Inspired from @radek’s thread of sharing his new discoveries in thread, I want to start my own thread to share what I learn by (re)visiting the part 1 DL and ML Lectures.
I was lucky to get into the Fellowship but I was conservative with the AWS Credits.
Now that I’ve a Setup in place, I’d love to spend a lot more time on the course and library.
Here’s what I’ll be doing and updating this thread: Putting a hold on Part2, starting again right from the First Lectures.
Re-creating the solutions presented by Jeremy strictly WITHOUT Cheating/peeking.
Finding similar kaggle competitions to try them.
Blogging about new concepts
I also want to help anyone who is struggling with Compute power, Please feel free to reach out. I’d be happy to run your models.
I’m speeding through Machine Learning For Coders right now and I’m starting to believe that ML isn’t witchcraft and the spells can actually be learnt.
I’ve taken a public oath, stolen radek’s classic pledge words (I hope you don’t mind) to start my ML (And If I dare-DL) Path.
I think I’m ready to do a 100 Days of Twitter challenge. To Tweet 1 interesting ML/DL idea/trick that is cool. Everyday for the next 100 days without fail starting today.
I hope I don’t do too bad and really try to find some hidden gems.
