Books for Data Science (Free) that You Must Read to Master Data Science
Get set ready to become a Data Scientist @ 2023
Bayesian Modeling and Computation in Python
“Bayesian Modeling and Computation in Python” by Osvaldo A. Martin, Ravin Kumar and Junpeng Lao has been published by CRC Press early 2022. The book gives you with over 380 pages of magnificent content, along with ample appendices and bibliography.
Resources:
Deep Learning on Graphs
Written by Yao Ma and Jiliang Tang with Chinese version by Yiqi Wang, Wei Jin, Yao Ma and Jiliang Tang and published by Cambridge University Press in September 2021, the book is a total guide to using deep learning techniques on graphs.
Resources:
- Book webpage
- Free pre-print (English) || Free pre-print (Chinese)
- Kindle e-book or hard copy from Amazon
Probabilistic Machine Learning: An Introduction
The book is over 750 pages long (excluding appendices and references), contains rich mathematical explanations, helpful graphs and plots and very good exercises.
Resources:
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