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.
From Azure Data Engineering by Richard Nuckolls
This article delves into Azure’s tools for data engineering and why you should consider using them.
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?
From Real-World Natural Language Processing by Masato Hagiwara
From Real-World Cryptography by David Wong
From Pulsar in Action by David Kjerrumgaard
From Probabilistic Deep Learning with Python by Oliver Dürr, Beate Sick, and Elvis Murina
From Algorithms and Data Structures in Action by Marcello La Rocca
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.