{ "item_title" : "Numerical Machine Learning", "item_author" : [" Sayed Ameenuddin Irfan", "Christopher Teoh", "Priyanka Hriday Bhoyar "], "item_description" : "Numerical Machine Learning is a simple textbook on machine learning that bridges the gap between mathematics theory and practice. The book uses numerical examples with small datasets and simple Python codes to provide a complete walkthrough of the underlying mathematical steps of seven commonly used machine learning algorithms and techniques, including linear regression, regularization, logistic regression, decision trees, gradient boosting, Support Vector Machine, and K-means Clustering. Through a step-by-step exploration of concrete numerical examples, the students (primarily undergraduate and graduate students studying machine learning) can develop a well-rounded understanding of these algorithms, gain an in-depth knowledge of how the mathematics relates to the implementation and performance of the algorithms, and be better equipped to apply them to practical problems. Key features -Provides a concise introduction to numerical concepts in machine learning in simple terms -Explains the 7 basic mathematical techniques used in machine learning problems, with over 60 illustrations and tables -Focuses on numerical examples while using small datasets for easy learning -Includes simple Python codes -Includes bibliographic references for advanced reading The text is essential for college and university-level students who are required to understand the fundamentals of machine learning in their courses.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/516/500/9815165003_b.jpg", "price_data" : { "retail_price" : "59.00", "online_price" : "59.00", "our_price" : "59.00", "club_price" : "59.00", "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