From chatbots to your home thermostat, it seems like machine learning algorithms are everywhere nowadays. How about understanding how this works now? In this talk, you will learn about the basics of machine learning through various basic examples, without the need for a PhD or deep knowledge of assembly. At the end of this talk, you will know what the Naive Bayes classifiers, sentiment analysis and basic genetic algorithms are and how they work. You will also see how to create your own implementations in Javascript.


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Funny and entertainment presentation.

Bruno at 11:04 on 27 Jan 2018

Nice introductory talk. But not really enough to get me started on machine learning. Maybe it is a difficult subject to introduce in such a presentation format.

Good introduction to different machine learning concepts and a tiny introduction on how to get started with it.

Nice talk and examples!

Koen Cornelis at 16:11 on 27 Jan 2018

Funny, engaging and exactly as promised.

Stef Liekens at 20:50 on 27 Jan 2018

A good and funny introduction mapped to real life examples.

Jelle Smeets at 20:59 on 27 Jan 2018

Great talk! Got me really conviced that machine learing is something I can actually start doing without having a degree in mathematics.

Henk at 09:39 on 28 Jan 2018

Great talk! Fascinating stuff. An awesome summary of the loosing-the-forest-for-the-trees amount of information about ML, and AI.

Great talk. Nice introduction the the topics. Delivered in an engaging manner with a lots of humour.

Jasper Kennis at 14:57 on 29 Jan 2018

Good talk, nice and exciting examples that invite to play around with the explained examples.

Loved the talk! Great intro into ML and AI.
Also the examples and the video at the end were nice to see!

Good job!

Joey at 19:41 on 29 Jan 2018

Awesome introduction to machine learning. I really liked the genetic algorithms, the video was very awesome to show the benefits of genetic algorithms and how cool they are.

Anonymous at 09:16 on 30 Jan 2018

Nice talk.

Explaining the generic ideas, not too technical, good for beginners.