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.
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!
Yes!
Simple and enough complete book on ML, including Neural Networks
Alva, J. V. (2021). Beginning Mathematica and Wolfram for Data Science. Apress.
Soon this will be out: https://www.wolfram-media.com/products/introduction-to-machine-learning.html
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)
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
Despite the extensive documentation, and always growing, it is indeed something that is missing. The same thing can be said of MOOC's.
