Data Analysis 9: Data Regression - Computerphile

This series was made possible by sponsorship from by Google.

This video was filmed and edited by Sean Riley.

[zerokelvin]

I binge watched the whole series and I would like to take of my hat off! Thank you for putting together this concise, well thought-out course that has helped me to practice and deepen my knowledge in the area. What a world we live in where we not only have these powerful technologies at our disposal, but where we can also get to know them so easily.

[Borladim]

I am a programmer for years and recently got into data sciences for work related stuff. I read a few books and articles and took a course on the topic. But i have to say: You condensed the knowledge so effectively and presented it so clearly and easy to understand that i probably learned more from this playlist, than from all the other resources. Thank you very much.

[pxdelta]

This has been some of the best computerphile content ever. Thank you very much for this! I‘m sure i‘ll go back and watch them many more times.

[saschb]

Much appreciated, and very well made! This kind of subject area overview crash course with concrete examples must have taken some real effort behind the scenes, but be aware that it shows! I, for one, would definitely welcome similar courses in other topics in the future!

[astelija]

What I didn't like was the number of episodes. I want MOAR

[msnwolf]

I love the format and how the content was presented. Examples were realistic, modern and relevant. Having the content organized in a coherent progressive series makes the understanding of the topics easier and more friendly for the beginner and more accesible for the advanced to skip or review concepts already understood.

[leantide]

Learned many things from your series, including that y=mx+c is used in the UK while y=mx+b is used in the US.

[systemsincode]

OK this short series has been invaluable to me as someone trying to understand and then apply machine learning to a problem. The work up to practical applications without dumbing it down has been really helpful to me. A really valuable overview.

[wouldntyaliktono]

Regression is so much more than just a predictive tool. It's a powerful hypothesis testing framework as well. Would love some content along those lines one of these days.

[kieranklaassen]

Please more of this! Maybe deeper dive into some Network designs

[shershahdrimighdelih]

More deep dives like this please. This was an excellent introduction to the techniques used in data analysis

[TheJamesM]

I really enjoyed this series - splitting it up into separate episodes in order to focus on different topics makes a lot of sense. I'd definitely be interested in seeing more series of this kind of format.

[shararmahmood]

We want more Mike Pound series. Thanks a million for this one.

[Thermophobe]

if there was a like button for a playlist, i would've used it for this series! really accessible and there is something to clear misconceptions of those who have learnt to do data analysis through web tutorials. more of this please

[manarlab]

Thank you for the great course. I feel fortunate to have this well desinged knowledge curve at my disposal for free. Hats off to Dr. Mike and the course creation team and big thank you to the best channel ever computerphile.

[jaffarbh]

This series is by far the best introduction to data science and ML I've ever seen. Can't thank you enough gentlemen.

[benmendoza]

As a "mature" student, I found this series amazingly valuable. Your enthusiasm for the subject shines through and is the sign of a great teacher. Thanks!

[supersu]

Hands down the best data analysis video content i had watched

[veeek]

What an amazing introduction. You make this all sound so simple, which is a really helpful place to start!

[xxxx-jwqd]

Would be nice more series from Mike on RL or DL