Machine Learning and Knowledge Discovery in Databases

Discover the cutting-edge insights of "Machine Learning and Knowledge Discovery in Databases" by Tijl De Bie, published by Springer Nature Switzerland AG in 2021. This comprehensive 1st edition spans an impressive 764 pages, making it an essential resource for anyone interested in the intersection of machine learning and data science.

This book delves into various aspects of applied data science, including recommendation systems, anomaly detection, web mining, activity recognition, and spatiotemporal data analysis. Additionally, it explores the role of data science in social good and computational social science, highlighting its impact on society.

Whether you're a student, researcher, or professional in the field, this book provides valuable knowledge and practical applications that can enhance your understanding of machine learning techniques and their real-world implications. Don't miss out on this pivotal addition to your library!