Machine Learning

Machine Learning | News, how-tos, features, reviews, and videos

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‘To supervise or not to supervise’ is a question at the heart of machine learning

A guide to unsupervised and supervised machine learning and understanding their application by businesses today

App dev trends going hot -- and cold

21 hot programming trends—and 21 going cold

Hot or not? From the web to the motherboard to the training ground, get the scoop on what’s in and what’s out in app dev

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Demystifying machine learning

Businesses need more than a machine learning engine or framework to successfully extract the valuable and actionable insights from their data—and not all machine learning solutions are created equal

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Google Cloud tutorial: Get started with Google Cloud

From virtual machines and Kubernetes clusters to serverless functions and machine learning APIs — how to navigate Google’s cloud riches

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How to get started with AI—before it’s too late

Put these five prerequisites in place so you can actually execute on your artificial intelligence strategy

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Data governance 2.0

Part 1 of a conversation with Jason Fishbain, chief data officer, University of Wisconsin at Madison

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Should AI be regulated?

When it comes to AI, we need to think about protecting the safety and well-being of people everywhere with sound and prudent governance

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Is the cloud the key to democratizing AI?

How cloud services are springing up to offer AI to companies that may otherwise lack the skills

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Sensors and machine learning: How applications can see, hear, feel, smell, and taste

All five senses take the form of some kind of sensor and some kind of mathematical algorithm, usually a supervised machine learning algorithm and a model

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How AI can help solve the ‘fake news’ problem

AI's role in the “fake news” phenomenon is very exaggerated, but AI can help address the misinformation manipulation now so prevalent

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How to write machine learning apps for Windows 10

Machine learning isn’t only for the cloud. Microsoft is bringing it to PCs in the next Windows 10 release. Here’s how to get started now

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Navigating time in knowledge graphs

The temporal benefits of cognitive knowledge graphs can affect almost any business problem, including basic issues of data management such as data quality, data cleansing, and integration

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Fog computing: an intelligent move for (artificially) intelligent startups

Once all the minor kinks are ironed out, the myriad benefits offered by cloud computing will burst the door open for AI startups

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Something is (still) rotten in the kingdom of artificial intelligence

Four types of problems in the land of artificial intelligence

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How will AI surveillance change the American workplace?

As more companies start to realize the benefits and cost-efficiency of these systems, they’ll start to be adopted in greater numbers, and employees will start seeing the positive and negative benefits alike

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The wonders of AI—or the shortcomings of search?

Thus far, the case for AI seems to mainly center on how it is taking search to the next level

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Machine learning: What developers and business analysts need to know

There is more to a successful application of machine learning than data science

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Redefining software testing in the era of microservices and AI

Software testing and software testing vendors will need to fundamentally rethink and reshape their approach, given the new paradigms of programming and software development

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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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