Subject

Data Science

PyTorch Crash Course, Part 3

From Deep Learning with PyTorch

by Eli Stevens and Luca Antiga

In this article, we explore some of PyTorch’s capabilities by playing generative adversarial networks.

What do Cooking Pasta and Data Science Have in Common?

From Data Science at Scale with Python and Dask by Jesse C. Daniel

This article discusses Dask, how it compares to Apache Spark, and how to create and understand directed acyclic graphs using the example of the delicious Italian pasta dish bucatini all’Amatriciana.

PyTorch Crash Course, Part 2

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

In this article, we explore some of PyTorch’s capabilities by playing with pre-trained networks.

A Practice-Oriented Approach to Data Science


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From Practical Data Science with R, Second Edition
By Nina Zumel and John Mount

Get into Deep Learning


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From Grokking Deep Learning in Motion
By Beau Carnes

Learn to Create Constantly-Learning AI Agents


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From Reinforcement Learning in Motion
By Phil Tabor

Deep Learning with Generative Adversarial Networks


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From GANs in Action
By Jakub Langr and Vladimir Bok

PyTorch Crash Course, Part 1

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

This article introduces you to PyTorch and discusses why you might want to use it in your deep learning projects.

Start Leveraging Deep Learning


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From Deep Learning with R in Motion
By Rick J. Scavetta

Put Deep Learning to good use!


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From Deep Learning with PyTorch
By Eli Stevens and Luca Antiga

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