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.
