Data Science Foundations

Download Data Science Foundations full books in PDF, epub, and Kindle. Read online free Data Science Foundations ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!


Related Books

Foundations of Data Science
Language: en
Pages: 433
Authors: Avrim Blum
Categories: Computers
Type: BOOK - Published: 2020-01-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and a
Statistical Foundations of Data Science
Language: en
Pages: 752
Authors: Jianqing Fan
Categories: Mathematics
Type: BOOK - Published: 2020-09-21 - Publisher: CRC Press

DOWNLOAD EBOOK

Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques
Data Science Foundations Tools and Techniques
Language: en
Pages: 384
Authors: Michael Freeman
Categories: Application software
Type: BOOK - Published: 2018-11-16 - Publisher: Addison-Wesley Professional

DOWNLOAD EBOOK

The Foundational Hands-On Skills You Need to Dive into Data Science "Freeman and Ross have created the definitive resource for new and aspiring data scientists
Mathematical Foundations of Data Science Using R
Language: en
Pages: 444
Authors: Frank Emmert-Streib
Categories: Computers
Type: BOOK - Published: 2022-10-24 - Publisher: Walter de Gruyter GmbH & Co KG

DOWNLOAD EBOOK

The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time, the book intends to
Foundations of Statistics for Data Scientists
Language: en
Pages: 486
Authors: Alan Agresti
Categories: Business & Economics
Type: BOOK - Published: 2021-11-22 - Publisher: CRC Press

DOWNLOAD EBOOK

Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for st