Microsoft virtual booth at ICLR on Deep Learning

Machine Learning in Sports ICLR

Check the virtual booth schedule for #Microsoft machine learning team at #ICLR. My session is tomorrow, Tuesday at 3PM PST, focusing on applying machine learning methods in sports, health and fitness, using Microsoft Azure.

Many models and methods, including supervised, unsupervised, reinforcement learning and tasks in deep vision, object detection, classification, semantic segmentation and action recognition can be successfully applied in modern sports and coaching. These same methods can also be applied in robotics, gaming, motion capture, even movie production.

To be successful as data scientists, we need to make sure our models are built with the best engineering practices, can be effectively deployed to the cloud, retrained and presented to the end user. This session is about using Microsoft Azure for sports related machine learning applications.

New Book!

Presenting on Machine Learning in Sports at ICLR 2020

Machine Learning in Sports session at ICLR

I’ll be holding a live session at #ICLR2020 (International Conference on Learning Representations) on Tuesday, 4/28/2020 at 3PM PST. The session focuses on applying machine learning methods in sports, health and fitness, using Microsoft Azure. A lot of this research and more is covered in my book ‘Applied Machine Learning in Health and Fitness’ http://activefitness.ai.

Many models and methods, including supervised, unsupervised, reinforcement learning and tasks in deep vision, object detection, classification, semantic segmentation and action recognition can be successfully applied in modern sports and coaching. These same methods can also be applied in robotics, gaming, motion capture, even movie production.

To be successful as data scientists, we need to make sure our models are built with the best engineering practices, can be effectively deployed to the cloud, retrained and presented to the end user. This session is about using Microsoft Azure for sports related machine learning applications.

Visit ICLR web site for conference scheduling. My book website.

Illustrating the book

I keep getting questions about how I made illustrations for my book: so, here is the secret: I draw with the pencil then make a fine outline with a drawing pen. Then erase the pencil and process the drawing with Python and OpenCV, but sometimes I get lazy and simply use Adobe Capture 🙂

Announcing my book on applied AI

Announcing my book on Applied Machine Learning in Health and Fitness. See http://activefitness.ai for more details. I just announced completing my book called “Applied Machine Learning in Health and Fitness”, so if you are interested in fun practical data science applications, you can find many interesting examples and projects in Python with Jupyter notebooks when the book comes out. The book summarizes a lot of research I’ve done over the years working on problems that connect health, fitness and sports with the latest developments in machine learning.