Flexible and Scalable Data Analysis

From PySpark in Action by Jonathan Rioux

Aggregating Your Data with Spark

From Spark in Action, Second Edition by Jean-Georges Perrin

Explaining MapReduce (with Ducks)

From Algorithms and Data Structures in Action, by Marcello La Rocca

This articles uses the example of a well-known family of animated ducks to explain MapReduce.

Practical Applications of GANs, Part 1

From GANs in Action by Jakub Langr and Vladimir Bok

In this article, we’ll:

Explore innovative practical applications of GANs that use multiple techniques.

Namely, we’ll look at applications in medicine (to see how GANs can be used to augment a small dataset to improve classification accuracy).

Managing a Successful AI Project, Part 2: what to avoid

From Succeeding with AI by Veljko Krunic

When running an AI team or project there are important pitfalls to be avoided. This article discusses some of the most common ones.

Store, Analyse, and Filter Data Better

From Pandas in Action by Boris Paskhaver

10 Ways that Human-in-the-Loop Machine Learning is Used Today

From Human-in-the-Loop Machine Learning by Robert Munro

Working with Files in Python

From Python Workout by Reuven Lerner

This article delves into working with files of varying types, in Python.

Hash functions and security

From Real-World Cryptography by David Wong This article explores hash functions: what they are and how they are used to increase software security. Take 37% off Real-World Cryptography. Just enter fccwong into the discount code box at checkout at…. Continue Reading →

Performance Limits and Profiling

From Parallel and High Performance Computing by Robert Robey

This article discusses benchmarking: bandwidth and flops.

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