Chai Time Data Science

By Sanyam Bhutani

Chai Time Data Science show is a series where Sanyam Bhutani interviews his Data Science Heroes: Practitioners, Kagglers & Researchers about all things Data Science... more

· Technology

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FAQs about Chai Time Data Science:

How many episodes does Chai Time Data Science have?

The podcast currently has 149 episodes available.

Chai Time Data Science episodes:

October 18, 2020 Thomas Wolf: NLP at Hugging Face, Transformers #110
Video Version: https://youtu.be/invR7r7c_pU
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews another NLP Hero from 🤗, the CSO: Thomas Wolf.
They talk about Thomas's journey into the field, Thomas has worked across many different fields, and they connect the dots of how he followed his passions leading towards finally now NLP and the world of transformers.
They talk about his research work and his work at hugging face. Thomas shares his overview of the pipelines that he works on at hugging face, the resources that he contributes to, and the project that he at the time of recording was involved in. There are many great advices on how to get started in NLP and in the world of machine learning as well.
Links:
https://huggingface.co
https://twitter.com/huggingface
Follow:
Thomas Wolf:
https://twitter.com/Thom_Wolf
https://www.linkedin.com/in/thomas-wolf-a056857
https://thomwolf.io
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
...more
1h 2min
October 15, 2020 Ian Ozsvald: High Performance Python, Teaching & Consulting in ML #109
Video Version: https://youtu.be/I7376Wl8JQ4
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the Chief Data Scientist at Mor consulting and an author of High Performance Python with O'Reilly: Ian Ozsvald.
They talk all about his rich experience in Python and in data science, broadly speaking.
Ian shares a lot of insights that he's picked up along his journey while working on so many rich projects, so many projects across different consulting tasks, different consulting missions that he's taken up.
They also touch upon his book: who should pick read the book, and what will they get out of it. Ian also broadly shares many amazing advices that he has learned over over all of these years.
Links:
https://www.oreilly.com/library/view/high-performance-python/9781492055013/
Follow:
Ian Ozsvald:
https://twitter.com/ianozsvald
https://www.linkedin.com/in/ianozsvald/
https://ianozsvald.com
https://morconsulting.com
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
...more
1h 12min
October 11, 2020 Tim Dettmers: Which RTX 3000 GPU to get for DL? 3090 FAQ | CTDS.Show #108
Video Version: https://youtu.be/CaoQLrSBk0o
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
This episode, which is an excerpt from Sanyam Bhutani's complete interview with Tim Dettmers
In this small excerpt, they discuss the RTX 3000 FAQs:
- Should you buy these?
- Which ones should you buy?
- How can you make two of these work together?
- Are they slower than the expected Quadro Cards?
Links:
https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/
Follow:
Tim Dettmers:
https://twitter.com/tim_dettmers
https://timdettmers.com
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
...more
27min
October 08, 2020 Kun Hao Yeh: SIIM ISIC Melanoma 14 Pos Sol | Journey to Becoming Kaggle Master | CTDS.Show #107
Video Version: https://youtu.be/XoHYqL_LlWs
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Kaggle Master and Sr. Software Engineer: Kun Hao Yeh.
They Talk about their team's 14th pos gold solution to the SIIM ISIC Melanoma Classification Comp.
They also discuss Kun Hao's journey from taking one of the courses by Marios to teaming up with him along with many Kaggle Tips & Tricks
Links:
Wining Sol: https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/175403
Interview with Marios: https://www.youtube.com/watch?v=A3GvuHqGGZI
Follow:
Kun Hao Yeh:
https://www.linkedin.com/in/michaelkhyeh/
https://www.kaggle.com/khyeh0719
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
#Fastai #Learning #PyTorch
...more
26min
October 04, 2020 Jose Fernandez Portal & Francisco Ingham | Approaching Fast.ai | ML Community | CTDS.Show #106
Video Version: https://youtu.be/ZrXaY3tdXuc
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews two of his mentors, peers from fast.ai, DL Engineers at Mercado Libre: Jose Fernandez Portal and Francisco Ingham.
This episode is a lot about making a transition into the field: Learning via fast.ai, and how to foster a community similar to fast.ai in your local region, the importance of this, Jose and Francisco both have taken the course have shared a similar journey and share a lot of interesting advices along these lines on how you should approach the material, make the most out of it. How should you plan your time around it, and how should you find the projects to pursue.
Links:
Combining Tabular data & speech: https://forums.fast.ai/t/share-your-work-here/27676/526
SGD Animator: https://forums.fast.ai/t/share-your-work-here/27676/300
Learning AI: My Journey by Francisco: https://medium.com/@fpingham/learning-ai-my-journey-d99f47ba79f
Follow:
Jose Fernandez Portal:
https://twitter.com/joshfp
https://www.linkedin.com/in/josefp/
Francisco Ingham:
https://twitter.com/fpingham
https://medium.com/@fpingham
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
...more
1h 10min
October 01, 2020 Habib Bukhari & Igor Zubarev | Kaggle PANDA Challenge: 2nd Pos Sol | Gold Medalling on Kaggle | CTDS.Show #105
Video Version: https://youtu.be/UVZm2gEZhtA
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews two amazing Kagglers, Kaggle Masters: "DrHB" & "CatEek": Habib Bukhari & Igor Zubarev.
They discuss their team's second position in the PANDA competition, The competition stands for Prostate cANcer graDe Assessment.
Their team, "Save the prostate" ranked second in the private leaderboard, they discuss about the journey into machine learning and kaggle. They connect the dots of how both of them got interested in ML and in kaggle, How did they get addicted to the platform.
They discuss about their approach to competitions, the teaming up approach, and their solution overview.
Links:
https://www.kaggle.com/c/prostate-cancer-grade-assessment
https://www.kaggle.com/c/prostate-cancer-grade-assessment/discussion/169108
Follow:
Habib Bukhari:
https://twitter.com/dr_hb_ai
https://www.kaggle.com/drhabib
Igor Zubarev:
https://www.kaggle.com/cateek
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
...more
1h 17min
September 27, 2020 Marie-Anne Lachaux | Unsupervised Translation of Programming Languages | FAIR | CTDS.Show #104
Video Version: https://youtu.be/dIejo08k9mI
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Research Engineer at FAIR: Marie-Anne Lachaux.
They discuss the joint work shared by Marie-Anne, "Unsupervised translation of programming languages"
If you're unaware: it's an amazing, mind-blowing work demonstrating how to translate code from one language to another.
They. dive into her research and her journey into the field along with how research projects are approached at FAIR Labs.
Links:
Unsupervised Translation of Programming Languages: https://arxiv.org/abs/2006.03511
Follow:
Marie-Anne Lachaux:
https://twitter.com/malachaux
https://www.linkedin.com/in/marieannelachaux/
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
...more
36min
September 24, 2020 Lavanya Shukla | Journey from coding websites at age 10 to Applying ML | CTDS.Show #103
Video Version: https://youtu.be/fOEG6EpAsLI
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the Head of Growth at Weights & Biases: Lavanya Shukla
Lavanya Shukla has a very interesting journey into machine learning and programming, they talk all about how she started programming at the age of 10 built amazing websites through a dial up connection in India, and over the years improved her skills, eventually joining a computer science degree programme and dropping out of it and then finding her passion for machine learning.
They also talk a lot about general advices on how should you progress in your programming and machine learning journey.
Links:
Weights and Biases: https://www.wandb.com
Follow:
Lavanya Shukla:
https://twitter.com/lavanyaai
https://lavanya.ai/
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
...more
47min
September 20, 2020 Alexey Grigorev | Machine Learning BookCamp | ML at Scale | Data Science at OLX | CTDS.Show
Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews Kaggle Comp Master, Lead Data Scientist at OLX Group: Alexey Grigorev.
They talk about his experience of transitioning into ML, how he did it, how was kaggle helpful.
Alexey shares a very honest overview of how his university how how much his university was helpful or not, and how was Kaggle helpfu
They also discuss Alexey's upcoming book: Machine Learning Bookcamp.
Links:
https://www.manning.com/books/machine-learning-bookcamp
Follow:
Alexey Grigorev:
https://twitter.com/al_grigor
https://www.linkedin.com/in/agrigorev/?originalSubdomain=de
https://alexeygrigorev.com
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
#Scale #OLX #MachineLearning
...more
51min
September 17, 2020 Bryan Catanzaro | Research at NVIDIA | RTX 3000 | Deep Learning | CTDS.Show #101
GTC Conference tickets giveaway details: https://twitter.com/bhutanisanyam1/status/1306637737592840193?s=20
Video Version: https://youtu.be/guJT5GOiNjA
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this episode, Sanyam Bhutani interviews the VP of Applied Research at NVIDIA: Bryan Catanzaro
They talk about Bryan's journey into ML and his journey at NVIDIA as a proxy to understanding the evolution of research being done at NVIDIA.
They discuss how Bryan's work led to the creation of CuDNN and what tasks he is involved in
Towards the later end, they also briefly discuss the recently launched RTX 3000 Series.
Follow:
Bryan Catanzaro:
https://twitter.com/ctnzr
https://ctnzr.io
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.
Intro track:
Flow by LiQWYD https://soundcloud.com/liqwyd
#NVIDIA #RTX3000 #Research
...more
1h 6min

FAQs about Chai Time Data Science:

How many episodes does Chai Time Data Science have?

The podcast currently has 149 episodes available.