Python Machine Learning By Example - Second Edition

Python Machine Learning By Example by Yuxi (Hayden) Liu is an accessible guide to understanding and applying machine learning using Python. Through real-world case studies and detailed walkthroughs, readers will learn powerful concepts and techniques to extract insights from data, build predictive models, and implement solutions effectively.

What this Book will help me do

• Learn about key machine learning concepts and how to apply them to real-world problems.
• Gain proficiency in Python libraries like TensorFlow, scikit-learn, and Keras for developing ML models.
• Understand techniques for working with text and natural language processing using effective libraries.
• Build ML models step by step, then evaluate, optimize, and deploy them effectively for practical use.
• Explore advanced topics like large-scale data handling and deep learning for complex implementations.

Author(s)

Yuxi (Hayden) Liu is a seasoned data scientist and machine learning professional who specializes in building intelligent systems and solving challenging problems. With expertise in data analysis and high-performance machine learning solutions, Liu brings his in-depth knowledge and experience into this guide. His clear teaching style helps readers of all levels understand machine learning effectively.

Who is it for?

This book is perfect for aspiring data scientists and engineers interested in machine learning application. Readers should have basic Python coding knowledge, and familiarity with statistical concepts would be beneficial. Ideal for professionals eager to apply concepts to real-world challenges or those exploring ML tools and algorithms for practical implementation.