MPG.eBooks - Table of Contents: Statistics with Julia

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Statistics with Julia Fundamentals for Data Science, Machine Learning and Artificial Intelligence

It prepares the reader with two complementary skills - statistical reasoning with hands on experience and working with large datasets through training in Julia

Bibliographic Details
Main Authors:	Nazarathy, Yoni, Klok, Hayden (Author)
Format:	eBook
Language:	English
Published:	Cham Springer International Publishing 2021, 2021
Edition:	1st ed. 2021
Series:	Springer Series in the Data Sciences
Subjects:	Mathematical Statistics Statistics Computer Software Data Structures (computer Science) Probability And Statistics In Computer Science Statistics For Business, Management, Economics, Finance, Insurance Data Structures Mathematical Software
Online Access:	https://doi.org/10.1007/978-3-030-70901-3?nosfx=y
Collection:	Springer eBooks 2005- - Collection details see MPG.ReNa

Table of Contents:

Introducing Julia
Basic Probability
Probability Distributions
Processing and Summarizing Data
Statistical Inference Concepts
Confidence Intervals
Hypothesis Testing
Linear Regression and Extensions
Machine Learning Basics
Simulation of Dynamic Models
Appendix A: How-to in Julia
Appendix B: Additional Julia Features
Appendix C: Additional Packages