Evaluating a Classification Model with a Spam Filter

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

This article discusses how one can experiment with the effectiveness of a classification model using a spam filter.

Why Choose Azure for Data Engineering?

From Azure Data Engineering by Richard Nuckolls

This article delves into Azure’s tools for data engineering and why you should consider using them.

Packing Your Knapsack for a Trip to Mars

From Algorithms and Data Structures in Action by Marcello La Rocca

You’ve been selected to be among the first people to colonize Mars! Now you have to pack the optimal amount of food to get the most calories per kilogram—how can algorithms help?

Applied Natural Language Processing

From Real-World Natural Language Processing by Masato Hagiwara


The Guide to Cryptography

From Real-World Cryptography by David Wong


Build High-Traffic Applications

From Pulsar in Action by David Kjerrumgaard


A New Approach to Deep Learning

From Probabilistic Deep Learning with Python by Oliver Dürr, Beate Sick, and Elvis Murina


Expand Your Programming Skill Set

From Algorithms and Data Structures in Action by Marcello La Rocca


The Computer Vision Pipeline, Part 5: Classifier learning algorithms and conclusion

From Deep Learning for Vision Systems by Mohamed Elgendy

Aggregating Your Data with Spark

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

This article teaches you how to perform an aggregation using Apache Spark. You first look at the definition of an aggregation. You may already know and use aggregations in your job, and this might be a reminder for you. If this is the case, you can safely skim through it: Apache Spark’s aggregations are standard. The second part of this section shows you how to transform a SQL aggregation statement to Spark.

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