Understanding and Applying Machine Learning to Healthcare (Live, Remote)
25th-26th April 2020, 9:00AM - 5:00PM both days
This two-day course covers the fundamental theories of machine learning, the principles of applying it to healthcare and how to do so in practice.
The first day will focus on understanding machine learning and how it is currently being applied. The second day will focus applying the technology to healthcare problems, including the principles of product management applied to clinical AI solutions.
For more information, click here. (Note: You can attend either day or both.)
If you'd be interested in attending a course, but can't make any of the above / none are listed, drop an email to firstname.lastname@example.org. The rationale behind these courses is explained here. A description of previous course content is available here.
Check out these blog posts on a range of topics, including signposting to resources, suggestions for incorporating ML into a medical career, key research paper summaries and commonly-asked questions.
If there are any posts you'd like to see made, drop an email to email@example.com.
Here is a one-hour webinar giving an overview of machine learning and it's application in medicine:
This is a guest appearance on the 'Big Picture Medicine' podcast, where we talk about about key definitions (AI vs machine learning vs deep learning), the current state of AI in healthcare research, whether AI will replace doctors, how to read medical ML papers and how to get involved:
I have shared a mix of videos on machine learning in healthcare on my YouTube channel.
The course provides an excellent overview of Machine Learning for beginners. Each session was prepared really well and delivered at a good and provided enough time for discussions and to ask questions. I would thoroughly recommend this course for anyone who is new to Machine Learning and keen to learn more about it. - August 2019 course attendee
Very condensed and informative. Explained details which an average medical graduate could understand. Inspiring to hear how Chris got involved in ML and currently doing a masters on the topic. - Pradeep, September 2019 attendee
Broad scope, thoughtful planning, informed editing ie relevant and useful - September 2019 attendee
Machine Learning for Healthcare (2nd November 2019, 09:00AM - 4:30PM in London, UK)
Machine Learning for Healthcare (7th September 2019, 09:30AM - 4:00PM in London, UK)
Machine Learning for Healthcare (10th August 2019, 09:30AM - 4:00PM in London, UK)
WEBINAR: Understanding Machine Learning in Medicine: An Introduction (17th July 2019, 7:00PM - 8:00PM (GMT+1)) - Recording available here.
Recurrent neural networks and their medical applications (28th March 2019, 6:30PM - 8:30PM in London, UK)
Convolutional neural networks and their medical applications (14th March 2019, 6:00PM - 8:00PM in London, UK)
Neural Network structure, function and computation (5th March 2019, 6:30PM - 8:30PM in London, UK)
Machine Learning in Medicine: Core Concepts and Case Studies (28th February 2019, 6:00PM - 8:00PM in London, UK)
To join my personal email newsletter, where I will share updates on upcoming courses and newly-released resources (as well as thoughts and reflections each week), sign up here: