Chai Time Data Science

YouTube: Links:

[Chai Time Data Science @ctdsshow]

Tune in:
- ML Hero interviews: https://t.co/Nrpqa4p2yj
- News & Short Series: https://t.co/toS556E9OV
- Blog versions: @hackernoon: https://t.co/h1rCIryXwa

[Rohan Rao @magras193]

Excited to be on this Quadruple Quadruple Kaggle Grandmaster panel 🎉

And no, that's not a typo.

Tune in this Friday at 9:30pm IST: https://t.co/Il8ZzxsmBu

We may reveal a secret or two 😉

[Chai Time Data Science @ctdsshow]

CTDS Show is excited to be a community partner for the @neo4j #NODES2021 tomorrow!🍵

Sign up: https://t.co/RgwTgkvsjt

Join us tomorrow to learn from graph experts and their impact

[Sanyam Bhutani @bhutanisanyam1]

My interview with THE @Sentdex is today! 🍵

Final call for any questions that you'd want me to ask him 🙏

I've spent ~100 hours combing through Harrison's AMAZING journey.

I hope you'll find it as fascinating as I did!

ETA to release ~2 weeks:

https://t.co/oidObI8grh

[Sanyam Bhutani @bhutanisanyam1]

The @fastdotai community has always been very active on Twitter 🙏

Many people will be starting their journey this week, thanks to @amaarora

If you're trying to find your 'fastai peers', here's a list I have been putting together: https://t.co/ip4mfmkxfv

[Sanyam Bhutani @bhutanisanyam1]

I'm *really* excited to be interviewing THE @Sentdex next week 🙏🍵

Please send any questions that you'd want us to discuss on @ctdsshow

Interview will be out by 3rd week of June: https://t.co/oidObI8grh

[Radek Osmulski @radekosmulski]

Meta Learning is out! 🚀🥳

Above all, thank you for the warmth and support that you have shown me here on Twitter. That means the world to me and is completely out of this world 🥰

If you would like to continue helping me, any feedback would be greatly appreciated 😊

[Aman Arora @amaarora]

It's hard for me to contain my excitement as I share this with you!

@fastdotai has been at the core of all my learnings and I look forward to sharing the love for this library with you through fastbook reading sessions at @wandb for the next ~20 weeks!

A thread:

1/n

[Sanyam Bhutani @bhutanisanyam1]

Chai Time Data Science is seeking interns 🙏

If sharing stories of ML Heroes & helping ML community is of interest to you, I'm seeking help for:

- 🎥 Video Editing
- 📱 Managing social media

Sign up here if you're interested: https://t.co/8lHTNHRmbV

[Sanyam Bhutani @bhutanisanyam1]

I'll be moderating the discussion on Putting Models into Production.

If you have any Qs for the panel, please send them my way. 🍵🙏

PS: Major correction 👇, I'm not a Grandmaster 😅

[Sanyam Bhutani @bhutanisanyam1]

Chai Time Data Science has crossed 200,000 Streams overall! 🙏

Thank you so so much, everyone! 🍵

Time to work on Season 2 Launch: https://t.co/DtrUj8CzII

What would you like to see? What can I do better?

[Rohan Rao @magras193]

Pay for learning Machine Learning only after exhausting all free resources.

You will never need to pay.

[Dmytro Mishkin 🇺🇦 @ducha_aiki]

Visformer: The Vision-friendly Transformer

tl;dr: there are 2 modes of training:
- "base": short training, Crop-Flip augmentation
- "elite": long training, complex (RandAugment-like) augmentation.
Changes in network lead to opposite results in these modes
https://t.co/y8fM2H5r1I

[Aman Arora @amaarora]

"Could @huggingface Accelerate really be this easy?" I asked myself, and the result is this blog post where we take a deep-dive into the source code of the package.

https://t.co/i3jxSgTHtC

Thanks @GuggerSylvain - you've done it again!!

A thread:

1/n

[Rohan Rao @magras193]

🚀 Published new content on H2O AutoML 🚀

✅ Beginner friendly
✅ Complete with code
✅ End-to-end examples

🎉 Available on GitHub
🎉 Available on Colab
🎉 Available on Kaggle

More coming soon!
Stay home if possible. Stay safe! 😷

https://t.co/dzVUgAjCjI

[Sanyam Bhutani @bhutanisanyam1]

I'm so excited about this!

Everyone, please meet ProtonSuper 🙏

Build details:
- 2x3090
- 1xA6000
- i9-10940x
- 192 GB RAM

- *All Air-Cooled* ✅
- No Thermal Throttling ✅

Most importantly, enough RGB to defeat @GuggerSylvain 😁

Complete video: https://t.co/IMr6dxoRiJ

[Sanyam Bhutani @bhutanisanyam1]

Weekened watch @MLStreetTalk interview with @fchollet:

https://t.co/rZ9hYnqyY7

I feel MLST is like a Netflix special of the world of Machine Learning. The quality-of the podcast & production just gets better exponentially with every episode 😱

[Chai Time Data Science @ctdsshow]

This is too accurate! @huggingface

Who has secretly encoded @ctdsshow's net-worth into Transformers!? 😱

[Sanyam Bhutani @bhutanisanyam1]

Happening today in ~4 hours.

Please tune-in if you'd like to know more about my journey, @h2oai and @ctdsshow

[Radek Osmulski @radekosmulski]

THREAD: An enormous thank you to everyone who shared their insights on community participation! ❤️ It has been amazing to learn from you 🙏

Article with all the responses coming soon.

I would also like to give additional thanks to @bhutanisanyam1.

Here is why...