Probability for Data Scientists

Probability for Data Scientists

2019 | ISBN: 1516532694 | English | 362 Pages | PDF | 10 MB

Probability for Data Scientists provides students with a mathematically sound yet accessible introduction to the theory and applications of probability. Students learn how probability theory supports statistics, data science, and machine learning theory by enabling scientists to move beyond mere descriptions of data to inferences about specific populations.

The book is divided into two parts. Part I introduces readers to fundamental definitions, theorems, and methods within the context of discrete sample spaces. It addresses the origin of the mathematical study of probability, main concepts in modern probability theory, univariate and bivariate discrete probability models, and the multinomial distribution.

Part II builds upon the knowledge imparted in Part I to present students with corresponding ideas in the context of continuous sample spaces. It examines models for single and multiple continuous random variables and the application of probability theorems in statistics.

Probability for Data Scientists effectively introduces students to key concepts in probability and demonstrates how a small set of methodologies can be applied to a plethora of contextually unrelated problems. It is well suited for courses in statistics, data science, machine learning theory, or any course with an emphasis in probability. Numerous exercises, some of which provide R software code to conduct experiments that illustrate the laws of probability, are provided in each chapter.

Juana Sanchez is a senior lecturer in the Department of Statistics at the University of California, Los Angeles, and DSS editor of the Journal of Statistics Education. She earned her Ph.D. from Washington University in St. Louis, Missouri, and her research interests include statistics indicators, multivariate statistics, STEM education, and time series.

Download:

http://longfiles.com/xbxlskr7jfed/Probability_for_Data_Scientists.pdf.html

[Fast Download] Probability for Data Scientists


Related eBooks:
SQL Server 2017 Developer's Guide
Machine Learning with R, 3rd Edition
Databases in Networked Information Systems
R Companion to Elementary Applied Statistics
Applied Machine Learning for Smart Data Analysis
SQL: The Ultimate Beginner's Guide to Learn SQL Programming Step by Step
SQL Server Performance Ratgeber
Context-aware Computing
Advanced Computing and Systems for Security: Volume Three
Transparent Data Mining for Big and Small Data
Big Data Glossary
Troubleshooting Citrix XenDesktop
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.