Learning Machine Learning

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Needed more handstands. 😁

Rated 3

John Braun at 15:11 on 11 Jun 2019

Nice to see how the nearest neighbors algorithm can be used in a PHP project.

Rated 5

Oliver Lowson at 17:25 on 11 Jun 2019

Thanks Liam, a well-presented taster of what is possible with machine learning and Laravel, and also somewhat demystifying the thing and making it accessible. Thank you very much

Rated 3

Joao Matos at 17:32 on 11 Jun 2019

I think the speaker needs to address the small private jokes.. I laughed any time but seamed to be the only one. Great topic, love the presentation, but careful with the train of thoughts (depending on the crowed)

Rated 3

Keni WILLIAMS at 17:35 on 11 Jun 2019

Super doopa handy Pandy.

Informative and fun talk, showing the journey of learning a completely new field. Helped me understand the basics of machine learning, and that it's not the rocket science we might think it is. Got a bit too technical for me in the end, that could be compressed/simplified a bit ;)

Rated 4

Mike Smith at 21:10 on 11 Jun 2019

Good primer on machine learning, and a nice walk through of how it can be leveraged without knowing all the internal detail and still achieve success

Rated 4

Mizan Syed at 22:53 on 11 Jun 2019

Good speaker.

Rated 4

Alan Wilson at 08:18 on 12 Jun 2019

A good overview of how a framework like Laravel can be flexible enough to tackle diverse projects.

This talk started really nice. I found it super interesting how a company is approaching machine learning to achieve a certain goal. Loved that. But in the end, I had a hard time staying focused. Maybe the section about the different approaches was too long but I'm not sure. Still thanks for sharing this story.

Rated 4

Lee Crosdale at 11:15 on 12 Jun 2019

Enjoyed the talk

Rated 5

Gavin Taylor at 19:20 on 12 Jun 2019

really enjoyed this talk, some great points to think/talk about with my team as we make a start on our own machine learning project.

Rated 5

Peter Fox at 00:25 on 14 Jun 2019

As someone who's studied data mining academically it was fun to see a practical talk in feeling your way around the subject and the discovering of the right options to get the end results you wanted. This is something I personally want to involve more in products. I'm not sure if the fruit examples were that great as I got a bit lost at points, I think swapping from your original subject of the chargebacks to the fruit through me a bit. I got there eventually though.

All in all, well presented, friendly and engaging feel makes it easy to listen to.