Statistics with Julia
Download free course Statistics with Julia, pdf file on 413 pages by Hayden Klok, Yoni Nazarathy.
Currently many of Julia's users are hard-core developers that contribute to the language's standard libraries, and to the extensive package eco-system that surrounds it. Therefore, much of the Julia material available at present is aimed at other developers rather than end users. This is where our book comes in, as it has been written with the end-user in mind.
The code examples have been deliberately written in a simple format, sometimes at the expense of efficiency and generality, but with the advantage of being easily readable. Each of the code examples aims to convey a specific statistical point, while covering Julia programming concepts in parallel.
In a way, the code examples are reminiscent of examples that a lecturer may use in a lecture to illustrate concepts. The content of the book is written in a manner that does not assume any prior statistical knowledge, and in fact only assumes some basic programming experience and a basic understanding of mathematical notation.
Table of contents
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Introducing Julia
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Basic Probability
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Probability Distributions
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Processing and Summarizing Data
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Statistical Inference Ideas
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Confidence Intervals
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Hypothesis Testing
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Linear Regression
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Machine Learning Basics
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Simulation of Dynamic Models
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How-to in Julia
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Additional Language Features
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Additional Packages
| Pages : | 413 |
| Size : | 13.3 MB |
| File type : | |
| Downloads: | 134 |
| Created: | 2022-02-03 |
| License: | Open Publication License |
| Author(s): | Hayden Klok, Yoni Nazarathy |
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