Introduction to Machine Learning Illustrated Principles

Key features

• Provides straightforward explanations of key methods and principles without sacrificing mathematical precision or notation
• Includes a chapter on Data Representations that introduces common data encoding methods, particularly for text and images
• End-of-chapter mathematical exercises and additional coding projects reinforce the focus on concept mastery and real-world application, while extensive illustrations demonstrate concepts and practical aspects of machine learning
• Step-by-step explanations allow students to grasp complicated mathematical calculations and translate theory to coding