Thread by Santhosh Kumar

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Learn Machine Learning for free with these Books.

Here are 10 FREE ML Books you don't want to miss:

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1 - Machine Learning Engineering :

▪ If you’re looking for a career, particularly as a Machine Learning Engineer - this book is for you, You can go from 0 to 1 with this book.

www.mlebook.com/wiki/doku.php
2 - An Introduction to Machine Learning Interpretability :

▪ With this book you will be able to interpret and explain your AI to people very easily, does easing your job as well.

h2o.ai/content/dam/h2o/en/marketing/documents/2019/08/An-Introduction-to-Machine-Learning-Interpretab...
3 - Machine Learning for Humans :

▪ Another great book for beginners. If you’re new to Machine Learning and want to increase your knowledge of its foundations - this is a valuable ebook

everythingcomputerscience.com/books/Machine%20Learning%20for%20Humans.pdf
4 - Practical Data Analysis :

▪ In this book you can Inspect, clean, transform, and model data with the goal of discovering useful information with Data Analysis ,

www.packtpub.com/product/practical-data-analysis-using-jupyter-notebook/9781838826031
5 - Hands-On Machine Learning with R :

▪ Its specially for Folks looking for resources in R to learn Data science, Its is a great book for them.

bradleyboehmke.github.io/HOML/
6 - Understanding Machine Learning: From Theory to Algorithms :

▪ Get your ML Journey started with this Free Ebook, You can learn to build Ml Models here.

www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithm...
7 - Mathematics for Machine Learning :

▪ We can never forget how essential Mathematics is in Machine Learning,

▪ Grasp those concepts like Linear Algebra, Matrix Decomposition, and PCA quickly with this book.

mml-book.github.io/book/mml-book.pdf
8 - Feature Engineering and Selection:

▪ Feature Engineering is an important element of machine learning models.

▪ This ebook guides you on the correct practices of feature engineering and predictive modeling.

www.feat.engineering/index.html
9 - Think Stats: Probability and Statistics for Programmers :

▪ You can further apply these abilities and comprehend probability and statistics concepts if you already have an understanding of Python and can use it.

greenteapress.com/thinkstats2/thinkstats2.pdf
10 - Explore Flask :

▪ It offers a quick and effective method for deploying web-based projects,

▪ We can test and deploy ML Models using Flask

exploreflask.com/en/latest/
That's a wrap! Thank you for Reading❤

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