menu
{ "item_title" : "Machine Learning for Data Science Handbook", "item_author" : [" Lior Rokach", "Oded Maimon", "Erez Shmueli "], "item_description" : "This handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified whole. The book first surveys, then provides comprehensive yet concise algorithmic descriptions of classic methods plus recently-developed extensions and novel methods. The volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level computer science and engineering students. It is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/124/627/3031246276_b.jpg", "price_data" : { "retail_price" : "299.99", "online_price" : "299.99", "our_price" : "299.99", "club_price" : "299.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning for Data Science Handbook|Lior Rokach

Machine Learning for Data Science Handbook : Data Mining and Knowledge Discovery Handbook

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified whole. The book first surveys, then provides comprehensive yet concise algorithmic descriptions of classic methods plus recently-developed extensions and novel methods. The volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level computer science and engineering students. It is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

This item is Non-Returnable

Details

  • ISBN-13: 9783031246272
  • ISBN-10: 3031246276
  • Publisher: Springer
  • Publish Date: August 2023
  • Dimensions: 9.21 x 6.14 x 2.06 inches
  • Shipping Weight: 3.43 pounds
  • Page Count: 985

Related Categories

You May Also Like...

    1

BAM Customer Reviews