menu
{ "item_title" : "Machine Learning", "item_author" : [" Sergio Ramírez Gallardo "], "item_description" : "Machine Learning is a comprehensive guide that explores the fundamentals and essential techniques of machine learning and search algorithms. From basic principles to advanced strategies, this book addresses critical topics ranging from heuristic search algorithms to Bayesian models, offering a clear and accessible framework for those looking to delve into the capabilities and applications of artificial intelligence. Throughout its chapters, readers will find detailed explanations and practical examples that illustrate how to apply each technique in real-world situations. In this sense, the work not only focuses on algorithms and methods but also highlights the importance of feature engineering, optimization, and model evaluation, providing valuable tools to tackle contemporary challenges in the industry.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/831/537/9798315371489_b.jpg", "price_data" : { "retail_price" : "30.00", "online_price" : "30.00", "our_price" : "30.00", "club_price" : "30.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning|Sergio Ramírez Gallardo

Machine Learning : AI Foundations

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

Overview

"Machine Learning" is a comprehensive guide that explores the fundamentals and essential techniques of machine learning and search algorithms. From basic principles to advanced strategies, this book addresses critical topics ranging from heuristic search algorithms to Bayesian models, offering a clear and accessible framework for those looking to delve into the capabilities and applications of artificial intelligence.

Throughout its chapters, readers will find detailed explanations and practical examples that illustrate how to apply each technique in real-world situations. In this sense, the work not only focuses on algorithms and methods but also highlights the importance of feature engineering, optimization, and model evaluation, providing valuable tools to tackle contemporary challenges in the industry.

This item is Non-Returnable

Details

  • ISBN-13: 9798315371489
  • ISBN-10: 9798315371489
  • Publisher: Independently Published
  • Publish Date: March 2025
  • Dimensions: 9 x 6 x 0.42 inches
  • Shipping Weight: 0.6 pounds
  • Page Count: 198

Related Categories

You May Also Like...

    1

BAM Customer Reviews