Description: About this Item The item is a book Paperback The Author Name is Joe Suzuki The Title is Statistical Learning with Math and Python : 100 Exercises for Building Logic Condition New Other Comments Pages Count - 272. Binding type - Perfect. Content Language - English Category - COMPUTERS / Artificial Intelligence / General COMPUTERS / Mathematical & Statistical Software Product Description - The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building Python programs. As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read further to the following main chapters. Those succeeding chapters present essential topics in statistical learning: linear regression, classification, resampling, information criteria, regularization, nonlinear regression, decision trees, support vector machines, and unsupervised learning. Each chapter mathematically formulates and solves machine learning problems and builds the programs. The body of a chapter is accompanied by proofs and programs in an appendix, with exercises at the end of the chapter. Because the book is carefully organized to provide the solutions to the exercises in each chapter, readers can solve the total of 100 exercises by simply following the contents of each chapter. This textbook is suitable for an undergraduate or graduate course consisting of about 12 lectures. Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details  are provided automatically  from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.   Gift IdeasThis is a  great Christmas gift idea.   Hours of ServiceWe have many warehouses,  some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 555z iHaveit SKU ID 162374186
Price: 36.13 GBP
Location: GB
End Time: 2024-12-30T09:39:19.000Z
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Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / Artificial Intelligence / General
Brand: Springer Verlag, Singapore
Weight: 0.39
Style: NA
Title: Statistical Learning with Math and Python 100 Exercises for Bui
Release Title: Statistical Learning with Math and Python 100 Exercises for Bui
Record Grading: New
Sleeve Grading: New
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Film/TV Title: Statistical Learning with Math and Python 100 Exercises for Bu
Colour: NA
Material: NA
Department: NA
Binding Type: Perfect
Item Length: 233.93
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Metal Purity: NA
Metal: NA
Connectivity: NA
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Item Height: 235 mm
Item Width: 155 mm
Author: Joe Suzuki
Publication Name: Statistical Learning with Math and Python: 100 Exercises for Building Logic
Format: Paperback
Language: English
Publisher: Springer Verlag, Singapore
Subject: Computer Science, Mathematics
Publication Year: 2021
Type: Textbook
Item Weight: 415 g
Number of Pages: 256 Pages