Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Author: Trevor Hastie
Title: The Hiring Handbook: A Toolkit for Recruitment, Assessment, and Selection Success, Author: Kasey Harboe Guentert
Title: Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python, Author: Galit Shmueli
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection, Author: Bart Baesens
Title: The Structure and Interpretation of the SMB Protocol, Author: Sunu Engineer
Title: Information Geometry, Author: Nihat Ay
Title: Recommender Systems: The Textbook, Author: Charu C. Aggarwal
Title: Cryptography Made Simple, Author: Nigel Smart
Title: Data Mining and Machine Learning: Fundamental Concepts and Algorithms, Author: Mohammed J. Zaki
Title: Personalized Machine Learning, Author: Julian McAuley
Title: Applied Mathematics for Database Professionals, Author: Lex deHaan
Title: Data Science and Predictive Analytics: Biomedical and Health Applications using R, Author: Ivo D. Dinov
Title: Discovering Knowledge in Data: An Introduction to Data Mining, Author: Daniel T. Larose
Title: Sequence Data Mining, Author: Guozhu Dong
Title: Continuous Media Databases, Author: Aidong Zhang
Title: Spend Analysis: The Window into Strategic Sourcing, Author: Kirit Pandit
Title: Optimization for Data Analysis, Author: Stephen J. Wright
Title: Transaction Processing: Management of the Logical Database and its Underlying Physical Structure, Author: Seppo Sippu
Title: Blockchain Technology in the Automotive Industry, Author: Ghulam Yasin

Pagination Links