Dive into the world of Applied Machine Learning with this comprehensive 2nd Edition from McGraw Hill. Perfect for aspiring data scientists and professionals, this book provides a clear, step-by-step guide to mastering machine learning techniques. Explore theoretical foundations and gain practical skills to tackle real-world challenges. Learn to conceptualize problems, represent data effectively, select and optimize algorithms, and interpret results. This edition features new sections on crucial topics like log loss, imbalanced data solutions, Ridge and LASSO regression, and multiclass logistic regression. Enhance your hands-on experience with new case studies and datasets, making it an ideal resource for both beginners and experienced practitioners seeking to boost their machine learning expertise.