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    Technology

    Chai Time Data Science

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

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    Copyright: © Sanyam Bhutani

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    Latest Episodes:
    Thomas Wolf: NLP at Hugging Face, Transformers #110 Oct 18, 2020
    Show notes

    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


    Ian Ozsvald: High Performance Python, Teaching & Consulting in ML #109 Oct 15, 2020
    Show notes

    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


    Tim Dettmers: Which RTX 3000 GPU to get for DL? 3090 FAQ | CTDS.Show #108 Oct 11, 2020
    Show notes

    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


    Kun Hao Yeh: SIIM ISIC Melanoma 14 Pos Sol | Journey to Becoming Kaggle Master | CTDS.Show #107 Oct 08, 2020
    Show notes

    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


    Jose Fernandez Portal & Francisco Ingham | Approaching Fast.ai | ML Community | CTDS.Show #106 Oct 04, 2020
    Show notes

    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


    Habib Bukhari & Igor Zubarev | Kaggle PANDA Challenge: 2nd Pos Sol | Gold Medalling on Kaggle | CTDS.Show #105 Oct 01, 2020
    Show notes

    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


    Marie-Anne Lachaux | Unsupervised Translation of Programming Languages | FAIR | CTDS.Show #104 Sep 27, 2020
    Show notes

    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


    Lavanya Shukla | Journey from coding websites at age 10 to Applying ML | CTDS.Show #103 Sep 24, 2020
    Show notes

    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


    Alexey Grigorev | Machine Learning BookCamp | ML at Scale | Data Science at OLX | CTDS.Show Sep 20, 2020
    Show notes

    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


    Bryan Catanzaro | Research at NVIDIA | RTX 3000 | Deep Learning | CTDS.Show #101 Sep 17, 2020
    Show notes

    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


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