Introduction to Machine Learning and AI

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Tim Remnant at 20:47 on 12 Feb 2020

Fantastic talk. Definitely going to have a look into the libraries for python. I'm definitely more interested in machine learning than I was before.

Mike Oram at 21:00 on 12 Feb 2020

Great last minute talk. Super appreciate stepping in with a relevant topic. Few bits you lost Menon in the algorithm part that felt a bit dry but the general overviews of how it works was one of the clearest explanation iv heard

Lucia Velasco at 21:02 on 12 Feb 2020

Thank you for doing this! So impressive doing a last minute talk, wonderful intro.
I wasn't immediately sure what you meant by "If your reading PowerPoint it's AI".
Love the use of vintage memes for cats and dogs.
The distinction between Classification and Regression was really clear! Also for the following distinctions. Good stage presence.
I want a whole talk on how studies on Neural Networks are being applied backwards to biology! So fascinating. Weighting sounds interesting.
A lot of code on the simple neural network slide but you stepped through it really clearly. Helpful comments esp re seen/unseen values.
I'd never considered data preprocessing but it makes sense and you gave great examples.
Thank you!

Rick Hurst at 22:48 on 12 Feb 2020

Great talk, especially after stepping in at the last minute. I thought this would mostly be over my head, but the concepts were well explained and I can now identify a couple of areas in upcoming projects where machine learning could possibly be applied.

Dan Ackroyd at 02:13 on 13 Feb 2020

Nice talk. One thing that would that would improve it is, in my opinion......never using a laser pointer.

Laser pointers are quite hard to see - it's better imo to use a presentation tool that allows you to highlight lines of text or put boxes around the thing you want people to focus on. https://revealjs.com/ is quite nice, and also adapts itself to different screen width/height ratios.

Also, using a laser pointer makes the speaker turn away from the audience to be able to look at the screen, which means you break eye contact, which makes it harder to stay engaged with the talk, as well as harder to hear for the people who are sitting on the side you've turned away from.

Piers Hobson at 11:36 on 13 Feb 2020

Thanks for the talk. A great overview of the topic.

Nicely delivered especially considering the speaker stepped in at the last minute.

Slides were pretty clear but perhaps a bit text heavy in places. From the back of the room, the bottom portion of the slides were hard to see.

Thanks again for a great talk.