Simple Machine Learning


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Daniel Mason at 11:08 on 18 Feb 2016

Christopher was very charismatic, humorous and a I think did a really good job of explaining a complex, mathematical subject first thing in the morning.

I would personally have liked it dumbed down even further. The subject is quite complex and I struggled with that. That might be my fault though. :)

Matt Dawkins at 11:19 on 18 Feb 2016

Awesome. Clear application, and the live demo was great - even the failure of it proved a point about performance! Inspired me to apply this to a content project I'm working on.

Loved the humour, presentation style and confidence. Humility was also appreciated, made you sound more approachable and human, which encourages me to give it a try too.

Bobby DeVeaux at 11:43 on 18 Feb 2016

Very interesting. Thank you! :)

neve never at 12:25 on 18 Feb 2016

Equal parts entertainment and learning! Great talk! Lighting in the room is horrible, but that's not the speaker's fault :)

John Noel at 12:56 on 18 Feb 2016

An excellent and practical introduction to a tricky topic that was, unfortunately, light on code but good examples and demos.

I really enjoyed the talk. Made it sound (almost) simple!

Having study AI ( a long time ago) I know it can be a very challenging topic.

May have to invite you over to PHPMinds ;)

David Yell at 13:50 on 18 Feb 2016

A complex and daunting topic delivered confidently in an easy to understand way.

Great speaker, great delivery.
One thing to improve on: when you show a formula, show real numbers beside it so people grasp the formula and if not they can see the outcome of each part.

Again, great delivery!

Simple machine learning was an engaging and interesting introduction on how to get started with machine learning and classification.

Katy Ereira at 18:50 on 18 Feb 2016

Really great insight into a topic I'd never seen covered before but is nevertheless very interesting. Obviously only covered the 'basics' but this was enough to pique an interest.

Chris is a really good speaker, I think his acting helps - well paced and charismatic.

Light and eatable. Althought I probably would never use php for this, I treat this presentation as an encouragement to seek for solutions of problems that interest us, you can learn sth usefull by the way.

Filip Golonka at 19:17 on 18 Feb 2016

Interesting speech with good examples.

Very interesting topic. You presented it really well. I like the theory behind it but wanted to see some code sooner.

I've been doing lots of work with Elastic Search recently which uses some of these techniques, however I've never had a peak inside the black box before. Interesting and at just the right level for me.

I think I probably want to learn more about this now!

Interesting talk on a bit of a non-conventional topic. Well presented and good content. The only disappointment was that this was a lot like statistics and only lightly touching machine learning (not that there is a very clear line between the two)

James Dunmore at 13:48 on 19 Feb 2016

Really well presented, and really interesting - just wished it touched on some of the freely (or very cheaply) available tools to do this rather than a pet project. But the ideas were really interesting and given me some good things to research. Thanks.

Machine Learning explained in a simple way. Chris was very humorous as well!

Phil at 00:29 on 20 Feb 2016

Chris did a good job of making a complex subject seem within the bounds of a regular Joe bloggs. I got it to a certain point, but felt that a stepped through code+data approach would have helped.

It's a subject I'll persue further, and I hope when I follow his code it'll fill in those gaps.

Paul Maidment at 01:35 on 20 Feb 2016

A very inspiring talk with a good discussion of machine learning techniques. I will definitely be taking a look into Bayes theorem.

One of my favourite talks at the conference, made me think about things I'd never looked into and didn't think world be possible in PHP! Entertaining delivery in what could be a very dry and mathsy topic. Thank you!

I am really enjoyed the talk - presents quite compilcated things in such understandable way is really hard - Christopher done that successfully.
I would like to see more examples with implementation for different use cases (or you can maybe mention tools which are in the wild already)

Very good introduction to machine learning given the time available. Would be interested in a longer, more in-depth, talk on the subject.

Shaun Walker at 11:55 on 21 Feb 2016

I didnt know anything about Machine Learning beyond the general concept of "data goes in, the computer does things, patterns come out" so I was going in completely new.

The talk did a great job as an introducing what machine learning is and exampled really well how its implemented.

Very informative talk on a complex subject with a good example: shame the "live demo" didn't quite go well. I think the potential for machine learning could have been highlighted a bit more - such as facial recognition/detection (see ) or how machine learning can "go wrong" (such as the loyalty card/pregnant girl issue in the states a few years ago).

Code link is everyone ;)

James Titcumb at 09:27 on 22 Feb 2016

Great talk, with good amount of entertainment. I admit I got a *little* lost at parts (couldn't tell you which parts specifically) but overall I got the concept. I think to "get it" better, I'd like to re-watch the videos to try and fill in the blanks.

Tom Cameron at 10:49 on 22 Feb 2016

Chris has a great way with words (it's very obvious that his acting experience helps here!), and injected plenty of humour into this talk. The demos weren't perfect, but if anything, that added to the charm. Great to see that this was a PHP-specific talk, and I learned a lot about how basic machine learning works - and I'll be looking to put this into practice in projects in the future.

Good talk and a good introduction to the topic. Might have been a bit mathsy for first thing in the morning, but that isn't the speaker's fault. A tip for any conferences using this talk in the future: put it after the morning coffee break!

Gary Fuller at 12:14 on 22 Feb 2016

A really interesting talk that gave me some ideas about how I might apply machine learning going forward. Chris is an engaging speaker and used an appropriate level of humour in the talk.

The only thing missing was a little background on statistical probability and (specifically) significance testing, which would be a useful way of ensuring differences in use of specific tags are genuine.

David Shrive at 14:21 on 22 Feb 2016

Very interesting task from a confident and charismatic speaker. It was a tough subject to explain and I think he did it very well. Using a live demo was brave but he rolled with the failure which proved he had prepared accordingly.

Good introduction to principles of inverted indexing and machine learning - I found it really helpful to cement stuff already touched on by encounter with Elasticsearch et al. Funny and engagingly delivered. This is what conferences are all about!

Jack Segal at 10:01 on 25 Feb 2016

Very good speaker who made a complex subject seem very simple.