Introduction to Supervised Machine Learning
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Introduction to Supervised Machine Learning

Regression and Classification

About the Book

The book provides a comprehensive and easy-to-follow introduction to the fundamental concepts of machine learning methods. It is divided into four parts. The first chapter provides an overview of the basic questions of machine learning and introduces the Python development environment. The second chapter covers various regression methods and the third chapter discusses different classification methods. The last chapter provides recommendations for continuing the journey of learning machine learning.

About the Author

myothida
myothida

Dr. Myo is passionate about empowering the youth, teaching, and working on research that leads to impact. She currently teaches in Chiang Mai University‘s Computer Engineering Department, co-founded a company that provides data analysis services, and spent a few years as a freelance consultant in educational reform projects. In her earlier career, she worked as a research engineer & scientist at A*STAR and completed a Ph.D. in Computer Vision at Kingston University. Originally from Myanmar, she studied in Singapore and London, worked in Singapore, Myanmar, and Bhutan and is now based in Thailand. She loves books, cycling, and traveling.

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