Principles and Theory for Data Mining and Machine Learning Softcover
$34.99
The \"Principles and Theory for Data Mining and Machine Learning\" textbook, published in 2009 by Springer NY, is part of the Springer Series in Statistics Ser. It is written by authors Ernest Fokoue, Bertrand Clarke, and Hao Helen Zhang, and is designed for students and professionals looking to deepen their understanding of data mining and machine learning techniques. This softcover book presents principles and theory in English language, making it a valuable resource for those interested in exploring the field of data analytics and artificial intelligence.
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.
Principles and Practice of Information Theory by R Blahut 2nd ed 1991 5th prn vg$48.60
Information Theory, Inference and Learning Algorithms, MacKay, David J. C., Acce$56.20
Principles of Data Science: Mathematical techniques and theory to succeed in dat$57.43
Introduction to Data Science: Data Analysis and Prediction Algorithms with R...$145.00
Principles and Theory for Data Mining and Machine Learning Softcover$39.95
Principles and Theory for Data Mining and Machine Learning Softcover$34.99
Principles and Theory for Data Mining and Machine Learning Softcover$75.00
Handbook of Mobile Data Privacy - Computer Principles and Theory 2018, Hardcover$21.20
www.userbars.org
