Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
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Content provided by Sanyam Bhutani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sanyam Bhutani or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
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ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136
Manage episode 298846807 series 2526207
Content provided by Sanyam Bhutani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sanyam Bhutani or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Video Version: https://youtu.be/W3aWEXqIkWk
Blog Overview: http://sanyambhutani.com/interview-with-the-nvidia-acm-recsys-2021-winning-team
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this Episode, Sanyam Bhutani interviews a panel from the ACM RecSys Winning competition team at NVIDIA.
They explain why are RecSys systems such a hard problem, how can GPUs accelerate these, how do we productize such solutions.
The team also does a ground basic to a complete overview of their solution. They understand the team's approaches to the problem, how did they arrive at the solution, and the tricks that they discovered and very generously shared in this interview
Links:
Interview with Even Oldridge: https://youtu.be/-WzXIV8P_Jk
Interview with Chris Deotte: https://youtu.be/QGCvycOXs2M
Open Source Solution: https://github.com/NVIDIA-Merlin/competitions/tree/main/RecSys2021_Challenge
Follow:
Benedikt Schifferer:
Linkedin: https://www.linkedin.com/in/benedikt-schifferer/
Bo Liu:
Twitter: https://twitter.com/boliu0
Kaggle: https://www.kaggle.com/boliu0
Chris Deotte:
Twitter: https://twitter.com/ChrisDeotte
Kaggle: https://www.kaggle.com/cdeotte
Even Oldridge
Twitter: https://twitter.com/even_oldridge
Linkedin: https://www.linkedin.com/in/even-oldridge/
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.
149 episodes
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Manage episode 298846807 series 2526207
Content provided by Sanyam Bhutani. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sanyam Bhutani or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Video Version: https://youtu.be/W3aWEXqIkWk
Blog Overview: http://sanyambhutani.com/interview-with-the-nvidia-acm-recsys-2021-winning-team
Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani
In this Episode, Sanyam Bhutani interviews a panel from the ACM RecSys Winning competition team at NVIDIA.
They explain why are RecSys systems such a hard problem, how can GPUs accelerate these, how do we productize such solutions.
The team also does a ground basic to a complete overview of their solution. They understand the team's approaches to the problem, how did they arrive at the solution, and the tricks that they discovered and very generously shared in this interview
Links:
Interview with Even Oldridge: https://youtu.be/-WzXIV8P_Jk
Interview with Chris Deotte: https://youtu.be/QGCvycOXs2M
Open Source Solution: https://github.com/NVIDIA-Merlin/competitions/tree/main/RecSys2021_Challenge
Follow:
Benedikt Schifferer:
Linkedin: https://www.linkedin.com/in/benedikt-schifferer/
Bo Liu:
Twitter: https://twitter.com/boliu0
Kaggle: https://www.kaggle.com/boliu0
Chris Deotte:
Twitter: https://twitter.com/ChrisDeotte
Kaggle: https://www.kaggle.com/cdeotte
Even Oldridge
Twitter: https://twitter.com/even_oldridge
Linkedin: https://www.linkedin.com/in/even-oldridge/
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.
149 episodes
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Chai Time Data Science
1 Top Kagglers Panel on Best Practises for Training Models 1:03:36
1:03:36 
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Play Later Play Later Lists Like LikedYT Channel: https://www.youtube.com/@ChaiTimeDataScience Learn more about H2O's Hydrogen Torch app here: https://h2o.ai/platform/ai-cloud/make/hydrogen-torch/ In this "episode", Sanyam Bhutani will host the the world's top kagglers and best data scientists to learn and debate the best practises for training ml models. We will learn from their experience of having won multiple competitions and built many incredible products at H2O: what are the best practises for taming your ml model Panelists: Dmitry Gordeev: https://www.kaggle.com/dott1718 https://twitter.com/dott1718 https://www.linkedin.com/in/dmitry-gordeev-50116023/?originalSubdomain=at Gabor Fodor: https://www.kaggle.com/gaborfodor https://www.linkedin.com/in/gábor-fodor-6a081548/?originalSubdomain=hu Pascal Pfeiffer: https://www.kaggle.com/ilu000 https://www.linkedin.com/in/pascal-pfeiffer/ Philipp Singer: https://www.kaggle.com/philippsinger https://twitter.com/ph_singer https://www.linkedin.com/in/philippsinger/ Yauhen Babakhin: https://www.kaggle.com/ybabakhin https://www.linkedin.com/in/yauhenbabakhin/ Sanyam Bhutani: https://www.kaggle.com/init27 https://twitter.com/bhutanisanyam1 https://www.linkedin.com/in/sanyambhutani/ A show for interviews with Practitioners, Kagglers & Researchers hosted by Sanyam.…
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Chai Time Data Science
1 Announcement + Amed Coulibaly | How to become Kaggle Competitions Grandmaster | #159 1:02:36
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Play Later Play Later Lists Like LikedChannel: http://youtube.com/c/ChaiTimeDataScience/ Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this Episode, Sanyam Bhutani interviews Amed Coulibaly about his journey and reflection on reaching Kaggle Competitions Grandmaster. They also understand his team's 3rd place solution to recently ended Feedback competition Links: Solution: https://www.kaggle.com/competitions/feedback-prize-english-language-learning/discussion/369609 Follow: Amed Coulibaly: Twitter: https://twitter.com/Amedprof Linkedin: https://www.linkedin.com/in/amed-coulibaly-94150610a/ Kaggle: https://www.kaggle.com/amedprof Sanyam Bhutani: Twitter: https://twitter.com/bhutanisanyam1 LinkedIn: https://www.linkedin.com/in/sanyambhutani/ Kaggle: https://www.kaggle.com/init27 Blog: sanyambhutani.com A show for Interviews with Practitioners, Kagglers & Researchers, and all things Data Science hosted by Sanyam Bhutani.…
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Chai Time Data Science
1 Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150 53:56
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Play Later Play Later Lists Like LikedThe show becomes "Coffee Time Data Science" for a one-time special episode! The genesis for this interview was this twitter thread: https://twitter.com/jeremyphoward/status/1503920390447730690 Video version: https://www.youtube.com/watch?v=g_6nQBsE4pU Links from the show: fastai Course: https://course.fast.ai How not to do fastai: https://medium.com/@init_27/how-not-to-do-fast-ai-or-any-ml-mooc-3d34a7e0ab8c Meta Learning Book: https://radekosmulski.gumroad.com/l/learn_deep_learning Rachel’s advice on Blogging: https://medium.com/@racheltho/why-you-yes-you-should-blog-7d2544ac1045 In the frame: Jeremy Howard: https://twitter.com/jeremyphoward Sanyam Bhutani: https://twitter.com/bhutanisanyam1 OUTLINE: 0:00 - Intro 2:40 - Reaching Kaggle Grandmaster Tier 4:46 - Current Work 6:30 - University Education 12:00 - Signing up for fastai 15:49 - Failures with fastai 18:29 - Tenacity 23:40 - Content Creation 33:10 - Sharing your work 36:09 - Educational Content 41:49 - Failing Google AI Residency 46:34 - Starting the podcast 48:19 - Question to Jeremy 52:40 - Thank you…
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Chai Time Data Science
1 Kathleen Walch, Ronald Schmelzer: AI Today Podcast, Creating AI Content: #137 51:34
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Play Later Play Later Lists Like LikedVideo Version: https://youtu.be/qObfeWYbrPM In this episode, Sanyam Bhutani interviews the hosts from AI Today Podcast: Kathleen Walch, Ronald Schmelzer They talk about their journey into AI, creating AI Content, and the AI Today Podcast. Links: AI Today Podcast: https://www.cognilytica.com/aitoday/ Cognalytica: https://www.cognilytica.com Follow: Kathleen Walch: Twitter: https://twitter.com/kath0134 Linkedin: https://www.linkedin.com/in/kathleen-walch-50185112/ Ronald Schmelzer: Twitter: https://twitter.com/rschmelzer Linkedin: https://www.linkedin.com/in/rschmelzer/ 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.…
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Chai Time Data Science
1 ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136 1:23:08
1:23:08 Play Later Play Later Lists Like Liked1:23:08
Play Later Play Later Lists Like LikedVideo Version: https://youtu.be/W3aWEXqIkWk Blog Overview: http://sanyambhutani.com/interview-with-the-nvidia-acm-recsys-2021-winning-team Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this Episode, Sanyam Bhutani interviews a panel from the ACM RecSys Winning competition team at NVIDIA. They explain why are RecSys systems such a hard problem, how can GPUs accelerate these, how do we productize such solutions. The team also does a ground basic to a complete overview of their solution. They understand the team's approaches to the problem, how did they arrive at the solution, and the tricks that they discovered and very generously shared in this interview Links: Interview with Even Oldridge: https://youtu.be/-WzXIV8P_Jk Interview with Chris Deotte: https://youtu.be/QGCvycOXs2M Open Source Solution: https://github.com/NVIDIA-Merlin/competitions/tree/main/RecSys2021_Challenge Paper Link: https://github.com/NVIDIA-Merlin/competitions/blob/main/RecSys2021_Challenge/GPU-Accelerated-Boosted-Trees-and-Deep-Neural-Networks-for-Better-Recommender-Systems.pdf Follow: Benedikt Schifferer: Linkedin: https://www.linkedin.com/in/benedikt-schifferer/ Bo Liu: Twitter: https://twitter.com/boliu0 Kaggle: https://www.kaggle.com/boliu0 Chris Deotte: Twitter: https://twitter.com/ChrisDeotte Kaggle: https://www.kaggle.com/cdeotte Even Oldridge Twitter: https://twitter.com/even_oldridge Linkedin: https://www.linkedin.com/in/even-oldridge/ 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.…
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Chai Time Data Science
1 "SentDex", Harrison Kinsley: YouTube, Entrepreneurship and NNFS.io #135 2:20:34
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Play Later Play Later Lists Like LikedPersonal Note: This was a huge honor for me to meet Harrison and have him on the podcast! In this episode, Sanyam Bhutani interviews THE SentDex about his journey as an entrepreneur, YouTube content creator, Educator and Author. They talk about his journey on and off the platform and the R&D that happens behind the scenes for the incredible videos that we get to see. They also discuss how the NVIDIA DGX A-100 box has been helping Harrison for the few months of usage. Thanks to our friends at NVIDIA for helping make this conversation happen! Link: NNFS.io: https://nnfs.io DGX-A100: https://www.nvidia.com/en-in/data-center/dgx-a100/ Interview with Charlie Boyle: https://www.youtube.com/watch?v=SiUnKGD90uI Follow: Harrison Kinsley: YouTube: https://www.youtube.com/user/sentdex Twitter: https://twitter.com/Sentdex Website: https://hkinsley.com Linkedin: https://www.linkedin.com/in/hkinsley/ Instagram : https://www.instagram.com/sentdex/ 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. #Python #machinelearning #SentDex…
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Chai Time Data Science
1 Clair Sullivan: Graphs and the Neo4J Ecosystem #134 1:04:31
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Play Later Play Later Lists Like LikedPersonal Note: I'm so happy to release a new interview after a really long break! Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Clair Sullivan, Graph Data Science Advocate at Neo4j They talk about Clair's journey from taking up the challenge and becoming an engineer to later transitioning from academia back into the industry Links: Neo4j: https://neo4j.com NODES 2021: https://neo4j.com/event/nodes-2021/ Follow: Clair Sullivan: https://twitter.com/CJLovesData1 https://www.linkedin.com/in/dr-clair-sullivan-09914342/ 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.…
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Chai Time Data Science
1 Emil Wallner: Art & ML, Being Internet Taught, Creating ML Content #133 1:04:23
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Play Later Play Later Lists Like LikedPersonal Note: Season 1 Finale had to be my interview with Emil. Huge thanks everyone for being a part of this journey! Video Version: https://youtu.be/ENbKecYgITA Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Emil Wallner, Artist in Residence at Google. They talk about Emil's journey from being a kind of a village in Africa to travelling and transitioning into AI. They discuss Emil's tweet storms, his self-taught journey and beyond Link: Meta thread to all of Emil's tweetstorms: https://twitter.com/bhutanisanyam1/status/1278036597523406849?s=20 Follow: Emil Wallner: https://twitter.com/EmilWallner https://github.com/emilwallner 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…
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Chai Time Data Science
1 Andrada Olteanu: Learning Data Science, Journey to becoming Kaggle Master #132 53:05
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Play Later Play Later Lists Like LikedPersonal Note: This was one my favourite Kaggle related interviews. Personally, I found Andrada's journey to be very relatable. Video Version: https://youtu.be/nshTx_EfRKU Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Andrada Olteanu about her journey to transitioning into Data Science and Learning on Kaggle. They discuss the struggles of learning something new and how to approach Kaggle. Follow: Andrada Olteanu: https://twitter.com/andradaolteanuu https://www.linkedin.com/in/andrada-olteanu-3806a2132/ https://www.kaggle.com/andradaolteanu 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…
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Chai Time Data Science
1 Laura Leal Taixé: Computer Vision & Research at the Dynamic Vision & Learning Group #131 42:21
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Play Later Play Later Lists Like LikedVideo Version: https://youtu.be/xDhVLLc4pUk Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Laura Leal Taixe. They talk about Laura's journey into Academia and her research at the Dynamic Vision & Learning Group. Follow: Laura Leal Taixé: https://twitter.com/lealtaixe https://www.youtube.com/channel/UCQVCsX1CcZQr0oUMZg6szIQ https://dvl.in.tum.de/team/lealtaixe/ 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…
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Chai Time Data Science
1 William Falcon: The PyTorch Lightning Story #130 57:13
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Play Later Play Later Lists Like LikedVideo Version: https://youtu.be/xbcGj_mtTB0 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews the creator of PyTorch Lightning: William Falcon They talk about William's journey from being in the military to the financial world, learning how to code and eventually transitioning into Data Science. They discuss the PyTorch lightning story and William's research, Grid.ai Links: Grid.ai: https://www.grid.ai PyTorch Lightning: https://www.pytorchlightning.ai Blog: https://www.williamfalcon.com/accessible-ai-blog Follow: William Falcon: https://twitter.com/_willfalcon https://www.williamfalcon.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…
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Chai Time Data Science
1 Katy Warr: Fooling AI, Strengthening Deep Neural Networks Book, Adversarial Attacks #129 54:17
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Play Later Play Later Lists Like LikedVideo Version: https://youtu.be/ODSgwUAzJj4 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Katy Warr from Roke Manor Research, author of Strengthening DNNs book. They talk about Katy's journey into AI, her work at Roke and the story of the book. They also talk about Fooling AI, DNNs, adversarial attacks and how to prevent these Book: https://www.oreilly.com/library/view/strengthening-deep-neural/9781492044949/ Follow: Katy Warr: https://www.linkedin.com/in/katywarr 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…
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Chai Time Data Science
1 Laura Fink: Journey to becoming Kaggle Kernels Grandmaster #128 44:11
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Play Later Play Later Lists Like LikedVideo version: https://youtu.be/g_lBMheQcpw Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Kaggle Grandmaster and Data Scientist: Laura Fink. They talk about Laura's journey from Physics into Data Science, her journey into creating the amazing storytelling notebooks on Kaggle and general tips & suggestions to Kaggle Noobs Follow: Laura Fink: https://www.linkedin.com/in/laura-f-ab2010170 https://www.kaggle.com/allunia 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…
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Chai Time Data Science
1 Barr Moses: Data Reliability, Data Downtime, MonteCarlo Data #127 1:03:19
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Play Later Play Later Lists Like LikedVideo Version: https://youtu.be/-Iem6tUnm2A Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews co-founder & CEO of MonteCarlo Data: Barr Moses. MonteCarlo Data is trying to solve the issues of reliability and downtime of data. They talk a lot about Data Downtime, observability and all of the issues that originate out of having "bad" data or issues with data. They also talk about Barr's journey into Data. Follow: https://www.montecarlodata.com Barr Moses: https://twitter.com/bm_datadowntime 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…
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Chai Time Data Science
1 David Luebke: Graphics Research at NVIDIA, Training GANs with Limited Data #126 1:04:17
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Play Later Play Later Lists Like LikedVideo Version: https://youtu.be/PaaKh7Tpzxg Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Dr David Luebke, VP of Graphics Research at NVIDIA. They talk about the fascinating world of Graphics and the research that goes on behind the scenes. Ray-Tracing and its promise. They also discuss NVIDIA's recent improvements in GANs: "Training GANs with Limited Data" paper Links: Interview with Bryan Catanzzaro: https://youtu.be/guJT5GOiNjA Paper Link: https://arxiv.org/abs/2006.06676 Follow: David Luebke: https://twitter.com/davedotluebke 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…
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Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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Show notes are at https://stevelitchfield.com/sshow/chat.html
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Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
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The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
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Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
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