290 Things to Know About Machine Learning Models

This book is an extensive list of terms and definitions related to machine learning models. It covers a wide range of topics such as data preprocessing, feature selection, regression, classification, ensemble learning, and deep learning. Each term is defined in a concise and clear manner, making it easy for the readers to understand even if they don't have a technical background.

The book is perfect for students, data scientists, machine learning enthusiasts, and anyone who wants to expand their knowledge about machine learning models. It serves as a valuable reference that you can refer back to repeatedly. The book's organization allows for quick navigation and helps you find the terms you need in seconds. Whether you're just starting with machine learning or you're a seasoned professional, this book has something for everyone.