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Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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Statistics with Julia - Fundamentals for Data Science, Machine Learning and Artificial Intelligence (Paperback, 1st ed. 2021)
Loot Price: R5,527
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Statistics with Julia - Fundamentals for Data Science, Machine Learning and Artificial Intelligence (Paperback, 1st ed. 2021)
Series: Springer Series in the Data Sciences
Expected to ship within 10 - 15 working days
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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.
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