Applied Bayesian Machine Learning CS7290 51742

The shortest path to building software for Bayesian reasoning and probabilistic machine learning.

This is a practical Bayesian modeling and probabilistic machine learning workshop designed to familiarize you with a proven model-building workflow. We created this workshop in collaboration with consulting clients who lead data science organizations. We sought to solve two key problems:

  1. How can we turn our experts' domain knowledge into computable artifacts that we own?
  2. How can we go beyond simple importing of libraries to building models and model artifacts that grow in value over time?

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Your Instructor

Robert Osazuwa Ness
Robert Osazuwa Ness

Robert didn't start in machine learning. He started his career by becoming fluent in Mandarin Chinese and moving to Tibet to do developmental economics fieldwork. He later obtained a graduate degree from Johns Hopkins School of Advanced International Studies.
After switching to the tech industry, Robert's interests shifted to modeling data. He attained his Ph.D. in mathematical statistics from Purdue University, and then he worked as a research engineer in various AI startups. He has published in journals and venues across these spaces, including RECOMB and NeurIPS, on topics including causal inference, probabilistic modeling, sequential decision processes, and dynamic models of complex systems. In addition to startup work, he is a machine learning professor at Northeastern University.

Frequently Asked Questions

When does the course start and finish?
The next cohort begins in February 2021. We have a pace set by weekly retrospective meetings. However, you are able to self-pace.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.
How much does it cost?
The standard price is 1199 USD. This includes full access to instructors as well as grading of assignments and a capstone project during the three month period of your cohort, and lifetime access to the materials after your cohort ends.
Are there student or group discounts?
Yes! Please email us at [email protected] for more information.

This course is closed for enrollment.