Added Causal Machine Learning

Hi,

Stjepan from Manning here again. This time I'm back with Causal Machine Learning, a book by Rober Ness. I hope it makes a good match for your list. Thank you for considering it.

Best,
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@ -63,6 +63,7 @@ The following is a list of free and/or open source books on machine learning, st
- [Feature Engineering Bookcamp](https://www.manning.com/books/feature-engineering-bookcamp) - Maurucio Aniche - This books practical case-studies reveal feature engineering techniques that upgrade your data wrangling—and your ML results. - [Feature Engineering Bookcamp](https://www.manning.com/books/feature-engineering-bookcamp) - Maurucio Aniche - This books practical case-studies reveal feature engineering techniques that upgrade your data wrangling—and your ML results.
- [Metalearning: Applications to Automated Machine Learning and Data Mining](https://link.springer.com/content/pdf/10.1007/978-3-030-67024-5.pdf) - Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren - [Metalearning: Applications to Automated Machine Learning and Data Mining](https://link.springer.com/content/pdf/10.1007/978-3-030-67024-5.pdf) - Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren
- [Managing Machine Learning Projects: From design to deployment](https://www.manning.com/books/managing-machine-learning-projects) - Simon Thompson - [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.
## Deep Learning ## Deep Learning