From Grokking Deep Learning for Computer Vision By Mohamed Elgendy
By Jean Georges Perrin
This is the third in a series of 4 articles on the topic of ingesting data from files with Spark. This section deals with ingesting a XML file.
From Math for Programmers by Paul Orland
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.
From Deep Learning Crash Course by Oliver Zeigermann
From Graph-Powered Machine Learning by Alessandro Negro
From Modern Fortran by Milan Curcic
From Data Science at Scale with Python and Dask by Jesse C. Daniel
This article discusses Dask, how it compares to Apache Spark, and how to create and understand directed acyclic graphs using the example of the delicious Italian pasta dish bucatini all’Amatriciana.
From Practical Data Science with R, Second Edition
By Nina Zumel and John Mount
