Subject

Data

Ingesting Data from Files with Spark, Part 2

By Jean Georges Perrin

This is the second in a series of 4 articles on the topic of ingesting data from files with Spark. This section deals with ingesting a JSON file.

Ingesting Data from Files with Spark, Part 1

From Spark in Action, 2nd Ed. by Jean Georges Perrin

This is the first in a series of 4 articles on the topic of ingesting data from files with Spark. This section deals with ingesting data from CSV.

Deep Machine Learning

From Deep Learning Crash Course by Oliver Zeigermann
MMG-deep-machine-learning

Develop Superior Machine Learning Algorithms

From Graph-Powered Machine Learning by Alessandro Negro


slideshare-develop-superior-machine-learning-algorithms

Deep Learning with TensorFlow.js

From Deep Learning with JavaScript by Shanqing Cai, Stanley Bileschi, Eric D. Nielsen with Francois Chollet


slideshare-deep-learning-with-tensorflowjs

How Can You Benefit from Deep Learning?

From our Deep Learning Crash Course by Oliver Zeigermann


slideshare-how-can-you-benefit-from-deep-learning

More Sensitive Suggestions

From Deep Learning for Search by Tommaso Teofili

This article discusses how neural networks can help generate text that a human might write in order to provide more sensitive suggestions and enhance autocomplete functionality.

The Majestic Role of the Dataframe in Spark

From Spark with Java by Jean Georges Perrin

In this article, you’ll learn what a dataframe is, how it’s organized, and about immutability.

What Are GANs?

By Vladimir Bok, author of GANs in Action

This article discusses the history and meaning of Generative Adversarial Networks, and their potential.

What can Machine Learning do for your Business?


slideshare-what-can-machine-learning-do-for-your-business

From Machine Learning for Business by Doug Hudgeon, and Richard Nichol

© 2018 Manning — Design Credits