human intervention. The volume of data would make manual monitoring an impossible task, so machine learning is therefore ideally suited. The use of transfer learning, for example, can enable a system trained in one domain to be used in another untrained domain, allowing it to keep up when there is an overlap or change in the expression of positive and negative emotion.

After the available data is narrowed using machine learning based applications, music industry professionals can be provided with information regarding artist popularity, consumer behaviour, fan interactions and opinions. This information can then be used to make their marketing campaigns more targeted and efficient, helping in the discovery of emerging artists and trends, minimise damage from piracy and help to identify the influential “superfans” in various online communities.



Source by Oswald Bousseau

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Careers in Data Science A-Z

Docker Mastery: The Complete Toolset From a Docker Captain

machine learning articles

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Includes:
8 hours on-demand video
16 Articles
3 Supplemental Resources
Full lifetime access
Access on mobile and TV
Certificate of Completion

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What Will I Learn?
How to use Docker and Compose on your machine for better software building and testing.
Build a fancy multi-node Swarm cluster for production deployments!
Skills to build advanced development environments with your code running in containers.
Update and change your Swarm Services without downtime using rolling updates.
Hand’s-on with best practices for making Dockerfiles and Compose files like a Pro!
Experience using multi-host logging and event monitoring for Docker Swarm.
Build and publish your own custom images.
Understand the new Windows Containers, and try your hand at ARM Containers.

Free Udemy Courses

Requirements
No paid software required – Just install your favorite text editor and browser!
Local admin access to install Docker for Mac/Windows/Linux.
Understand terminal or command prompt basics.
Linux basics like shells, SSH, and package managers. (tips included to help newcomers!)
Know the basics of creating a server in the cloud (on any provider). (tips included to help newcomers!)
Understand the basics of web and database servers. (how they typically communicate, IP’s, ports, etc.)
Have a GitHub and Docker Hub account.
Description
Be ready for the Dockerized future, where nearly all software is developed and deployed in containers. Welcome to the most complete and up-to-date course for learning and using Docker end-to-end, from development and testing, to deployment and production. Taught by a Docker Captain and DevOps consultant.

Just starting out with Docker? Perfect. This course starts out assuming you’re new to containers.

Or: Using Docker now and need to deal with real-world problems? I’m here for you! See my production topics around Swarm, secrets, logging, rolling upgrades, and more.

Why should you learn from me? Why trust me to teach you the best ways to use Docker? (Hi, I’m Bret, please allow me to talk about myself for a sec):

I’m A Practitioner. Welcome to the real world: I’ve got 20 years of sysadmin and developer experience, over 30 certifications, and have been using Docker and the container ecosystem for my consulting clients and my own companies since Docker’s early days. Learn from someone who’s run hundreds of containers across dozens of projects and organizations.
I’m An Educator. Learn from someone who knows how to make a syllabus: I want to help you. People say I’m good at it. For the last few years I’ve trained hundreds of people on using Docker in workshops, conferences and meetups. See me teach at events like DockerCon, O’Reilly Velocity, and Linux Open Source Summit. I hope you’ll decide to learn with me, and join the fantastic online Docker community.
I Lead Communities. Also, I’m a Docker Captain, meaning that Docker Inc. thinks I know a thing or two about Docker and that I do well in sharing it with others. In the real-world: I help run two local meetups in our fabulous tech community in Norfolk/Virginia Beach USA. I help online: usually in Slack and Twitter, where I learn from and help others.

 

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“There are a lot of Docker courses on Udemy — but ignore those, Bret is the single most qualified person to teach you.” – Kevin Griffin, Microsoft MVP

Giving Back: 3% of my profit on this course will be donated to supporting open source and protecting our freedoms online! This course is only made possible by the amazing people creating open source. I’m standing on the shoulders of (open source) giants! Donations will be split between the Electronic Frontier Foundation and Free Software Foundation. Look them up. They’re awesome!

This is a living course, and will be updated as Docker features and workflows change.

This course is designed to be fast at getting you started but also get you deep into the “why” of things. Simply the fastest and best way to learn the latest docker skills. Look at the scope of topics in the Session and see the breadth of skills you will learn.

Also included is a private Slack Chat group for getting help with this course and continuing your Docker and DevOps learning with help from myself and other students.

“Bret’s course is a level above all of those resources, and if you’re struggling to get a handle on Docker, this is the resource you need to invest in.” – Austin Tindle, Course Student

Some of the many cool things you’ll do in this course:

Edit web code on your machine while it’s served up in a container
Lock down your apps in private networks that only expose necessary ports
Create a 3-node Swarm cluster in the cloud
Use Virtual IP’s for built-in load balancing in your cluster
Optimize your Dockerfiles for faster building and tiny deploys
Build/Publish your own custom images based on GitHub commits
Create your own image registry
Use Swarm Secrets to encrypt your environment configs, even on disk
Deploy container updates in a rolling update always-up design
Create the config utopia of a single YAML file for local dev, CI testing, and prod cluster deploys
And so much more…

After taking this course, you’ll be able to:

Use Docker in your daily developer and/or sysadmin roles
Make Dockerfiles and Compose files
Build multi-node Swarm clusters and deploying H/A containers
Build a workflow of using Docker in dev, then test/CI, then production with yaml
Protect your keys, TLS certificates, and passwords with encrypted secrets
Keep your Dockerfiles and images small, efficient, and fast
Develop locally while your code runs in a container
Protect important persistent data in volumes and bind mounts
Lead your team into the future with the latest Docker container skills!

Extra things that come with this course:

Access to the course Slack team, for getting help/advice from me and other students.
Bonus videos I put elsewhere like YouTube.
Tons of reference links to supplement this content.
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Who is the target audience?
Software developers, sysadmins, IT pros, and operators at any skill level.
Anyone who makes, deploys, or operates software on servers.

 

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Free AWS Courses List

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Information security is deeply important to allcustomers. AWS Security Fundamentals is a free, online course that introduces you to fundamental cloud computing and AWS security concepts, including AWS access control and management, governance, logging, and encryption methods. It also addresses security-related compliance protocols, risk management strategies, and procedures for auditing AWS security infrastructure.

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Deal of the Day: Upto 85% Off on Deals Every Hour

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Amazon deal of the day is a dedicated section where you can find list of top ongoing deal from world’s no.1 e-commerce site. Every we update this page with top 50 Lightning Deals that are valid for limited period of time. Not only this, because the deals are very exclusive, lightning deals are generally applicable on a limited quantity of products. The products are so limited and with such a low price that the Amazon limits the deals to one product per person. Once the lightning deal duration ends,the products restore themselves to their earlier prices. Not only this, Happy hour promotions can be grabbed from the Lightning deals widget.
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