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

  1. 1.
    ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136
    1:23:08
  2. 2.
    "SentDex", Harrison Kinsley: YouTube, Entrepreneurship and NNFS.io #135
    2:20:46
  3. 3.
    Clair Sullivan: Graphs and the Neo4J Ecosystem #134
    1:04:35
  4. 4.
    Emil Wallner: Art & ML, Being Internet Taught, Creating ML Content #133
    1:04:27
  5. 5.
    Andrada Olteanu: Learning Data Science, Journey to becoming Kaggle Master #132
    53:08
  6. 6.
    Laura Leal Taixé: Computer Vision & Research at the Dynamic Vision & Learning Group #131
    42:24
  7. 7.
    William Falcon: The PyTorch Lightning Story #130
    57:17
  8. 8.
    Katy Warr: Fooling AI, Strengthening Deep Neural Networks Book, Adversarial Attacks #129
    54:20
  1. 9.
    Laura Fink: Journey to becoming Kaggle Kernels Grandmaster #128
    44:14
  2. 10.
    Barr Moses: Data Reliability, Data Downtime, MonteCarlo Data #127
    1:03:24
  3. 11.
    David Luebke: Graphics Research at NVIDIA, Training GANs with Limited Data #126
    1:04:21
  4. 12.
    Torsten Sattler: CV, Mixed Reality, Localisation & Robotics #125
    1:09:31
  5. 13.
    Zachary Mueller: Learning, Applying and contributing to Fastai #124
    46:12
  6. 14.
    Arsha Nagrani: Multi-Modal Research, Speaker Diarisation, VoxCeleb #123
    41:35
  7. 15.
    Ekaterina Kochmar: Automated Language Teaching & Assessment, NLP, Korbit.ai #122
    1:19:11
  8. 16.
    Richard Craib: The Numerai Story, Building the World's last Hedge Fund #121
    54:24
  9. 17.
    Michael Kennedy: Talk Python and Python Bytes Podcast, Creating Pythonic Content #120
    1:05:37
  10. 18.
    Charlie Boyle: Pushing the Envelope of Super Computing, NVIDIA DGX A100, Hardware Engg at NVIDIA #119
    55:05
  11. 19.
    Tim Dettmers: Personal Side of Academia, How to pick your Grad School, RTX 3000 FAQ #118
    1:12:36
  12. 20.
    "Beluga", Gabor Fodor: Cornell Birdcall 10 Pos Solo Gold Sol #117
    48:08
  13. 21.
    Luis Serrano: AI Content Creation, Teaching ML, Grokking ML #116
    52:12
  14. 22.
    Jacqueline Nolis & Emily Robinson: Building a Career in Data Science #115
    1:16:22
  15. 23.
    Catherine Nelson & Hannes Hapke: Building ML Pipelines #114
    45:11
  16. 24.
    Jeff Heaton: Creating AI Content, Kaggle and Teaching #113
    1:13:57
  17. 25.
    Ken Jee: Creating AI Content, Sports Analytics, Data Science Community #112
    52:12
  18. 26.
    Philipp Singer & Christof Henkel: Google Landmark Recognition 1st Pos Sol #111
    42:14
  19. 27.
    Thomas Wolf: NLP at Hugging Face, Transformers #110
    1:01:36
  20. 28.
    Ian Ozsvald: High Performance Python, Teaching & Consulting in ML #109
    1:11:16
  21. 29.
    Tim Dettmers: Which RTX 3000 GPU to get for DL? 3090 FAQ | CTDS.Show #108
    26:44
  22. 30.
    Kun Hao Yeh: SIIM ISIC Melanoma 14 Pos Sol | Journey to Becoming Kaggle Master | CTDS.Show #107
    25:38
  23. 31.
    Jose Fernandez Portal & Francisco Ingham | Approaching Fast.ai | ML Community | CTDS.Show #106
    1:10:01
  24. 32.
    Habib Bukhari & Igor Zubarev | Kaggle PANDA Challenge: 2nd Pos Sol | Gold Medalling on Kaggle | CTDS.Show #105
    1:16:52
  25. 33.
    Marie-Anne Lachaux | Unsupervised Translation of Programming Languages | FAIR | CTDS.Show #104
    35:09
  26. 34.
    Lavanya Shukla | Journey from coding websites at age 10 to Applying ML | CTDS.Show #103
    46:16
  27. 35.
    Alexey Grigorev | Machine Learning BookCamp | ML at Scale | Data Science at OLX | CTDS.Show
    50:05
  28. 36.
    Bryan Catanzaro | Research at NVIDIA | RTX 3000 | Deep Learning | CTDS.Show #101
    1:05:47
  29. 37.
    Sudalai Rajkumar, SRK | Journey to becoming 3x Kaggle GM | Datasets | CTDS.Show #100
    1:00:30
  30. 38.
    Sara Hooker | Research at Google AI | Interpretability and Model Compression | CTDS.Show #99
    1:29:47
  31. 39.
    Adrian Rosebrock | The PyImageSearch Story | OpenCV, Deep Learning & Optical Character Recognition
    1:29:56
  32. 40.
    Anastasiia Mishchuk | Applying Kaggle to Research | Learning ML | CTDS.Show #97
    24:13
  33. 41.
    Dima Damen | Action & Video Recognition | Epic-Kitchens-100 | CTDS.Show #96
    1:13:55
  34. 42.
    Andrey Kurenkov | Lessons from Grad School | TheGradient.pub | Stanford Research | CTDS.Show #95
    29:01
  35. 43.
    Fatma Guney | Unsupervised Learning of Multi-Frame Optical Flow w Occlusions | 3D CV | CTDS.Show #94
    52:03
  36. 44.
    Ahmet Erdem | Trends Neuroimaging 7th place solo gold | Rapids.ai | CTDS.Show #93
    31:19
  37. 45.
    Abhishek Thakur | Approaching (Almost) any ML Problem | CTDS.Show #92
    45:43
  38. 46.
    Guanshuo Xu | Achieving #1 Rank in Kaggle Competitions Tier | Alaska2 Winning Sol | CTDS.Show #91
    47:10
  39. 47.
    Aakash Nain | Tensorflow 2.0 | TF Add-Ons | Good API Designs | CTDS.Show #90
    30:17
  40. 48.
    Rachael Tatman | Rasa, Kaggle | Conversational AI | CTDS.Show #89
    40:46
  41. 49.
    Philipp Singer | Two Solo Gold Solutions: Jigsaw Toxic Comment, Tweet Sentiment | CTDS.Show #88
    1:01:34
  42. 50.
    Rob Mulla | Trends Neuroimaging: 15th Pos & Ion Switching: 11th Pos Sol | CTDS.Show #87
    1:06:58

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