Timeline, abbreviations, timings for Videos

[anshbansal (Aseem Bansal)]

I will add these timelines to wiki after the course is done and I have finalized these. But till then I am just putting a link to the google spreadsheet here so that everyone can access these. I usually watch videos after downloading them so these are not links to youtube but just the time but I think still useful and I guess creating links to youtube will be simple at the end given that all the timeline data is structured.

Check the timeline sheet for timelines. The abbreviations sheet will contain abbreviations probably by end of tomorrow. I am catching up.

fast ai DL 2 v2 Tracker

[jeremy (Jeremy Howard)]

Thanks! Yes a youtube link would be easy to add with a little spreadsheet formula. See the timelines that @EricPB has done to see how they work.

[EricPB (Eric Perbos-Brinck)]

Here’s a link for Part 1 V2.

Part 1 (V2): complete collection of video timelines

As a follow-up to the 2017 Part 1 and 2017 Part 2 video timelines, please find below the complete collection of video timelines for 2018 Part 1 (V2). This version includes a lot of “keywords” for search purpose. Special thanks to @hiromi for her help Note 1: this is for students who completed the entire Part 1 (V2) course and want to quickly find/reach a specific section, using keywords search on a single page/place. Imho, if you didn’t take the course: don’t use this as a way to “fly…

And the ML1.

Another treat! Early access to Intro To Machine Learning videos

I finalized the Video Timelines for the 12 lessons of “Intro to Machine Learning”. Note: I changed the format a bit, adding more details/keywords for search purpose, as Jeremy dives deeper into explaining his “behind-the-scene” code of the Fastai library in ML1 vs DL1. WIP: let me know if you find bugs or suggest changes Lesson 1 video timeline 00:02:14 AWS or Crestle Deep Learning 00:05:14 lesson1-rf notebook Random Forests 00:10:14 ?display documentation, ??display …

[EricPB (Eric Perbos-Brinck)]

Don’t tell anyone @anshbansal about this secret but building a Complete Collection of Video Timelines for Fast.ai -and posting it outside- is probably the best way to get the badge “Great Share” (aka a link shared by 1,000 outside visitors).
http://forums.fast.ai/badges/23/great-share
It’s a pretty private club cc @jeremy

[anshbansal (Aseem Bansal)]

I am going to make these timelines any ways. That’s just the way I study. But thanks for the tip.

[EricPB (Eric Perbos-Brinck)]

I was kidding about the “Great Share” badge

Just like you, I found that watching the videos during the second pass (1st I watch them “as is”, then I really get into them in a 2nd pass), while taking notes and recording the timelines, is a great way to study + get the content into my brain. “Learn to learn” is a great free course on Coursera in that regard.

Plus it’s very cool/neat to have the timelines available in one single page/post, as it enables keyword search for later revisits and/or sharing a precise point with colleagues/friends/yourself.

[jeremy (Jeremy Howard)]

Dunno about you lot, but I’m only here for the badges…

[cedric (Cedric Chee)]

Great work anshbansal. Our saviour, EricPB is back The timeline + abbreviations + short summary are really useful. Many thanks.