awesome/machine-learning
1
0
Fork 0
mirror of https://github.com/josephmisiti/awesome-machine-learning.git synced 2024-11-13 11:24:23 -05:00
Code Activity

Added Machine Learning Algorithms in Depth

Browse source 
Hi,

Stjepan from Manning here again. We have brand new ML books on ML algorithms that I think might be a good match for your list. Thank you for considering it.

Best,
This commit is contained in:
Stjepan Jureković 2023-01-03 14:36:41 +01:00 committed by GitHub
parent afc1b60894
commit 26b8a68328
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
1 changed files with 1 additions and 0 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

1
books.md
View file

@ -65,6 +65,7 @@ The following is a list of free and/or open source books on machine learning, st
- [Managing Machine Learning Projects: From design to deployment](https://www.manning.com/books/managing-machine-learning-projects) - Simon Thompson
- [Causal Machine Learning](https://www.manning.com/books/causal-machine-learning) - Robert Ness - Practical introduction to building AI models that can reason about causality.
- [Bayesian Optimization in Action](https://www.manning.com/books/bayesian-optimization-in-action) - Quan Nguyen - Book about building Bayesian optimization systems from the ground up.
- - [Machine Learning Algorithms in Depth](https://www.manning.com/books/machine-learning-algorithms-in-depth)) - Vadim Smolyakov - Book about practical implementations of dozens of ML algorithms.
## Deep Learning