menu
{ "item_title" : "Machine Learning Model Concepts", "item_author" : [" Rupesh Kumar Tipu "], "item_description" : "This book offers an in-depth exploration of the principles, techniques, and applications of machine learning. Starting with foundational concepts such as data preprocessing and model evaluation, the book covers both supervised learning models like regression and classification, and advanced topics like ensemble learning, neural networks, and deep learning. Practical considerations, including handling imbalanced data, feature engineering, and preventing data leakage, are thoroughly discussed to help build robust models. Designed for students, professionals, and enthusiasts alike, this guide provides valuable insights and practical knowledge to navigate and excel in the field of machine learning.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/6/20/780/569/6207805690_b.jpg", "price_data" : { "retail_price" : "48.00", "online_price" : "48.00", "our_price" : "48.00", "club_price" : "48.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning Model Concepts|Rupesh Kumar Tipu

Machine Learning Model Concepts : A Comprehensive Guide

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

Overview

This book offers an in-depth exploration of the principles, techniques, and applications of machine learning. Starting with foundational concepts such as data preprocessing and model evaluation, the book covers both supervised learning models like regression and classification, and advanced topics like ensemble learning, neural networks, and deep learning. Practical considerations, including handling imbalanced data, feature engineering, and preventing data leakage, are thoroughly discussed to help build robust models. Designed for students, professionals, and enthusiasts alike, this guide provides valuable insights and practical knowledge to navigate and excel in the field of machine learning.

This item is Non-Returnable

Details

  • ISBN-13: 9786207805693
  • ISBN-10: 6207805690
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: June 2024
  • Dimensions: 9 x 6 x 0.18 inches
  • Shipping Weight: 0.27 pounds
  • Page Count: 76

Related Categories

You May Also Like...

    1

BAM Customer Reviews