Subject

Data Science

Start Leveraging Deep Learning


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From Deep Learning with R in Motion

Put Deep Learning to good use!


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From Deep Learning with PyTorch

First Steps into Deep Reinforcement Learning

From Deep Reinforcement Learning in Action

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Free eBook: Exploring Data with Python

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Chapters selected by Naomi Ceder

Crunching Data with Dask


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Building your Data Pipeline with JavaScript


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By Ashley Davis

Managing Quality

From The Art of Data Usability by Tryggvi Björgvinsson

This article discusses quality management in terms of data and data projects. When you know what your users need or want, you’ll have to manage those expectations somehow, but how do you manage quality? It turns out that you approach it similarly to how you would try to properly answer a question.

Learning from the Past: data usability

From The Art of Data Usability by Tryggvi Björgvinsson

Everywhere we go we are surrounded by data, but it’s not always simple to interpret. Not only that, it’s also rather easy to mistakenly interpret data. This article, adapted from chapter 1, introduces the idea of “data usability” and goes into why it’s important in today’s data-rich world.

Murder Mystery: a data project


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By Tryggvi Björgvinsson

Go as a Machine Learning Problem

From Deep Learning and the Game of Go by Max Pumperla and Kevin Ferguson

This article is an excerpt from chapter 2 of the upcoming MEAP Deep Learning and the Game of Go. We’re going to look at the game of Go and discuss why it’s such a good subject and learning tool for machine learning and deep learning. Plus, we’ll also discover why games in general are such a good subject for AI as well as which aspects of game playing can be solved with machine learning.

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