Description: Machine Learning for Data Science Handbook by Lior Rokach, Oded Maimon, Erez Shmueli Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. Publisher Description This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and to gain popularity. Existing methods are constantly being improved and new methods, applications and aspects are introduced. The new title of this handbook and its content reflect these changes thoroughly. Some existing chapters have been brought up to date. In addition to major revision of the existing chapters, the new edition includes totally new topics, such as: deep learning, explainable AI, human factors and social issues and advanced methods for big-data. The significant enhancement to the content reflects the growth in importance of data science. The third edition is also a timely opportunity to incorporate many other changes based on peers and students feedback.This comprehensive handbook also presents a coherent and unified repository of data science major concepts, theories, methods, trends, challenges and applications. It covers all the crucial important machine learning methods used in data science.Todays accessibility and abundance of data make data science matters of considerable importance and necessity. Given the fields recent growth, its not surprising that researchers and practitioners now have a wide range of methods and tools at their disposal. While statistics is fundamental for data science, methods originated from artificial intelligence, particularly machine learning, are also playing a significant role.This handbook aims to serve as the main reference for researchers in the fields of information technology, e-Commerce, information retrieval, data science, machine learning, data mining, databases and statistics as well as advanced level students studying computer science or electrical engineering. Practitioners working within these related fields and data scientists will also want to purchase this handbook as a reference. Author Biography Prof. Oded Maimon is the Oracle chaired Professor at Tel-Aviv University, Previously at MIT. Oded is a leader expert in the field of data mining and knowledge discovery. He published many articles on new algorithms and seven significant award winning books in the field since 2000. He has also developed and implemented successful applications in the Industry. He heads an international research group sponsored by European Union awards.Dr. Lior Rokach is a senior lecturer at the Department of Information System Engineering at Ben-Gurion University. He is a recognized expert in intelligent information systems and has held several leading positions in this field. His main areas of interest are Data Mining, Pattern Recognition, and Recommender Systems. Dr. Rokach is the author of over 70 refereed papers in leading journals, conference proceedings and book chapters. In addition he has authored six books and edited three others books. Details ISBN 3031246276 ISBN-13 9783031246272 Title Machine Learning for Data Science Handbook Author Lior Rokach, Oded Maimon, Erez Shmueli Format Hardcover Year 2023 Pages 985 Edition 3rd Publisher Springer International Publishing AG GE_Item_ID:143624927; About Us Grand Eagle Retail is the ideal place for all your shopping needs! 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Price: 307.58 USD
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End Time: 2024-12-03T09:41:11.000Z
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ISBN-13: 9783031246272
Book Title: Machine Learning for Data Science Handbook
Number of Pages: VII, 985 Pages
Publication Name: Machine Learning for Data Science Handbook : Data Mining and Knowledge Discovery Handbook
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2023
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, General, Databases / Data Mining
Type: Textbook
Item Weight: 58.3 Oz
Subject Area: Mathematics, Computers
Author: Oded Maimom
Item Length: 9.3 in
Item Width: 6.1 in
Format: Hardcover