From Grokking Deep Learning for Computer Vision By Mohamed Elgendy
From Deep Learning and the Game of Go by Max Pumperla and Kevin Ferguson
This article shows you how to use the minimax algorithm to help your game bot decide its next move.
From Haskell in Depth by Vitaly Bragilevsky
This article explores text processing in the functional programming style.
From Classic Computer Science Problems in Python by David Kopec
A large number of problems which computational tools solve can be broadly categorized as constraint-satisfaction problems (CSPs). CSPs are composed of variables with possible values which fall into ranges known as domains. Constraints between the variables must be satisfied in order for constraint-satisfaction problems to be solved. Those three core concepts—variables, domains, and constraints—are simple to understand, and their generality underlies the wide applicabilit
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.
Chapters selected by Naomi Ceder
From Modern Fortran by Milan Curcic
In this part, we’ll conclude the article by using built-in functions and whole-array arithmetic to identify risky stocks, and find good times to buy and sell.
From Linux in Motion by David Clinton
From Math for Programmers by Paul Orland
