Hi, I noticed that there are a lot of books and courses on machine learning with Python, R, Matlab.
Are there any good books based on Wolfram Language?
Thx.
Despite the extensive documentation, and always growing, it is indeed something that is missing. The same thing can be said of MOOC’s.
The book by Phil Gregory is geared to data analysis, not specific on machine learning. But he provides a large section on Markov Chain Monte Carlo. He also provides a Wolfram Language notebook with worked examples. You can find these at the Resources section of this link http://www.cambridge.org/nl/academic/subjects/statistics-probability/statistics-physical-sciences-and-engineering/bayesian-logical-data-analysis-physical-sciences-comparative-approach-mathematica-support?format=PB
Soon this will be out: Introduction to Machine Learning
Title: INTRODUCTION TO MACHINE LEARNING
Author: Etienne Bernard
Paperback: $34.95
Publisher: Wolfram Media, Inc.
Publication Date: November 2021
ISBN-13: 978-1-57955-044-8 (paperback)
ISBN-13: 978-1-57955-045-5 (eBook)
Yes!
This book Alva, J. V. (2021). Beginning Mathematica and Wolfram for Data Science. Apress is indeed great. One of the best I’ve read. I try to read as much as possible now because I want to improve my skills. I wish I had more time for books like this one, but because of my studies, I don’t have a lot of free time.
Well, I am working on a book like that:
“Simplified Machine Learning Workflows” (at GitHub). It has been at “60% of completion” for 3 years. I hope to push it much further ahead before WTC 2022…
That’s great. I read Etienne’s book and I really like it alot. I even had a colleague (no Mathematica knowledge) read it and he like it also very much. Very curious about your book!