Chai Time Data Science
Un pódcast de Sanyam Bhutani
149 Episodo
-  Top Kagglers Panel on Best Practises for Training ModelsPublicado: 22/1/2023
-  Announcement + Amed Coulibaly | How to become Kaggle Competitions Grandmaster | #159Publicado: 29/12/2022
-  Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150Publicado: 23/3/2022
-  Kathleen Walch, Ronald Schmelzer: AI Today Podcast, Creating AI Content: #137Publicado: 6/10/2021
-  ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136Publicado: 31/7/2021
-  "SentDex", Harrison Kinsley: YouTube, Entrepreneurship and NNFS.io #135Publicado: 23/7/2021
-  Clair Sullivan: Graphs and the Neo4J Ecosystem #134Publicado: 20/7/2021
-  Emil Wallner: Art & ML, Being Internet Taught, Creating ML Content #133Publicado: 7/1/2021
-  Andrada Olteanu: Learning Data Science, Journey to becoming Kaggle Master #132Publicado: 3/1/2021
-  Laura Leal Taixé: Computer Vision & Research at the Dynamic Vision & Learning Group #131Publicado: 31/12/2020
-  William Falcon: The PyTorch Lightning Story #130Publicado: 27/12/2020
-  Katy Warr: Fooling AI, Strengthening Deep Neural Networks Book, Adversarial Attacks #129Publicado: 24/12/2020
-  Laura Fink: Journey to becoming Kaggle Kernels Grandmaster #128Publicado: 20/12/2020
-  Barr Moses: Data Reliability, Data Downtime, MonteCarlo Data #127Publicado: 17/12/2020
-  David Luebke: Graphics Research at NVIDIA, Training GANs with Limited Data #126Publicado: 13/12/2020
-  Torsten Sattler: CV, Mixed Reality, Localisation & Robotics #125Publicado: 10/12/2020
-  Zachary Mueller: Learning, Applying and contributing to Fastai #124Publicado: 6/12/2020
-  Arsha Nagrani: Multi-Modal Research, Speaker Diarisation, VoxCeleb #123Publicado: 3/12/2020
-  Ekaterina Kochmar: Automated Language Teaching & Assessment, NLP, Korbit.ai #122Publicado: 29/11/2020
-  Richard Craib: The Numerai Story, Building the World's last Hedge Fund #121Publicado: 26/11/2020
Chai Time Data Science show is a series where Sanyam Bhutani interviews his Data Science Heroes: Practitioners, Kagglers & Researchers about all things Data Science
