Machine Learning

All about machine learning and deep learning

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Review: Amazon SageMaker scales deep learning

AWS machine learning service offers easy scalability for training and inference, includes a good set of algorithms, and supports any others you supply

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ML Kit: Google brings machine learning APIs to mobile developers

The beta machine learning kit supports iOS and Android apps via the Firebase IDE and with TensorFlow Lite support

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Real-time AI gets closer with Project Brainwave

Microsoft’s Project Brainwave extends Azure ML to datacenter and network hardware, to bring the machine learning processing where the data is

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A lesson on today’s AI for the masses

When it comes to off-the-shelf artificial intelligence solutions, the more things change, the more they stay the same

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Python developers profiled: What you use, what you do

A survey of 9,500 developers shows what Python programmers use and what they work on. See how typical you are as a Python developer

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What’s new in TensorFlow machine learning

Google’s TensorFlow 1.8 machine learning library adds improved support for Google Cloud TPUs and prefetching to GPU memory

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Why you should use Python for machine learning

Learn why Python has become the go-to programming language for machine learning and deep learning applications

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The 5 best programming languages for AI development

Which programming language should you pick for your machine learning or deep learning project? These are your best options

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Monetizing your models with machine learning solutions

Connecting the business user to the science is a necessary step for companies looking to extend their leadership position

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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

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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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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 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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