Cover art for podcast Chai Time Data Science

Chai Time Data Science

77 EpisodesProduced by Sanyam BhutaniWebsite

Chai Time Data Science show is a Podcast + Video + Blog based show for interviews with Practitioners, Kagglers & Researchers and all things Data ScienceThis is also a “re-start” or continuation of the “Interview with Machine Learning Heroes Series” by Sanyam Bhutani.

1:17:42

Eli Stevens, Luca Antiga, and Thomas Viehmann | Deep Learning with PyTorch

Link to tweet for details on Giveaway: https://twitter.com/bhutanisanyam1/status/1263500914427494400?s=20

Discount code: "PodChai20"

Video Version: https://youtu.be/f5Qv3eSZpug

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews three great contributors to PyTorch: Eli Stevens, Luca Antiga, and Thomas Viehmann.

The three are also authors of an upcoming book by Manning Publications: Deep learning with Pytorch

In this interview, they talk about the authors' journey into machine learning and the journey with Pytorch towards the efforts into writing the book.

They also discuss the book writing efforts, the authors share what can one expect from the book and what are you expected to have prepared before learning from the book and what can you take away from it.

There is also a lot of great advice around project building, which is, is one of the essence to getting your break into the field.

Links:

Link to the book: https://www.manning.com/books/deep-learning-with-pytorch

PyTorch: https://pytorch.org

Follow:

Eli Stevens:

https://www.linkedin.com/in/eli0stevens/

Luca Antiga:

https://twitter.com/lantiga?lang=en

https://lantiga.github.io

Thomas Viehmann:

https://twitter.com/thomasviehmann

http://thomas.viehmann.net

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Note: Thanks to Manning Publication for doing the giveaway, note that manning hasn't sponsored the video in anyway, I'm a huge fan of their book and I'm grateful that they're doing a special giveaway + discount for the CTDS.Show audience

#MachineLearning #PyTorch #Book

--- Send in a voice message: https://anchor.fm/chaitimedatascience/message
Educational emoji reaction

Educational

Interesting emoji reaction

Interesting

Funny emoji reaction

Funny

Agree emoji reaction

Agree

Love emoji reaction

Love

Wow emoji reaction

Wow

Are you the creator of this podcast?

Verify your account

and pick the featured episodes for your show.

Listen to Chai Time Data Science

RadioPublic

A free podcast app for iPhone and Android

  • User-created playlists and collections
  • Download episodes while on WiFi to listen without using mobile data
  • Stream podcast episodes without waiting for a download
  • Queue episodes to create a personal continuous playlist
RadioPublic on iOS and Android
Or by RSS
RSS feed
https://anchor.fm/s/c19772c/podcast/rss

Connect with listeners

Podcasters use the RadioPublic listener relationship platform to build lasting connections with fans

Yes, let's begin connecting
Browser window

Find new listeners

  • A dedicated website for your podcast
  • Web embed players designed to convert visitors to listeners in the RadioPublic apps for iPhone and Android
Clicking mouse cursor

Understand your audience

  • Capture listener activity with affinity scores
  • Measure your promotional campaigns and integrate with Google and Facebook analytics
Graph of increasing value

Engage your fanbase

  • Deliver timely Calls To Action, including email acquistion for your mailing list
  • Share exactly the right moment in an episode via text, email, and social media
Icon of cellphone with money

Make money

  • Tip and transfer funds directly to podcastsers
  • Earn money for qualified plays in the RadioPublic apps with Paid Listens