Jeremy mentioned in one of his tweets that he will be available for few weeks during the course. He also mentioned that part2 will come after the end of this course.
Thanks for the links.
Thanks for sharing, I appreciate that!
thanks, for sharing.
Thank you for providing the links. Yes, it appears to be a fastai course for the entire community.
After that, hopefully, part 2 of Jeremy’s course will be released.
Just wanted to know, since Part 2 of the 2020 course is not released yet, is there a recommended path that we should take after finishing Part 1?
Does the 2019 Part 2 course ‘map’ nicely with the 2020 Part 2 contents, if yes then it would mean that working on 2019 Part 2 would be feasible.
PS: I had asked a question in the forums which hasn’t received any answers. It was about
lr_find() not working well. Would appreciate if you can have a look
Hey @sahil1234 !
I’m close to finishing the 2020 part 1.
I had the exact same question as you about what to do next.
Just wondering if you got an answer from someone else about proceeding with the 2019 part 2 course.
If you’ve started it already, could you please share your thoughts?
Was anyone able to ask? What did he say?
From what I heard from others, it is a nice idea to re-do part 1 of the course again, Jeremy also mentions it at the end of the last lecture in Part 1.
After that, an option may be to join either Kaggle competitions or continue learning from the Jupyter notebooks’ next chapters (by yourself)
The book is indeed very nicely written, so reading the book should not be very difficult from what my experience has been
Will the lectures be publicly available and if so, when?
Oh no, I somehow missed this! Has the course been going on?
Do you know if the course has been running again? Are the lectures available somewhere?
Thanks for this. For others, Parts 2 is tentatively supposed to happen in Oct/Nov, more info will show up on the official site etc by then.
For those of you who (like me) completely missed the start of this year’s Part I course, you can find the video lessons on Queensland AI Hub’s Youtube channel:
Link to Lesson 1.
Wish videos had been edited like for the courses of the previous years, but it’s free, so can’t complain.