Probability and Statistics for Machine Learning by Charu C Aggarwal

Probability and Statistics for Machine Learning by Charu C Aggarwal

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Probability and Statistics for Machine Learning by Charu C Aggarwal

This book covers probability and statistics from the machine learning perspective. From probability to machine learning: Many machine learning applications are addressed using probabilistic models, whose parameters are then learned in a data-driven manner.
Charu C. Aggarwal is a Distinguished Research Staff Member (DRSM) at the IBM T. J. Watson Research Center in Yorktown Heights, New York. He completed his undergraduate degree in Computer Science from the Indian Institute of Technology at Kanpur in 1993 and his Ph.D. in Operations Research from the Massachusetts Institute of Technology in 1996. He has published more than 400 papers in refereed conferences and journals, and has applied for or been granted more than 80 patents. He is author or editor of 20 books, including textbooks on linear algebra, machine learning, neural networks, and outlier analysis. Because of the commercial value of his patents, he has thrice been designated a Master Inventor at IBM. He has received several awards, including the EDBT Test-of-Time Award (2014), the ACM SIGKDD Innovation Award (2019), the IEEE ICDM Research Contributions Award (2015), and the IIT Kanpur Distinguished Alumnus Award (2023).He is also a recipient of the W. Wallace McDowell Award, the highest award given solely by the IEEE Computer Society across the field of computer science. He has served as an editor-in-chief of ACM Books and is currently serving as an editor-in-chief of the ACM Transactions on Knowledge Discovery from Data. He is a fellow of the SIAM, ACM, and the IEEE, for“contributions to knowledge discovery and data mining algorithms.”
SKU Unavailable
ISBN 13 9783031532849
ISBN 10 3031532848
Title Probability and Statistics for Machine Learning
Author Charu C Aggarwal
Condition Unavailable
Binding Type Paperback
Publisher Springer International Publishing AG
Year published 2025-05-16
Number of pages 522
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.