menu
{ "item_title" : "The Building Blocks of Machine Learning", "item_author" : [" Kavitha R", "Geerthik S", "Moorthy C "], "item_description" : "This book is a valuable resource for anyone interested in understanding the fundamental concepts and techniques underlying machine learning. Here are some key reasons to consider reading it: Solid Foundation: The book provides a comprehensive overview of the essential building blocks of machine learning, including statistical concepts, algorithms, and techniques. This makes it ideal for beginners or those looking to solidify their understanding.Practical Applications: While focusing on theoretical concepts, the book also demonstrates how these concepts can be applied to real-world problems. This helps readers connect theory with practice and understand the relevance of machine learning in various domains.Stay Updated: Machine learning is a rapidly evolving field. By reading this book, you can stay updated with the latest developments and trends. It can help you understand the underlying principles of new technique.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/6/20/817/207/6208172071_b.jpg", "price_data" : { "retail_price" : "66.00", "online_price" : "66.00", "our_price" : "66.00", "club_price" : "66.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Building Blocks of Machine Learning|Kavitha R

The Building Blocks of Machine Learning

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

Overview

This book is a valuable resource for anyone interested in understanding the fundamental concepts and techniques underlying machine learning. Here are some key reasons to consider reading it: Solid Foundation: The book provides a comprehensive overview of the essential building blocks of machine learning, including statistical concepts, algorithms, and techniques. This makes it ideal for beginners or those looking to solidify their understanding.Practical Applications: While focusing on theoretical concepts, the book also demonstrates how these concepts can be applied to real-world problems. This helps readers connect theory with practice and understand the relevance of machine learning in various domains.Stay Updated: Machine learning is a rapidly evolving field. By reading this book, you can stay updated with the latest developments and trends. It can help you understand the underlying principles of new technique.

This item is Non-Returnable

Details

  • ISBN-13: 9786208172077
  • ISBN-10: 6208172071
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: October 2024
  • Dimensions: 9 x 6 x 0.24 inches
  • Shipping Weight: 0.35 pounds
  • Page Count: 100

Related Categories

You May Also Like...

    1

BAM Customer Reviews