Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

Discover the transformative power of data with Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track by Yuxiao Dong. Published by Springer Nature Switzerland AG in 2021, this comprehensive paperback spans an impressive 580 pages. This first edition serves as an essential resource for professionals and students alike, delving into advanced topics in applied data science.

The book is structured into insightful sections that cover various applications of data science, including recommendation systems, anomaly detection, web mining, activity recognition, and spatiotemporal data analysis. It also explores the intersection of applied data science with social good and computational social science, making it a valuable addition to any data enthusiast's library.

Whether you are looking to enhance your understanding of machine learning or seeking innovative solutions for real-world problems, this book is a must-read for anyone interested in the evolving landscape of data science.