Practical Machine Learning

Discover the essential guide to machine learning with Practical Machine Learning by Ally S. Nyamawe. Published by Taylor & Francis Ltd in 2025, this paperback edition spans 214 pages, making it an invaluable resource for both students and instructors in the fields of machine learning and data science. This book stands out for its beginner-friendly approach, providing practical insights and real-world applications that enhance the learning experience. Additionally, it thoughtfully incorporates ethical discussions, ensuring that readers are not only equipped with technical knowledge but also with a strong understanding of the ethical implications of their work. Whether you are new to the subject or seeking to deepen your understanding, Practical Machine Learning is the perfect starting point for your journey into the world of data science.