awesome
/
machine-learning
mirror of https://github.com/josephmisiti/awesome-machine-learning.git
1
0
Fork 0
Code

Merge pull request #829 from stjepanjurekovic/patch-7 

Added Feature Engineering Bookcamp
This commit is contained in:
Joseph Misiti 2021-11-23 09:20:12 -05:00 committed by GitHub
parent 344e5d2f1d 3fa2c1367c
commit 3a38648736
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

@ -60,6 +60,7 @@ The following is a list of free and/or open source books on machine learning, st
- [Automated Machine Learning in Action](https://www.manning.com/books/automated-machine-learning-in-action) - Qingquan Song, Haifeng Jin, and Xia Hu - Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and Keras Tuner.
- [Distributed Machine Learning Patterns](https://www.manning.com/books/distributed-machine-learning-patterns) - Yuan Tang - Practical patterns for scaling machine learning from your laptop to a distributed cluster.
- [Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI](https://www.manning.com/books/human-in-the-loop-machine-learning) - Robert (Munro) Monarch - a practical guide to optimizing the entire machine learning process, including techniques for annotation, active learning, transfer learning, and using machine learning to optimize every step of the process.
- [Feature Engineering Bookcamp](https://www.manning.com/books/feature-engineering-bookcamp) - Maurucio Aniche - This book’s practical case-studies reveal feature engineering techniques that upgrade your data wrangling—and your ML results.
## Deep Learning