Statistics with Julia

Statistics with Julia

Author: Yoni Nazarathy

Publisher: Springer Nature

ISBN: 9783030709013

Category: Computers

Page: 527

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This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior statistical knowledge and only assumes a basic understanding of programming and mathematical notation. It is accessible to practitioners and researchers in data science, machine learning, bio-statistics, finance, or engineering who may wish to solidify their knowledge of probability and statistics. The book progresses through ten independent chapters starting with an introduction of Julia, and moving through basic probability, distributions, statistical inference, regression analysis, machine learning methods, and the use of Monte Carlo simulation for dynamic stochastic models. Ultimately this text introduces the Julia programming language as a computational tool, uniquely addressing end-users rather than developers. It makes heavy use of over 200 code examples to illustrate dozens of key statistical concepts. The Julia code, written in a simple format with parameters that can be easily modified, is also available for download from the book’s associated GitHub repository online. See what co-creators of the Julia language are saying about the book: Professor Alan Edelman, MIT: With “Statistics with Julia”, Yoni and Hayden have written an easy to read, well organized, modern introduction to statistics. The code may be looked at, and understood on the static pages of a book, or even better, when running live on a computer. Everything you need is here in one nicely written self-contained reference. Dr. Viral Shah, CEO of Julia Computing: Yoni and Hayden provide a modern way to learn statistics with the Julia programming language. This book has been perfected through iteration over several semesters in the classroom. It prepares the reader with two complementary skills - statistical reasoning with hands on experience and working with large datasets through training in Julia.
Statistics with Julia
Language: en
Pages: 527
Authors: Yoni Nazarathy, Hayden Klok
Categories: Computers
Type: BOOK - Published: 2021-09-04 - Publisher: Springer Nature

This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text does not require any prior statistical knowledge and only assumes a basic understanding of
Data Science with Julia
Language: en
Pages: 220
Authors: Paul D. McNicholas, Peter Tait
Categories: Business & Economics
Type: BOOK - Published: 2019-01-02 - Publisher: CRC Press

"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Université Côte d’Azur, Nice, France Julia, an open-source programming language, was created to be as easy to use
Julia Cookbook
Language: en
Pages: 172
Authors: Jalem Raj Rohit
Categories: Computers
Type: BOOK - Published: 2016-09-30 - Publisher: Packt Publishing Ltd

Over 40 recipes to get you up and running with programming using Julia About This Book Follow a practical approach to learn Julia programming the easy way Get an extensive coverage of Julia's packages for statistical analysis This recipe-based approach will help you get familiar with the key concepts in
Julia for Data Science
Language: en
Pages: 366
Authors: Zacharias Voulgaris, PhD
Categories: Computers
Type: BOOK - Published: 2016-09-01 - Publisher: Technics Publications

Master how to use the Julia language to solve business critical data science challenges. After covering the importance of Julia to the data science community and several essential data science principles, we start with the basics including how to install Julia and its powerful libraries. Many examples are provided as
Hands-On Design Patterns and Best Practices with Julia
Language: en
Pages: 532
Authors: Tom Kwong
Categories: Computers
Type: BOOK - Published: 2020-01-17 - Publisher: Packt Publishing Ltd

Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide Key FeaturesExplore useful design patterns along with object-oriented programming in Julia 1.0Implement macros and metaprogramming techniques to make your code faster, concise, and efficientDevelop the skills necessary to implement design patterns for