Mathematics and Programming for Machine Learning with R -Chapter 2 Logic
Have a look at the FREE attached pdf of Chapter 2 on Logic and R from my recently published textbook,
Mathematics and Programming for Machine Learning with R: From the Ground Up, by William B. Claster (Author)
~430 pages, over 400 exercises.Mathematics and Programming for Machine Learning with R -Chapter 2 Logic
We discuss how to code machine learning algorithms in R but start from scratch. The first 4 chapters cover Logic, Sets, Probability, Functions. I am sharing Chapter 2 here on Logic and R here and will also probably release chapters 9 and 10 on Math for Neural Networks shortly. The text is on sale at Amazon here:
https://www.amazon.com/Mathematics-Programming-Machine-Learning-R-dp-0367507854/dp/0367507854/ref=mt_other?_encoding=UTF8&me=&qid=1623663440
I will try to add an errata page as well.
Author: William Claster
Author of
Mathematics and Programming for Machine Learning with R -from the ground up
Professor of Math and Data Science
Ritsumeikan Asia Pacific University
Japan