{ "item_title" : "Machine Learning For Physicists", "item_author" : [" Sadegh Raeisi", "Sedighe Raeisi "], "item_description" : "This book presents ML concepts with a hands-on approach for physicists. The goal is to both educate and enable a larger part of the community with these skills. This will lead to wider applications of modern ML techniques in physics. Accessible to physical science students, the book assumes a familiarity with statistical physics but little in the way of specialised computer science background. All chapters start with a simple introduction to the basics and the foundations, followed by some examples and then proceeds to provide concrete examples with associated codes from a GitHub repository. Many of the code examples provided can be used as is or with suitable modification by the students for their own applications.Key Features: Practical Hands-on approach: enables the reader to use machine learning Includes code and accompanying online resources Practical examples for modern research and uses case studies Written in a language accessible by physics students Complete one-semester course ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/75/034/955/0750349557_b.jpg", "price_data" : { "retail_price" : "190.00", "online_price" : "190.00", "our_price" : "190.00", "club_price" : "190.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details