All Episodes

Top Kagglers Panel on Best Practises for Training Models

Announcement + Amed Coulibaly | How to become Kaggle Competitions Grandmaster | #159

Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150

Kathleen Walch, Ronald Schmelzer: AI Today Podcast, Creating AI Content: #137

ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136

"SentDex", Harrison Kinsley: YouTube, Entrepreneurship and NNFS.io #135

Clair Sullivan: Graphs and the Neo4J Ecosystem #134

Emil Wallner: Art & ML, Being Internet Taught, Creating ML Content #133

Andrada Olteanu: Learning Data Science, Journey to becoming Kaggle Master #132

Laura Leal Taixé: Computer Vision & Research at the Dynamic Vision & Learning Group #131

William Falcon: The PyTorch Lightning Story #130

Katy Warr: Fooling AI, Strengthening Deep Neural Networks Book, Adversarial Attacks #129

Laura Fink: Journey to becoming Kaggle Kernels Grandmaster #128

Barr Moses: Data Reliability, Data Downtime, MonteCarlo Data #127

David Luebke: Graphics Research at NVIDIA, Training GANs with Limited Data #126

Torsten Sattler: CV, Mixed Reality, Localisation & Robotics #125

Zachary Mueller: Learning, Applying and contributing to Fastai #124

Arsha Nagrani: Multi-Modal Research, Speaker Diarisation, VoxCeleb #123

Ekaterina Kochmar: Automated Language Teaching & Assessment, NLP, Korbit.ai #122

Richard Craib: The Numerai Story, Building the World's last Hedge Fund #121

Michael Kennedy: Talk Python and Python Bytes Podcast, Creating Pythonic Content #120

Charlie Boyle: Pushing the Envelope of Super Computing, NVIDIA DGX A100, Hardware Engg at NVIDIA #119

Tim Dettmers: Personal Side of Academia, How to pick your Grad School, RTX 3000 FAQ #118

"Beluga", Gabor Fodor: Cornell Birdcall 10 Pos Solo Gold Sol #117

Luis Serrano: AI Content Creation, Teaching ML, Grokking ML #116

Jacqueline Nolis & Emily Robinson: Building a Career in Data Science #115

Catherine Nelson & Hannes Hapke: Building ML Pipelines #114

Jeff Heaton: Creating AI Content, Kaggle and Teaching #113

Ken Jee: Creating AI Content, Sports Analytics, Data Science Community #112

Philipp Singer & Christof Henkel: Google Landmark Recognition 1st Pos Sol #111

Thomas Wolf: NLP at Hugging Face, Transformers #110

Ian Ozsvald: High Performance Python, Teaching & Consulting in ML #109

Tim Dettmers: Which RTX 3000 GPU to get for DL? 3090 FAQ | CTDS.Show #108

Kun Hao Yeh: SIIM ISIC Melanoma 14 Pos Sol | Journey to Becoming Kaggle Master | CTDS.Show #107

Jose Fernandez Portal & Francisco Ingham | Approaching Fast.ai | ML Community | CTDS.Show #106

Habib Bukhari & Igor Zubarev | Kaggle PANDA Challenge: 2nd Pos Sol | Gold Medalling on Kaggle | CTDS.Show #105

Marie-Anne Lachaux | Unsupervised Translation of Programming Languages | FAIR | CTDS.Show #104

Lavanya Shukla | Journey from coding websites at age 10 to Applying ML | CTDS.Show #103

Alexey Grigorev | Machine Learning BookCamp | ML at Scale | Data Science at OLX | CTDS.Show

Bryan Catanzaro | Research at NVIDIA | RTX 3000 | Deep Learning | CTDS.Show #101

Sudalai Rajkumar, SRK | Journey to becoming 3x Kaggle GM | Datasets | CTDS.Show #100

Sara Hooker | Research at Google AI | Interpretability and Model Compression | CTDS.Show #99

Adrian Rosebrock | The PyImageSearch Story | OpenCV, Deep Learning & Optical Character Recognition

Anastasiia Mishchuk | Applying Kaggle to Research | Learning ML | CTDS.Show #97

Dima Damen | Action & Video Recognition | Epic-Kitchens-100 | CTDS.Show #96

Andrey Kurenkov | Lessons from Grad School | TheGradient.pub | Stanford Research | CTDS.Show #95

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

Ahmet Erdem | Trends Neuroimaging 7th place solo gold | Rapids.ai | CTDS.Show #93

Abhishek Thakur | Approaching (Almost) any ML Problem | CTDS.Show #92

Guanshuo Xu | Achieving #1 Rank in Kaggle Competitions Tier | Alaska2 Winning Sol | CTDS.Show #91

Aakash Nain | Tensorflow 2.0 | TF Add-Ons | Good API Designs | CTDS.Show #90

Rachael Tatman | Rasa, Kaggle | Conversational AI | CTDS.Show #89

Philipp Singer | Two Solo Gold Solutions: Jigsaw Toxic Comment, Tweet Sentiment | CTDS.Show #88

Rob Mulla | Trends Neuroimaging: 15th Pos & Ion Switching: 11th Pos Sol | CTDS.Show #87

Shaikat Galib | Tweet Sentiment Classification 13th Pos Gold Sol | CTDS.Show #86

Anniversary Episode: Celebrating 1 Year of CTDS.Show | CTDS.Show Kaggle Contest Results | Episode #85

Chris Deotte | Secrets to Becoming 4x Kaggle Grandmaster | Discussions and Notebooks #1 | CTDS.Show #84

Aman Madaan | Politeness Transfer: A tag and Generate Approach | fast.ai | CTDS.Show #83

Yifan Xie | Freelancing in Data Science | Kaggle DFDC Comp | CTDS.Show #82

Yuki Asano | Self-Supervision | Self-Labelling | Labelling Unlabelled videos from scratch w multi-modal self-supervision | CV | CTDS.Show #81

Parul Pandey | Journey to becoming Kaggle Grandmaster | CTDS.Show #80

Addison Howard, Maggie Demkin, Phil Culliton | Kaggle Team | CTDS.Show #79

Kaggle Legend, "Raddar": Darius Barušauskas | Becoming Comp Grandmaster in 1 year | AI in Medicine

Philipp Singer, Kaggle GM, Ranked #4 | Pos #8 Sol: Jigsaw Multilingual Toxic Comment Classification | CTDS.Show #77

Connor Shorten | Creating AI Content, Videos, | Henry AI Labs, Research & GANs | CTDS.Show #76

Rachel Thomas | Fast.ai | Applied Ethics | Top Down Learning | CTDS.Show #75

Dmitry Larko | H2O.ai | Kaggle, Applying Kaggle to Real world | AutoML | CTDS.Show #74

Maximilian Jeblick | Physics, Math and Data Science | Kaggle and H2O.ai | CTDS.Show #73

Andreas Mueller | Scikit-Learn | ML and Open Source | CTDS.Show #72

Martin Henze, "Heads Or Tails", First Kaggle Kernel GM | Astronomy | Story-Telling with Data

Interview with Yauhen Babakhin | Kaggle, Computer Vision and AutoML | CTDS.Show

Birthday Special AMA: Answering Questions from my ML Heroes | CTDS.News Launch

Emmanuel Ameisen | Building Machine Learning Powered Apps

Eli Stevens, Luca Antiga, and Thomas Viehmann | Deep Learning with PyTorch

Goku Mohandas | MadeWithML | AI Research | Healthcare | Education

Dmitry Danevskiy | Google Quest Q&A Labelling Comp: Winning Sol | Becoming Kaggle Grandmaster

Hamel Husain | Fastpages, Open Source | ML at Github | fastai

Robert Bracco | Learning to Learn | Approaching Fast.ai Materials, Kaggle & Blogging

Pablo Samuel Castro | ML Research, Google Brain & Creative AI | Learning ML w the community | LatinX

Daniel Bourke | Learning to Learn | Creating AI Content | Fitness & Machine Learning

Interview w Ines Montani | Spacy, NLP & Open Source Frameworks | Explosion.ai, Thinc.ai & Prodi.gy

Suzana Ilić | Democratising AI w Communities | Machine Learning Tokyo | Inclusivity in AI

CEO of Decision.ai: Dan Becker | What does it take to become a Data Scientist? | Kaggle Learn & Data Science Portfolio

Interview w Mark Landry | Data Science, Kaggle, H2O.ai | AutoML

Interview with Dmytro Mishkin | Computer Vision Research | Kaggle, ML & Education

SharpestMinds Team on Learning to Learn | Data Science, Startups & Hiring

Interview w Sylvain Gugger | fast.ai: The new Framework & course | FastBook & Research at fast.ai

Interview w Erin LeDell | H2O-AutoML & H2O.ai | Open Source | RLadies & WiMLDS Community

Interview with Russ Wolfinger | Statistics, Data Science & Kaggle | NFL Big Data Bowl #14 Pos Sol

Interview with Sergey Kolesnikov | Catalyst: PyTorch Framework for DL & RL | Open Source, Soft. Engg & Community

Interview with "Inversion": Walter Reade | Data Science at Kaggle | Becoming a Data Scientist & Kaggle Grandmaster

Interview with Parul Pandey | Getting Started with Data Science & Blogging | Women in Data Science

Interview with ChristOf Henkel | Google Quest Q&A Labelling Comp 2nd Pos Sol | Rapids.ai & Kaggle

Interview w John Miller | NFL 1st and Future: Analytics Winning Sol | "Real World Data Sci" & Kaggle

Interview with Tarin Clanuwat | Classical Japanese Literature & ML | Kuzushiji recognition kaggle comp

08: Where to go from here, General fast.ai advice

07: fast.ai Lesson-7 ResNet; U-Net; GANs | fast.ai 2019 & Things Jeremy Howard says to do

06: fast.ai Lesson-6 CNN Deep Dive; Ethics | fast.ai 2019 & Things Jeremy Howard says to do

05: fast.ai Lesson 5: Backprop; Neural Nets from scratch | fast.ai 2019 & Things Jeremy Howard says to do

04: fast.ai Lesson-4 NLP:Tabular Data; Recsys | fast.ai 2019 & Things Jeremy Howard says to do