Machine Learning for Data Science Handbook Book [PDF] Download

Download the fantastic book titled Machine Learning for Data Science Handbook written by Lior Rokach, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning for Data Science Handbook", which was released on 17 August 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Machine Learning for Data Science Handbook by Lior Rokach PDF

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. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.


Detail About Machine Learning for Data Science Handbook PDF

  • Author : Lior Rokach
  • Publisher : Springer Nature
  • Genre : Computers
  • Total Pages : 975 pages
  • ISBN : 3031246284
  • PDF File Size : 28,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Machine Learning for Data Science Handbook

Machine Learning for Data Science Handbook
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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

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The Data Science Handbook is a curated collection of 25 candid, honest and insightful interviews conducted with some of the world's top data scientists.In this book, you'll hear how the

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Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show

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