When I initially became aware of machine learning, as a thing that may have profound impacts on medicine, and society more broadly, I wanted to learn more - but didn't really know where to start.

The resources that I could find were designed for mathematicians and computer scientists and became very technical very quickly. With time and perseverance, I was able to obtain a reasonable grasp of the concepts, and how they apply to healthcare, but it wasn't easy.

Since then, a number of medical professionals have reached out to me for suggestions on where to start, and I found it unsatisfying not to have a good starting resource to recommend.

That was the initial motivation for me to start running courses and creating resources intended to 'bridge the gap' by providing a less-technical and more healthcare-tailored introduction to machine learning.

However, these also proved popular with people from non-medical backgrounds, such as data scientists and consultants, so I have run monthly one-day courses since July 2019, which are open to people from any background.

If you are new to machine learning in medicine, you might enjoy this webinar and these suggested resources.

If you'd be interested in attending a one-day course, and none are listed below, drop an email to machinelearning@chrislovejoy.me. Details about previous course content are 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 blog@chrislovejoy.me.

Here is a one-hour webinar giving an overview of machine learning and it's application in medicine:


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)


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