Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence
Series: Springer Series in the Data Sciences;
- Publisher's listprice EUR 192.59
-
81 696 Ft (77 806 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 8% (cc. 6 536 Ft off)
- Discounted price 75 161 Ft (71 582 Ft + 5% VAT)
81 696 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1st ed. 2021
- Publisher Springer
- Date of Publication 4 September 2021
- Number of Volumes 1 pieces, Book
- ISBN 9783030709006
- Binding Hardback
- No. of pages527 pages
- Size 279x210 mm
- Weight 1554 g
- Language English
- Illustrations 18 Illustrations, black & white; 130 Illustrations, color 293
Categories
Probability and mathematical statistics
Mathematical Theory of computing
Additional devices
Further readings in mathematics
Probability and mathematical statistics (charity campaign)
Mathematical Theory of computing (charity campaign)
Additional devices (charity campaign)
Further readings in mathematics (charity campaign)
Short description:
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.
Long description:
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.
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.
More
Recently viewed
Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence
Discounted price for customers subscribed to our weekly newsletter.
Subcribe now and receive a favourable price.
Subscribe
Subcribe now and receive a favourable price.
Subscribe
81 696 HUF
