Chai Time Data Science

By Sanyam Bhutani

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Subscribers: 32
Reviews: 0
Episodes: 149

Description

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

Episode Date
Top Kagglers Panel on Best Practises for Training Models
Jan 22, 2023
Announcement + Amed Coulibaly | How to become Kaggle Competitions Grandmaster | #159
Dec 29, 2022
Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150
Mar 23, 2022
Kathleen Walch, Ronald Schmelzer: AI Today Podcast, Creating AI Content: #137
Oct 06, 2021
ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136
Jul 31, 2021
"SentDex", Harrison Kinsley: YouTube, Entrepreneurship and NNFS.io #135
Jul 23, 2021
Clair Sullivan: Graphs and the Neo4J Ecosystem #134
Jul 20, 2021
Emil Wallner: Art & ML, Being Internet Taught, Creating ML Content #133
Jan 07, 2021
Andrada Olteanu: Learning Data Science, Journey to becoming Kaggle Master #132
Jan 03, 2021
Laura Leal Taixé: Computer Vision & Research at the Dynamic Vision & Learning Group #131
Dec 31, 2020
William Falcon: The PyTorch Lightning Story #130
Dec 27, 2020
Katy Warr: Fooling AI, Strengthening Deep Neural Networks Book, Adversarial Attacks #129
Dec 24, 2020
Laura Fink: Journey to becoming Kaggle Kernels Grandmaster #128
Dec 20, 2020
Barr Moses: Data Reliability, Data Downtime, MonteCarlo Data #127
Dec 17, 2020
David Luebke: Graphics Research at NVIDIA, Training GANs with Limited Data #126
Dec 13, 2020
Torsten Sattler: CV, Mixed Reality, Localisation & Robotics #125
Dec 10, 2020
Zachary Mueller: Learning, Applying and contributing to Fastai #124
Dec 06, 2020
Arsha Nagrani: Multi-Modal Research, Speaker Diarisation, VoxCeleb #123
Dec 03, 2020
Ekaterina Kochmar: Automated Language Teaching & Assessment, NLP, Korbit.ai #122
Nov 29, 2020
Richard Craib: The Numerai Story, Building the World's last Hedge Fund #121
Nov 26, 2020
Michael Kennedy: Talk Python and Python Bytes Podcast, Creating Pythonic Content #120
Nov 22, 2020
Charlie Boyle: Pushing the Envelope of Super Computing, NVIDIA DGX A100, Hardware Engg at NVIDIA #119
Nov 19, 2020
Tim Dettmers: Personal Side of Academia, How to pick your Grad School, RTX 3000 FAQ #118
Nov 15, 2020
"Beluga", Gabor Fodor: Cornell Birdcall 10 Pos Solo Gold Sol #117
Nov 12, 2020
Luis Serrano: AI Content Creation, Teaching ML, Grokking ML #116
Nov 08, 2020
Jacqueline Nolis & Emily Robinson: Building a Career in Data Science #115
Nov 05, 2020
Catherine Nelson & Hannes Hapke: Building ML Pipelines #114
Nov 01, 2020
Jeff Heaton: Creating AI Content, Kaggle and Teaching #113
Oct 29, 2020
Ken Jee: Creating AI Content, Sports Analytics, Data Science Community #112
Oct 25, 2020
Philipp Singer & Christof Henkel: Google Landmark Recognition 1st Pos Sol #111
Oct 22, 2020
Thomas Wolf: NLP at Hugging Face, Transformers #110
Oct 18, 2020
Ian Ozsvald: High Performance Python, Teaching & Consulting in ML #109
Oct 15, 2020
Tim Dettmers: Which RTX 3000 GPU to get for DL? 3090 FAQ | CTDS.Show #108
Oct 11, 2020
Kun Hao Yeh: SIIM ISIC Melanoma 14 Pos Sol | Journey to Becoming Kaggle Master | CTDS.Show #107
Oct 08, 2020
Jose Fernandez Portal & Francisco Ingham | Approaching Fast.ai | ML Community | CTDS.Show #106
Oct 04, 2020
Habib Bukhari & Igor Zubarev | Kaggle PANDA Challenge: 2nd Pos Sol | Gold Medalling on Kaggle | CTDS.Show #105
Oct 01, 2020
Marie-Anne Lachaux | Unsupervised Translation of Programming Languages | FAIR | CTDS.Show #104
Sep 27, 2020
Lavanya Shukla | Journey from coding websites at age 10 to Applying ML | CTDS.Show #103
Sep 24, 2020
Alexey Grigorev | Machine Learning BookCamp | ML at Scale | Data Science at OLX | CTDS.Show
Sep 20, 2020
Bryan Catanzaro | Research at NVIDIA | RTX 3000 | Deep Learning | CTDS.Show #101
Sep 17, 2020
Sudalai Rajkumar, SRK | Journey to becoming 3x Kaggle GM | Datasets | CTDS.Show #100
Sep 13, 2020
Sara Hooker | Research at Google AI | Interpretability and Model Compression | CTDS.Show #99
Sep 10, 2020
Adrian Rosebrock | The PyImageSearch Story | OpenCV, Deep Learning & Optical Character Recognition
Sep 06, 2020
Anastasiia Mishchuk | Applying Kaggle to Research | Learning ML | CTDS.Show #97
Sep 03, 2020
Dima Damen | Action & Video Recognition | Epic-Kitchens-100 | CTDS.Show #96
Aug 30, 2020
Andrey Kurenkov | Lessons from Grad School | TheGradient.pub | Stanford Research | CTDS.Show #95
Aug 27, 2020
Fatma Guney | Unsupervised Learning of Multi-Frame Optical Flow w Occlusions | 3D CV | CTDS.Show #94
Aug 23, 2020
Ahmet Erdem | Trends Neuroimaging 7th place solo gold | Rapids.ai | CTDS.Show #93
Aug 20, 2020
Abhishek Thakur | Approaching (Almost) any ML Problem | CTDS.Show #92
Aug 16, 2020
Guanshuo Xu | Achieving #1 Rank in Kaggle Competitions Tier | Alaska2 Winning Sol | CTDS.Show #91
Aug 13, 2020
Aakash Nain | Tensorflow 2.0 | TF Add-Ons | Good API Designs | CTDS.Show #90
Aug 09, 2020
Rachael Tatman | Rasa, Kaggle | Conversational AI | CTDS.Show #89
Aug 06, 2020
Philipp Singer | Two Solo Gold Solutions: Jigsaw Toxic Comment, Tweet Sentiment | CTDS.Show #88
Aug 02, 2020
Rob Mulla | Trends Neuroimaging: 15th Pos & Ion Switching: 11th Pos Sol | CTDS.Show #87
Jul 30, 2020
Shaikat Galib | Tweet Sentiment Classification 13th Pos Gold Sol | CTDS.Show #86
Jul 26, 2020
Anniversary Episode: Celebrating 1 Year of CTDS.Show | CTDS.Show Kaggle Contest Results | Episode #85
Jul 23, 2020
Chris Deotte | Secrets to Becoming 4x Kaggle Grandmaster | Discussions and Notebooks #1 | CTDS.Show #84
Jul 19, 2020
Aman Madaan | Politeness Transfer: A tag and Generate Approach | fast.ai | CTDS.Show #83
Jul 16, 2020
Yifan Xie | Freelancing in Data Science | Kaggle DFDC Comp | CTDS.Show #82
Jul 12, 2020
Yuki Asano | Self-Supervision | Self-Labelling | Labelling Unlabelled videos from scratch w multi-modal self-supervision | CV | CTDS.Show #81
Jul 09, 2020
Parul Pandey | Journey to becoming Kaggle Grandmaster | CTDS.Show #80
Jul 05, 2020
Addison Howard, Maggie Demkin, Phil Culliton | Kaggle Team | CTDS.Show #79
Jul 02, 2020
Kaggle Legend, "Raddar": Darius Barušauskas | Becoming Comp Grandmaster in 1 year | AI in Medicine
Jun 28, 2020
Philipp Singer, Kaggle GM, Ranked #4 | Pos #8 Sol: Jigsaw Multilingual Toxic Comment Classification | CTDS.Show #77
Jun 25, 2020
Connor Shorten | Creating AI Content, Videos, | Henry AI Labs, Research & GANs | CTDS.Show #76
Jun 21, 2020
Rachel Thomas | Fast.ai | Applied Ethics | Top Down Learning | CTDS.Show #75
Jun 18, 2020
Dmitry Larko | H2O.ai | Kaggle, Applying Kaggle to Real world | AutoML | CTDS.Show #74
Jun 14, 2020
Maximilian Jeblick | Physics, Math and Data Science | Kaggle and H2O.ai | CTDS.Show #73
Jun 11, 2020
Andreas Mueller | Scikit-Learn | ML and Open Source | CTDS.Show #72
Jun 07, 2020
Martin Henze, "Heads Or Tails", First Kaggle Kernel GM | Astronomy | Story-Telling with Data
Jun 04, 2020
Interview with Yauhen Babakhin | Kaggle, Computer Vision and AutoML | CTDS.Show
May 31, 2020
Birthday Special AMA: Answering Questions from my ML Heroes | CTDS.News Launch
May 27, 2020
Emmanuel Ameisen | Building Machine Learning Powered Apps
May 24, 2020
Eli Stevens, Luca Antiga, and Thomas Viehmann | Deep Learning with PyTorch
May 22, 2020
Goku Mohandas | MadeWithML | AI Research | Healthcare | Education
May 22, 2020
Dmitry Danevskiy | Google Quest Q&A Labelling Comp: Winning Sol | Becoming Kaggle Grandmaster
May 14, 2020
Hamel Husain | Fastpages, Open Source | ML at Github | fastai
May 10, 2020
Robert Bracco | Learning to Learn | Approaching Fast.ai Materials, Kaggle & Blogging
May 07, 2020
Pablo Samuel Castro | ML Research, Google Brain & Creative AI | Learning ML w the community | LatinX
May 03, 2020
Daniel Bourke | Learning to Learn | Creating AI Content | Fitness & Machine Learning
Apr 30, 2020
Interview w Ines Montani | Spacy, NLP & Open Source Frameworks | Explosion.ai, Thinc.ai & Prodi.gy
Apr 26, 2020
Suzana Ilić | Democratising AI w Communities | Machine Learning Tokyo | Inclusivity in AI
Apr 23, 2020
CEO of Decision.ai: Dan Becker | What does it take to become a Data Scientist? | Kaggle Learn & Data Science Portfolio
Apr 19, 2020
Interview w Mark Landry | Data Science, Kaggle, H2O.ai | AutoML
Apr 16, 2020
Interview with Dmytro Mishkin | Computer Vision Research | Kaggle, ML & Education
Apr 12, 2020
SharpestMinds Team on Learning to Learn | Data Science, Startups & Hiring
Apr 09, 2020
Interview w Sylvain Gugger | fast.ai: The new Framework & course | FastBook & Research at fast.ai
Apr 05, 2020
Interview w Erin LeDell | H2O-AutoML & H2O.ai | Open Source | RLadies & WiMLDS Community
Apr 02, 2020
Interview with Russ Wolfinger | Statistics, Data Science & Kaggle | NFL Big Data Bowl #14 Pos Sol
Mar 29, 2020
Interview with Sergey Kolesnikov | Catalyst: PyTorch Framework for DL & RL | Open Source, Soft. Engg & Community
Mar 26, 2020
Interview with "Inversion": Walter Reade | Data Science at Kaggle | Becoming a Data Scientist & Kaggle Grandmaster
Mar 22, 2020
Interview with Parul Pandey | Getting Started with Data Science & Blogging | Women in Data Science
Mar 19, 2020
Interview with ChristOf Henkel | Google Quest Q&A Labelling Comp 2nd Pos Sol | Rapids.ai & Kaggle
Mar 15, 2020
Interview w John Miller | NFL 1st and Future: Analytics Winning Sol | "Real World Data Sci" & Kaggle
Mar 12, 2020
Interview with Tarin Clanuwat | Classical Japanese Literature & ML | Kuzushiji recognition kaggle comp
Mar 08, 2020
06: fast.ai Lesson-6 CNN Deep Dive; Ethics | fast.ai 2019 & Things Jeremy Howard says to do
Mar 07, 2020
01 fast.ai Lesson-1 Image Classification | fast.ai 2019 & Things Jeremy Howard says to do
Mar 07, 2020
00 fast.ai 2019 Summaries & Things Jeremy Howard says to do
Mar 07, 2020
03: fast.ai Lesson-3 Multi-label; SGD from scratch | fast.ai 2019 & Things Jeremy Howard says to do
Mar 07, 2020
02: fast.ai Lesson-2 Production & SGD From Scratch | fast.ai 2019 & Things Jeremy Howard says to do
Mar 07, 2020
04: fast.ai Lesson-4 NLP:Tabular Data; Recsys | fast.ai 2019 & Things Jeremy Howard says to do
Mar 07, 2020
05: fast.ai Lesson 5: Backprop; Neural Nets from scratch | fast.ai 2019 & Things Jeremy Howard says to do
Mar 07, 2020
07: fast.ai Lesson-7 ResNet; U-Net; GANs | fast.ai 2019 & Things Jeremy Howard says to do
Mar 07, 2020
08: Where to go from here, General fast.ai advice
Mar 07, 2020
Interview with Marios Michailidis | What does it take to become #1 on Kaggle | DSB 2019, 14th Pos Sol
Mar 05, 2020
Interview with fast.ai hero: Radek Osmulski | Fast.ai, Learning to Learn | Machine Learning, Kaggle & Blogging
Mar 01, 2020
Interview with Dr. Ashrith Barthur | Cyber-Security & Anti-Money Laundering | Applied AI & H2O AI
Feb 27, 2020
Interview with Sebastian Raschka | Statistics, Open Source & ML Research | Python for ML Book
Feb 23, 2020
Navdeep Gill | Software Engineering & Data Science | Machine Learning Interpretability | Open Source
Feb 20, 2020
Interview with Zachary Mueller | Fast.ai: The course and New Library | SGs and Top Down Learning
Feb 16, 2020
Interview with Sr. Director of Product at H2O.ai: Patrick Hall | Machine Learning, H2O.ai & Machine Learning Interpretability
Feb 13, 2020
"Anokas": Mikel Bober-Irizar | Becoming The Youngest Kaggle Grandmaster | ML For Japanese Literature | Kaggle
Feb 09, 2020
The Story of Kaggle & Kaggle's Evolution | Interview with the CEO of Kaggle: Anthony Goldbloom
Feb 06, 2020
Interview with Jason Antic | DeOldify | Fast.ai & NoGAN | Machine Learning & Software Engineering
Feb 02, 2020
Rohan Rao | Numbers, Data Science & Kaggle | ASHRAE - Great Energy Predictor 2nd Pos Sol
Jan 30, 2020
Dmitry Gordeev & Philipp Singer | What does it take to win a Kaggle Comp? | NFL Data Bowl Win Sol
Jan 26, 2020
Kaggle Legend: Gilberto Titericz | Giba, Former #1 | Data Science & Kaggle
Jan 23, 2020
Interview with Leland Wilkinson | Grammar of Graphics | Open Source, Statistics & Software Dev
Jan 19, 2020
Interview with Even Oldridge | Applied Research, Top Down Learning & Fast.ai | NVIDIA & Rapids.ai
Jan 16, 2020
Interview with x2 Kaggle GM: Dr. Olivier Grellier | Kaggle, Data Science & H2O.ai
Jan 13, 2020
Eugene Khvedchenya | Kaggle, Computer Vision & Best Code Practises | Severstal Steel, 4th Pos Sol
Jan 09, 2020
Interview with Arno Candel | AutoML | Physics | H2O.ai | CTDS.Show
Dec 12, 2019
Interview with Jeremy Howard | fast.ai | Kaggle | Machine Learning Research
Dec 08, 2019
DistilBERT | Research at Hugging Face | NLP and Open Source | Interview with Victor Sanh
Dec 05, 2019
Kaggle Discussions Rank #1, x2 Grandmaster: Dr. Jean Francois Puget | IEEE-CIS Comp 2nd Pos Sol
Nov 21, 2019
Medalling in all Entered Kaggle Comp | IEEE-CIS Comp 6th Pos Sol | Interview with Dr Philipp Singer
Nov 04, 2019
Predicting Molecular Prop Kaggle Comp 2nd Place Sol | Interview with Kaggle Master Andres Torrubia
Nov 01, 2019
DeepMind & AlphaGo | Deep Learning Research | Swift For Tensorflow | Interview with Dr. Marc Lanctot
Oct 27, 2019
Swift For Tensorflow | Software Engineering Internship at Google | Interview with Bart Chrazaszcz
Oct 27, 2019
Boris Dorado Interview | Gold Medalling in First Kaggle Comp | Predicting Molecular Prop Kaggle Comp Solution
Oct 21, 2019
Chip Huyen Interview: Machine Learning Interviews | MOOCS and Deep Learning at NVIDIA
Oct 18, 2019
Generative Deep Learning, Technical Writing & Data Science Consulting | Interview with David Foster
Oct 15, 2019
Hugging Face, Transformers | NLP Research and Open Source | Interview with Julien Chaumond
Oct 02, 2019
Producing a Chainsmokers Remix with AI (MusicAutobot), DAWNBench & fast.ai | Interview with Andrew Shaw
Sep 28, 2019
Medical Science, Open Source and AI | Interview with Dr. Judy Gichoya
Sep 08, 2019
"And the Bit Goes Down", Deep Learning Research, Research at FAIR | Interview with Pierre Stock
Sep 05, 2019
Deep Learning Applied to Audio, Self Studying ML | Interview with fast.ai fellow Robert Bracco
Sep 01, 2019
MuseNet, OpenAI and Deep Learning Research: Interview with Christine Payne
Aug 25, 2019
Interview with the Leader of mlcourse.ai, Dr. Yury Kashnitsky | Chai Time Data Science
Aug 23, 2019
Albumentations Framework: a fast image augmentations library | Interview with Dr. Vladimir Iglovikov
Aug 19, 2019
NVIDIA's DALI Library, Image Augmentations Discussion: Interview with James Dellinger
Aug 15, 2019
Interview with Kaggle Kernels Grandmaster #1: Artgor | Andrew Lukyanenko
Aug 12, 2019
Interview with Kaggle Kernels GM: Shivam Bansal
Aug 08, 2019
Deep Learning Research, Hardware, Kaggle | Interview with Tim Dettmers
Aug 04, 2019
Data Science for Good: City of LA Kaggle Winning Solution Interview with Kaggle Kernels Grandmaster Shivam Bansal
Aug 01, 2019
Interview with CEO of SharpestMinds, Edouard Harris | Chai Time Data Science
Jul 28, 2019
Interview with Kaggle Master, ML Engineer: Ryan Chesler | Chai Time Data Science
Jul 25, 2019
Kaggle Triple Grandmaster, Abhishek Thakur Interview
Jul 21, 2019
Chai Time Data Science Launch Announcement
Jul 20, 2019