{"href":"http://player.captivate.fm/services/oembed?url=http%3A%2F%2Fplayer.captivate.fm%2Fepisode%2F96ff419e-31d2-4dba-ab35-628d0a763392","version":"1.0","provider_name":"Captivate.FM","provider_url":"https://www.captivate.fm","width":600,"height":200,"type":"rich","html":"","title":"Anthony Goldbloom \u2014 How to Win Kaggle Competitions","description":"Anthony Goldbloom is the founder and CEO of Kaggle. In 2011 & 2012, Forbes Magazine named Anthony as one of the 30 under 30 in technology. In 2011, Fast Company featured him as one of the innovative thinkers who are changing the future of business.\n\nHe and Lukas discuss the differences in strategies that do well in Kaggle competitions vs academia vs in production. They discuss his 2016 Ted talk through the lens of 2020, frameworks, and languages.\n\nTopics Discussed:\n0:00 Sneak Peek\n0:20 Introduction\n0:45 methods used in kaggle competitions vs mainstream academia\n2:30 Feature engineering\n3:55 Kaggle Competitions now vs 10 years ago\n8:35 Data augmentation strategies\n10:06 Overfitting in Kaggle Competitions\n12:53 How to not overfit\n14:11 Kaggle competitions vs the real world\n18:15 Getting into ML through Kaggle\n22:03 Other Kaggle products\n25:48 Favorite under appreciated kernel or dataset\n28:27 Python & R\n32:03 Frameworks\n35:15 2016 Ted talk though the lens of 2020\n37:54 Reinforcement Learning\n38:43 What\u2019s the topic in ML that people don\u2019t talk about enough?\n42:02 Where are the biggest bottlenecks in deploying ML software?\n\nCheck out Kaggle: https://www.kaggle.com/\nFollow Anthony on Twitter: https://twitter.com/antgoldbloom\nWatch his 2016 Ted Talk: https://www.ted.com/talks/anthony_goldbloom_the_jobs_we_ll_lose_to_machines_and_the_ones_we_won_t\n\nVisit our podcasts homepage for transcripts and more episodes!\nwww.wandb.com/podcast\n\n Get our podcast on Soundcloud, Apple, and Spotify!\nSoundcloud: https://bit.ly/2YnGjIq\nApple Podcasts: https://bit.ly/2WdrUvI\nSpotify: https://bit.ly/2SqtadF\n\nWe started Weights and Biases to build tools for Machine Learning practitioners because we care a lot about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about these building tools has been the conversations with these ML practitioners and learning about the interesting things they\u2019re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it!\n\n\nWeights and Biases:\nWe\u2019re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions.\n* Blog: https://www.wandb.com/articles\n* Gallery: See what you can create with W&B - https://app.wandb.ai/gallery\n* Join our community of ML practitioners working on interesting problems - https://www.wandb.com/ml-community \n\n\nHost: Lukas Biewald - https://twitter.com/l2k\n\nProducer: Lavanya Shukla - https://twitter.com/lavanyaai\n\nEditor: Cayla Sharp - http://caylasharp.com/","thumbnail_width":300,"thumbnail_height":300,"thumbnail_url":"https://artwork.captivate.fm/c32a40cc-3636-4fdb-ae36-a5b494ae160d/artworks-lo5o0m2hyudrreag-pp9vuq-t3000x3000.jpg"}