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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:
    Sudalai Rajkumar, SRK | Journey to becoming 3x Kaggle GM | Datasets | CTDS.Show #100 Sep 13, 2020
    Show notes

    Video Version: https://youtu.be/VPdmamFR6y8

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

    In this episode, Sanyam Bhutani interviews the SRK of Kaggle, 3x Kaggle Grandmaster and Data Scientist at H2O.ai: Sudalai Rajkumar.

    This interview is a Part-2 of the previous blog interview, they talk about SRK's journey to becoming 3x Kaggle GM along with his journey in Data Science and Kaggle.

    SRK shares many solid suggestions for people getting started in Data Science and Kaggle as well as for people with a "Non-Traditional" Background

    Links:

    Prev Interview: https://hackernoon.com/interview-with-twice-kaggle-grandmaster-and-data-scientist-at-h20-ai-sudalai-rajkumar-cd952ef0c522

    Follow:

    SRK:

    https://twitter.com/sudalairajkumar

    https://www.kaggle.com/sudalairajkumar

    http://linkedin.com/in/sudalairajkumar

    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


    Sara Hooker | Research at Google AI | Interpretability and Model Compression | CTDS.Show #99 Sep 10, 2020
    Show notes

    Video Version: https://youtu.be/O7JwKAv99_M

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

    In this episode, Sanyam Bhutani interviews Research Scholar at Google brain: Sara Hooker.

    Sara has an amazing background and a "non-traditional" path into research. They talk all about her journey into research into machine learning. Sara is still very much connected to her roots, she's from Africa, and she shares her amazing perspective on how different problems, different constraints can contribute to the field, research, or otherwise in interesting ways.

    Towards the end they also briefly dive into her recent works.

    Links:

    Underrated ML: https://www.underratedml.com

    Selective Brain Damage: Measuring the Disparate Impact of Model Pruning: https://arxiv.org/pdf/1911.05248

    Follow:

    Sara Hooker:

    https://twitter.com/sarahookr

    https://www.sarahooker.me

    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


    Adrian Rosebrock | The PyImageSearch Story | OpenCV, Deep Learning & Optical Character Recognition Sep 06, 2020
    Show notes

    Video Version: https://youtu.be/wyfROwJUW-Y

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

    In this episode, Sanyam Bhutani interviews the Computer Vision Guru, Chief at PyImageSearch: Dr. Adrian Rosebrock.

    This interview is part-2 of Sanyam's blog interview with Adrian. They talk about Adrian's journey into CV and ML. They also discuss the secrets of PyImageSearch HQ and how the amazing tutorials are created.

    They also talk about Adrian's upcoming OCR Book and the importance of OCR.

    Links:

    OCR Book (Indiegogo link): https://www.indiegogo.com/projects/ocr-with-opencv-tesseract-and-python/

    PyImageSearch: https://www.pyimagesearch.com

    Courses and Books by Adrian: https://www.pyimagesearch.com/books-and-courses/

    Previous Interview: https://hackernoon.com/interview-with-the-author-of-pyimagesearch-and-computer-vision-practitioner-dr-adrian-rosebrock-e00583a225a0

    Follow:

    Adrian Rosebrock:

    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

    #OpenCV #PyImageSearch #ComputerVision


    Anastasiia Mishchuk | Applying Kaggle to Research | Learning ML | CTDS.Show #97 Sep 03, 2020
    Show notes

    Video Version: https://youtu.be/o-2NJWKWwdA

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

    In this episode, Sanyam Bhutani interviews Computer Vision Research Engineer at EPFL: Anastasiia Mishchuk

    They talk about her journey into research, into engineering, and also on kaggle. Anastasiia is a kaggle competition master: They talk about her perspective on kaggle and also dive into her process of approaching research problems and discuss one of her recent works.

    Follow:

    Anastasiia Mishchuk:

    https://twitter.com/Ana_Geneva

    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


    Dima Damen | Action & Video Recognition | Epic-Kitchens-100 | CTDS.Show #96 Aug 30, 2020
    Show notes

    Personal Note: This is one of the best interviews that I've had the privilege of conducting. Every single answer by Dima, every single qoute is simply, golden.

    Video Link: https://youtu.be/GXqq_hj-UuY

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

    In this episode, Sanyam Bhutani interviews an associate professor at the University of Bristol and CV researcher with interests in action recognition and video recognition: Dr. Dima Damen

    They talk about her journey into the field and her research, what she's learned from working with so many students advising PhD, Masters and undergrad students and about how she teaches computer vision.

    They discuss her recent works on action recognition, along with kitchens 100 data set that she's recently created.

    Links:

    Epic-Kitchens-100 Webpage: https://epic-kitchens.github.io/2020-100

    Epic-Kitchens-100 Trailer: https://www.youtube.com/watch?v=8IzkrWAfAGg

    Follow:

    Dima Damen:

    https://twitter.com/dimadamen

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

    http://people.cs.bris.ac.uk/~damen/

    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


    Andrey Kurenkov | Lessons from Grad School | TheGradient.pub | Stanford Research | CTDS.Show #95 Aug 27, 2020
    Show notes

    Video Version: https://youtu.be/NrkfNqz5w7M

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

    In this episode, Sanyam Bhutani interviews PhD Student at Stanford, AI and vision lab: Andrey Kurenkov

    This interview is a more critical take on research and different aspects of Andrey's research. They talk about what he's learned through his mistakes at grad school.

    They also discuss about TheGradient.pub, and Andrey's process of writing.

    Links:

    "All my failures in Grad School": https://www.youtube.com/watch?v=uxYpJ5mMKx0

    Follow:

    Andrey Kurenkov:

    https://twitter.com/andrey_kurenkov

    https://www.andreykurenkov.com

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

    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


    Fatma Guney | Unsupervised Learning of Multi-Frame Optical Flow w Occlusions | 3D CV | CTDS.Show #94 Aug 23, 2020
    Show notes

    Video Version: https://youtu.be/Fc6IEqEEpZw

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

    In this episode, Sanyam Bhutani interviews Computer Vision Researcher: Fatma Guney

    They talk all about Computer Vision, her research interests: optical flow and even beyond, self driving cars.

    Fatma has also taught a few courses based on computer vision and they dive into her take on what should students focus on in this field.

    Links:

    Unsupervised Learning of Multi-Frame Optical Flow with Occlusions: http://www.cvlibs.net/publications/Janai2018ECCV.pdf

    Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data:

    http://www.cvlibs.net/publications/Janai2017CVPR.pdf

    Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of the-Art:

    https://arxiv.org/abs/1704.05519

    Follow:

    Fatma Guney:

    https://twitter.com/ftmguney

    https://mysite.ku.edu.tr/fguney/

    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


    Ahmet Erdem | Trends Neuroimaging 7th place solo gold | Rapids.ai | CTDS.Show #93 Aug 20, 2020
    Show notes

    Video Version: https://youtu.be/G1ZvjJYRxH8

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

    In this episode, Sanyam Bhutani interviews a Kaggle Grandmaster from Turkey, Sr. Software Engineer at Rapids.ai: Ahmet Erdem

    They talk all about Ahmet's Kaggle journey, and his seventh place solo gold solution to the Trends Neuroimaging competition.

    Ahmet has been competing for a few years now, they discuss his approach to Kaggle which has led him to achieving 50% medals solo versus 50% in a team.

    Links:

    Interview with Even Oldridge: https://www.youtube.com/watch?v=-WzXIV8P_Jk

    7th Place Solution writeup: https://www.kaggle.com/c/trends-assessment-prediction/discussion/162787

    Follow:

    Ahmet Erdem:

    https://twitter.com/a_erdem4

    https://www.linkedin.com/in/aerdem4/

    https://www.kaggle.com/aerdem4

    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


    Abhishek Thakur | Approaching (Almost) any ML Problem | CTDS.Show #92 Aug 16, 2020
    Show notes

    Video Version: https://youtu.be/zgC8fjF0Now

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

    In this episode, Sanyam Bhutani interviews Abhishek Thakur for the 2nd time!

    They talk about his book: Approaching (Almost) any ML Problem, Abhishek's process to creating Videos and his process to writing the book.

    They also discuss on how to effectively approach Kaggle and Abhishek shares many advices that are applicable to Kaggle.

    Links:

    Previous Interview: https://www.youtube.com/watch?v=Ezbo57Z33N8

    Follow:

    Abhishek Thakur

    Twitter: https://twitter.com/abhi1thakur

    YouTube: https://www.youtube.com/channel/UCBPRJjIWfyNG4X-CRbnv78A

    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


    Guanshuo Xu | Achieving #1 Rank in Kaggle Competitions Tier | Alaska2 Winning Sol | CTDS.Show #91 Aug 13, 2020
    Show notes

    Video version: https://youtu.be/lkUhibNLMNk

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

    In this episode, Sanyam Bhutani interviews Data Scientist at H2O.ai, the new King of Kaggle Competitions, new Rank 1: Dr. Guanshuo Xu

    Guanshuo has just secured the title with his win in Alaska2 Image Steganalysis competition, in his journey he has achieved 15 gold medals, 15 silver medals, out of these 10 are solo gold 13 are solo Silver!

    They talk about his journey on Kaggle, he shares a few advices around how you should approach Kaggle, and how his approach has changed, how he approaches competition and how he learned over the period of competing on Kaggle.

    They also briefly discuss his solution to the Alaska2 competition as a proxy to understanding his approach to competitions.

    They also talk about his role at H2O.ai and the projects that he is contributing to.

    Links:

    Alaska2 Comp Page: https://www.kaggle.com/c/alaska2-image-steganalysis/discussion

    Solution Writeup: https://www.kaggle.com/c/alaska2-image-steganalysis/discussion/168548

    Follow:

    Dr. Guanshuo Xu:

    https://www.linkedin.com/in/guanshuo-xu/

    https://www.kaggle.com/wowfattie

    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


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