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Acknowledgements
Mayank Joshi@dermayank8 Best and FREE Ebooks For Beginners to learn #MachineLearning and Data Science and find a Job
A Thread 🧵04:21 AM - 23 Jun 2021Mayank Joshi@dermayank1) The Art of Data Science
Focusing on analysis and distillation of data, the book by Roger D Peng and Elizabeth Matsui offers a bird’s eye view for practitioners as well as managers in data science.
Link - leanpub.com/artofdatascien…04:21 AM - 23 Jun 2021Mayank Joshi@dermayank2) Understanding Machine Learning: From Theory to Algorithms
This book by Shai Shalev-Shwartz and Shai Ben-David, introduces machine learning and the algorithmic paradigms it offers, in a principled manner.
Link - cs.huji.ac.il/~shais/Underst…04:21 AM - 23 Jun 2021Mayank Joshi@dermayank3) Think Stats — Probability and Statistics for Programmers
This book written by Allen B Downey and published by O’Reilly Media, is an introduction to Probability and Statistics for Python programmers.
Link - greenteapress.com/thinkstats/04:21 AM - 23 Jun 2021Mayank Joshi@dermayank4) The Data Science Handbook
This book is a compilation of interviews with 25 data scientists, where they share their insights and advice. The personal stories of noted personalities guide the reader to figuring out their own plan of action.
Link - thedatasciencehandbook.com04:21 AM - 23 Jun 2021Mayank Joshi@dermayank5) Machine Learning Yearning
Author Andrew Ng states that the book’s objective is to “teach one how to make the numerous decisions needed with organising a machine learning project.”
Link - mlyearning.org04:21 AM - 23 Jun 2021Mayank Joshi@dermayank6) Mining Of Massive Data
The book is based on a Stanford Computer Science course and is designed for Data Analysis enthusiasts, who may not hold a formal qualification in the subject.
mmds.org04:21 AM - 23 Jun 2021
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