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Machine Learning - Online Course

A 4-Day Livestream Seminar Taught by

Kevin Grimm
Course Dates:

Tuesday, December 6 –
Friday, December 9, 2022

Schedule: All sessions are held live via Zoom. All times are ET (New York time).

10:30am-12:30pm (convert to your local time)
1:30pm-3:00pm

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Machine learning has emerged as a major field of statistics and data analysis where the goal is to create reliable and flexible predictive models. This seminar offers a thorough introduction to machine learning methods. Topics covered include: cross-validation; multiple regression; basic variable selection methods; an overview of the R statistical framework; and advanced variable selection methods for regression analysis.

Starting December 6, we are offering this seminar as a 4-day synchronous*, livestream workshop held via the free video-conferencing software Zoom. Each day will consist of two lecture sessions which include hands-on exercises, separated by a 1-hour break. You are encouraged to join the lecture live, but will have the opportunity to view the recorded session later in the day if you are unable to attend at the scheduled time.

*We understand that finding time to participate in livestream courses can be difficult. If you prefer, you may take all or part of the course asynchronously. The video recordings will be made available within 24 hours of each session and will be accessible for four weeks after the seminar, meaning that you will get all of the class content and discussions even if you cannot participate synchronously. 

Closed captioning is available for all live and recorded sessions.

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"Would highly recommend the course to anyone interested in learning the basics of ML."

Excellent didactics, great mix of coding / theory with excellent practical examples. Kevin builds up towards complex models from simple ones in a very elegant way. Would highly recommend the course to anyone interested in learning the basics of ML. 

Andre Amaral

University of Toronto

"...the materials provided allow me to solidify my learning."

“I found Kevin’s teaching style very accessible and was able to follow and digest complex information due to the way it was explained. Moreover, the materials provided allow me to solidify my learning. I especially appreciate the provision of example R code.” 

Katie Houghton

RTI Health Solutions 

“I appreciated that the complex topics were explained in simple words..."

“I appreciated that the complex topics were explained in simple words, as well as the focus on ‘what it means and how it works’ from wider perspective rather than digging into technical nitty-gritties.”

Aliaksei Laureshyn

Lund University

"Very attentive to our needs and difficulties..."

“Kevin was an excellent tutor! Very attentive to our needs and difficulties, very patient and always helpful. Topics were all very interesting. Examples were worked through in detail. Recommended for both beginners and advanced learners!”

Panagiotis Ferentinos

National and Kapodistrian University of Athens

“I can’t tell you how much I enjoyed the course!"

“I can’t tell you how much I enjoyed the course! Dr. Grimm did a great job. He is superb! He covered the machine learning algorithms and approaches thoroughly, and taught in such a way that it was easy to understand. Another amazing fact is that he not only provided the detailed R code and but also went through the code during the lectures and labs. The lectures were very engaging. I attended this workshop for my own interest and for my research program. I thoroughly enjoyed!”

Saumen Mandal

University of Manitoba

"Covers a lot of different examples and methods."

“I really enjoyed the course. Great teacher. Covers a lot of different examples and methods. Can be used and adapted to my own work very quickly. 5 star recommendation.”

Stefan Gross

University Medicine Greifswald

"His expertise in latent variable modeling also allows for fruitful cross-disciplinary exchanges."

“The course addresses the most important supervised machine learning algorithms and approaches in a clear and comprehensive way. Professor Kevin Grimm provides excellent and clear explanations, as well as a plethora of useful material. His expertise in latent variable modeling also allows for fruitful cross-disciplinary exchanges. I highly recommend this course to anyone interested in deepening his/her expertise in this area.”

Enrico Perinelli

University of Trento