Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

Discover the transformative power of data with Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track by Yuxiao Dong. This comprehensive guide, published by Springer Nature Switzerland AG in 2021, spans an impressive 577 pages and serves as an essential resource for anyone interested in the intersection of machine learning and applied data science.

Delve into various critical topics, including recommendation systems, anomaly detection, web mining, activity recognition, and spatiotemporal data analysis. Furthermore, explore how applied data science can drive social good and contribute to computational social science. This first edition is perfect for both students and professionals seeking to enhance their understanding of data-driven methodologies and their real-world applications.

Elevate your knowledge and skills in data science with this indispensable book that bridges theory and practice.