Machine Learning

All about machine learning and deep learning

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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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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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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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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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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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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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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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