Barua Tarkeshwar et al. Machine Learning with Python

Tarkeshwar Barua, Kamal Kant Hiran, Ritesh Kumar Jain, Ruchi Doshi. — Walter de Gruyter, 2024. — 487 p. — (De Gruyter STEM)/ — ISBN 13:
9783110697162.This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.Contents:
Introduction to Machine Learning
Basics of Python Programming
Data Preprocessing in Python
Foundations of Machine Learning
Classic Machine Learning Algorithms
Advanced Machine Learning Techniques
Neural Networks and Deep Learning
Specialized Applications and Case Studies