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WELCOME TO INTUITIVE BAYES

Intuitive Bayes is everything you need to learn Bayesian Statistics. It's a
community, a series of courses, and a collection of many other resources. All
designed to get you from Bayes curious to practitioner fast. 
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COURSE CATALOG

All courses use a code first approach to build and understand the fundamentals.
You'll be using tools such as PyMC and ArviZ with a hands-on learning style.
These are the same tools professionals use everyday.


INTRODUCTORY COURSE







Bayes Theorem is a widely applicable idea that is even easier to use with modern
code libraries that can be deployed in any organization. In this course, we will
learn Bayesian fundamentals through hands-on code and practical examples.
Learn more


ADVANCED REGRESSION







Bayesian regression can solve a variety of real world problems. In this course,
we'll use modern packages such as PyMC and Bambi. We'll answer questions about
product pricing, election estimation, and more.
Learn more


GAUSSIAN PROCESSES







Gaussian processes are an incredible tool for modeling and optimization, but
challenging mathematics and difficulty scaling to larger datasets prevent their
wider adoption in practice. In this course, we'll build an understanding of how
to use Gaussian processes effectively in real-world scenarios and which
approaches work best when faced with big data sets.
Learn more


PRACTICAL MCMC







Markov Chain Monte Carlo is one of the most utilized tools for modern Bayesian
practitioners. It's an algorithm which enables Inference in many settings and
models. In this course, we'll provide an in-depth understanding of the algorithm
that makes it all possible.
Learn more


MEET YOUR INSTRUCTORS

Professionals and OSS Core Contributors


ALEX ANDORRA


TOMAS CAPRETTO


BILL ENGELS


RAVIN KUMAR


OSVALDO MARTIN


THOMAS WIECKI


TESTIMONIALS

What others have to say about Intuitive Bayes

I recommend Intuitive Bayes as a great place to start or continue your journey
to knowing how to apply Bayesian statistics to real world applications. The
course will walk you through actually writing code to inform decisions in a
step-by-step way.


WILLIAM COX STAFF, DATA SCIENTIST AT GRUBHUB




The Intuitive Bayes Course is a labor of love. Students are familiarized with
key Bayesian concepts through a series of concise video lectures. The material
is clearly explained and closely integrated with Python code through PyMC. This
is a hands-on course that showcases the ease and flexibility with which Bayesian
models can help address real-world questions.


EJ WAGENMAKERS, PROFESSOR AT THE UNIVERSITY OF AMSTERDAM



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