Machine Learning

All about machine learning and deep learning

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Why data science and machine learning are the fastest growing jobs in the US

The US could have as many as 250,000 open data science jobs by 2024, and the data science skills gap will find companies scrambling to train or hire talent in the coming years

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PyTorch tutorial: Get started with deep learning in Python

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library

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Shifting from machine logic to intelligent interfaces

While machine learning introduces new approaches to software, AI’s more transformative impact will be in the way we interface with each other, businesses, and the world around us

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Artificial general intelligence (AGI): The steps to true AI

Early AI research tackled the challenge the wrong way, but there’s now progress around machine intuition, unsupervised learning, and creativity

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A quick-and-dirty way to predict human behavior

The Alternating Least Squares (ALS) technique is fundamental to many machine learning applications. Here’s how it works

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Building trust in machine learning and AI

If we understand how discrimination and bias enter algorithmic decision making, we have an opportunity to eliminate them

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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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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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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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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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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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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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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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