Machine Learning

All about machine learning and deep learning

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Get started with TensorFlow

Begin harnessing the power of Google’s open source machine learning library with InfoWorld's hands-on tutorial

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For developers, the focus is deep learning, multiplatform, and coding skills

Angular, TensorFlow, React, and Electron all have seen large increases in developer activity on GitHub

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How classification and clustering work: the easy way

People are often confused about what these are and what the difference is. So here is an explanation using the old-fashioned way: in an Excel spreadsheet

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Technology of the Year 2018: The best hardware, software, and cloud services

InfoWorld’s 2018 Technology of the Year Award winners recognize the best tools and technologies for software development, cloud computing, data analytics, and machine learning

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InfoWorld’s 2018 Technology of the Year Award winners

InfoWorld editors and reviewers pick the year’s best software development, cloud computing, data analytics, and machine learning tools

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What is deep reinforcement learning: The next step in AI and deep learning

Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job

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The future of coding is about making real things

As AI and manufacturing come together through 3D printing, we coders will come in charge of how things are actually made

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What you need to know about Azure Notebooks

Microsoft has built an analytic playground with open-source Jupyter Notebooks in its cloud

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TensorFlow review: The best deep learning library gets better

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use

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Dawn of intelligent applications

The future is intelligent applications. Learn how companies are shifting from big data to intelligent application approaches

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DIY GPU server: Build your own PC for deep learning

Building your own GPU server isn't hard, and it can easily beat the cost of training deep learning models in the cloud

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Julia vs. Python: Julia language rises for data science

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job

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How to implement a recommender system

Take advantage of matrix factorization and graph algorithms to give the users of your application exactly what they want

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What AI can really do for your business (and what it can’t)

Artificial intelligence, machine learning, and deep learning are no silver bullets. A CIO explains what every business should know before investing in AI

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How to choose the right Azure cloud VMs

As Microsoft’s cloud gets more complex, building infrastructure as a service gets easier

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What to know before you get started with TensorFlow machine learning

Machine learning isn’t something you buy but something you do. Use TensorFlow to experiment now with machine learning so you can build it into your DNA

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No, you shouldn’t keep all that data forever

Most of your old data is useless trash. So throw it away, rather than spend all the time and money hoping AI will figure something out about it

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Beyond NLP: 8 challenges to building a chatbot

Natural language processing is the key to communicating with users, but doesn't solve the business problem on its own

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