Name: Statistical Learning With Math and Python: 100 Exercises for Building Logic (en Inglés)
Price: 47.40 USD
Availability: InStock
Author: Joe Suzuki
ISBN: 9789811578762

portada Statistical Learning With Math and Python: 100 Exercises for Building Logic (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Joe Suzuki

Año

2021

Idioma

Inglés

N° páginas

268

Encuadernación

Tapa Blanda

ISBN13

9789811578762

N° edición

Categorías

Inteligencia artificial

Statistical Learning With Math and Python: 100 Exercises for Building Logic (en Inglés)

Joe Suzuki (Autor) · Springer · Tapa Blanda

Libro Nuevo

$ 47.40

Envío normal

Origen: España (Costos de importación incluídos en el precio)

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Reseña del libro "Statistical Learning With Math and Python: 100 Exercises for Building Logic (en Inglés)"

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.