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Sparse Estimation with Math and Python

100 Exercises for Building Logic

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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 sparse estimation by considering math problems and building Python programs. This textbook is suitable for an undergraduate or graduate course consisting of about 15 lectures (90 mins each). Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning by data scientists, machine learning engineers, and researchers interested in linear regression, generalized linear lasso, group lasso, fused lasso, graphical models, matrix decomposition, and multivariate analysis.This book is one of a series of textbooks in machine learning by the same Author. Other titles are:  weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-9811614385 / 978-9811614385 / 9789811614385

Verlag: Springer Singapore

Erscheinungsdatum: 30.10.2021

Seiten: 246

Autor(en): Joe Suzuki

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