About the Part 1 (2020) category

[Michal_w (Michal Wawrzyniuk)]

Me too just watching

Wonder are there any suggestions for prep to be ready for new course ?

[sayko]

I gonna go through this:
https://forums.fast.ai/t/a-walk-with-fastai2-study-group-and-online-lectures-megathread/
And thinking about projects I want to do.

re-read @init_27 How not to do Fast.ai (or any ML MOOC)

from his interview with Christine Mcleavey:

one of my favorite pieces of advice was from FastAI’s Jeremy Howard. He told me to focus on making one really great project that showed off my skills. He says that so many people have many interesting but half-finished projects on github, and that it’s much better to have a single one that is really polished.

[init_27 (Sanyam Bhutani)]

I was lucky to interview her again, where we discussed this in a lot of depth:

[brismith (Brian Smith)]

This new paper might be good prep too https://arxiv.org/abs/2002.04688! Great work Jeremy and Sylvain! And here too.

[shahnoza]

I have a quick question. Is it allowed to watch live/recordings in the online meetup?

[init_27 (Sanyam Bhutani)]

@shahnoza
Yes, We’re allowed to do it, please the last paragraph check here: https://forums.fast.ai/t/official-part-1-2020-updates-and-resources-thread/63376/3

[shahnoza]

Thank you @init_27 . I just got hesitant cause it was mostly referring to offline meetings. So can I share the link to the videos or should I open it myself and share with others as a screen share?

[suvash (Suvash Thapaliya)]

Given the paragraph mentions the following, I’d assume that it’d be preferred to not share the links after 24 hours (at which point, Jeremy usually uploads an edited version), but instead watch it live/ almost live with your friends and/or colleagues.

(no more than 24 hours after the live stream, please, so you stay up to date with the discussions)

[init_27 (Sanyam Bhutani)]

I might haven’t understood your question, I think it’s okay to watch it live with friends or play it back at a suitable time for a group-but maybe broadcast sharing the link with folks won’t be the best approach.

[jeremy (Jeremy Howard)]

@shahnoza thanks for the great question. I did indeed consciously not include online meetups in the message - basically I’m wanting to make sure that anyone who is organizing a study group is doing it with a level of care a consideration commensurate with the care and consideration we’re putting into the course, such that the overall experience of all in the fast.ai Live group will benefit from their involvement. It’s certainly possible to do that with an online study group too - for instance see TWIMLAI: https://twimlai.com/twiml-x-fast-ai/

Please don’t share the video links at all. But if you wish to re-stream to a study group that you are carefully managing, and where people have to sign up for access (so not just anyone can connect any time), then you may do so.

[shahnoza]

Thank you @jeremy for the detailed reply, sure, I will be re-streaming without sharing links and with sign up process. Thanks for the opportunity, I am sure the group members will be excited

[jcatanza (Joseph Catanzarite)]

I love that the fastai machine learning course is to be incorporated in this one!

[gianferrarif (Francesco Gianferrari Pini)]

I think that we have to be disciplined in using the advanced section for in depth keeping the normal one open to everyone for any kind of questions

[bauke-b (Bauke Brenninkmeijer)]

Thank you so much, Jeremy! Amsterdam study group is very thankful!

[Borz (Hakan (Wayne) Polatkan)]

@jeremy

In addition, we are hoping to incorporate the most important material from the Introduction to machine learning course into this one, so that there will no longer be a need for two separate courses.

This is good news, I’ve been planning to revisit the ML course for a long time now. Sounds like a step towards presenting FastAI as a general-purpose tunable-computing framework.

[viraat]

@jeremy

About half of the invitations were based on contributions over the previous 12 months, and the other half were based on contributions over fast.ai’s entire history. If you are somebody who has not been involved in the community or with the fastai library for a while, now is a great time to get involved again. The library has been rewritten from scratch, and is now far better than any previous version, and the course this year will be based on far more work than previous years, because we have spent much more time on it.

I’ve been away from the forums and fastai for a bit now. I got back to it because of your fastaiv2 paper and blog post. Thanks for the invite, I’ll try and keep active!

[pierreguillou]

Hi @herchu.
Thanks for you calendar online. I see that you gave a title to all lessons. Where did you find this information? I checked the course page and did not find it. Thank you.

[herchu (Hernán Foffani)]

In a bold and shameless move I assumed that the general layout of the course would be similar to the past run given that the number and length of the classes are the same.

[pierreguillou]

@herchu

I assumed that the general layout of the course would be similar to the past run

Surely a good hypothesis but since it is a new course, it could have changes. @jeremy: is it possible to have your course program or is it too early? Thank you.

[suvash (Suvash Thapaliya)]

If you’ve missed it, good idea to “watch” this thread, since all the official announcements will be there. Pretty sure that it’ll get updates as we go along.

Official Part 1 (2020) updates and resources thread

@part1_v4 - This thread will be used to post updates about the course that are likely to be of general interest. It is a closed thread, which means that only moderators will be adding to it - so we suggest you choose “Watching” at the bottom (it probably will currently say “Normal” or “Tracking” before you change it) to get notifications of these changes. We will also be updating this post with an index to lessons and important resources. Resources Dates : March 17 - May 5 (no class April 21)…