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{ "item_title" : "Deep Dive Into Machine Learning", "item_author" : [" Chitransh Dixit", "Kanchan Lata Dixit", "Chandra Kumar Dixit "], "item_description" : "The main purpose of Deep Dive Into Machine Learning is to ensure that you understand what machine learning can and cannot do for you right now, as well as what it may be able to do for you in the future. Despite the fact that it contains numerous code examples, you do not need to be a software engineer to use this textbook. Because this book addresses machine learning through arithmetic, you might come from any field with a strong emphasis on arithmetic. Rather than dealing with notions, you see the actual results of employing specific approaches to deal with huge amounts of data in exact ways in order to achieve a specific, practical conclusion.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/6/20/784/242/6207842421_b.jpg", "price_data" : { "retail_price" : "89.00", "online_price" : "89.00", "our_price" : "89.00", "club_price" : "89.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Deep Dive Into Machine Learning|Chitransh Dixit

Deep Dive Into Machine Learning

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Overview

The main purpose of Deep Dive Into Machine Learning is to ensure that you understand what machine learning can and cannot do for you right now, as well as what it may be able to do for you in the future. Despite the fact that it contains numerous code examples, you do not need to be a software engineer to use this textbook. Because this book addresses machine learning through arithmetic, you might come from any field with a strong emphasis on arithmetic. Rather than dealing with notions, you see the actual results of employing specific approaches to deal with huge amounts of data in exact ways in order to achieve a specific, practical conclusion.

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Details

  • ISBN-13: 9786207842421
  • ISBN-10: 6207842421
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: September 2024
  • Dimensions: 9 x 6 x 0.42 inches
  • Shipping Weight: 0.61 pounds
  • Page Count: 184

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