Beyond Feature Engineering and HPO | by Jean-François Puget | Kaggle Days Paris

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Kaggle

Kaggle

Күн бұрын

Jean-François Puget
"Beyond feature engineering and HPO"
Kaggle Days Paris held in January 2019 gathered over 200 participants to meet, learn and code with Kaggle Grandmasters, and compete in our traditional offline competition.
This edition is presented by LogicAI in partnership with Kaggle and sponsored by LVMH, Christian Dior, Sephora, and Louis Vuitton.
Kaggle Days are a global series of offline events for seasoned data scientists and Kagglers created by LogicAI and Kaggle.
About the presenter:
Jean-François is Kaggle Competitions Grandmaster, and top Kaggle Discussion Grandmaster CPMP. He is currently the technical lead for IBM Watson Machine Learning offerings. He is an alumni of Ecole Normale Supérieure rue d'Ulm, Paris. He holds a PhD in machine learning from Paris IX University and has spent his entire career turning scientific ideas into innovative software. He has published over 80 scientific papers in refereed journals and top AI conferences. Jean-Francois joined IBM as part of the ILOG acquisition and since then has held various technical executive positions, including CTO for IBM Analytics Solutions.
About LogicAI:
LogicAI as a creator of Kaggle Days is a sole partner of Kaggle to build global offline community.
LogicAI is a boutique Data Science consultancy company owned by Kaggle fans and Grandmasters. As a global company, they do custom end-to-end AI and Data Science development projects as well as trainings for C-level management and tech teams.
Want help with your AI projects or want to work with LogicAI to create AI strategies? Simply apply at logicai.io!
Follow LogicAI online:
Visit the WEBSITE: logicai.io/
Like LogicAI on FACEBOOK: / logicai-147154915962100
Check out our BLOG: logicai.io/blog/
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Follow Kaggle Days online:
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About the presenter:
Jean-Francois Puget (IBM, #43 on Kaggle) shared his tricks for feature engineering and hyperparameter optimization. This included general tips and an overview of more competition-specific ideas from Kaggle. The main objective was to use feature engineering as possible (even if you fail at times), including using deep learning to generate new features and to avoid ensembling too early in the competition.
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About Kaggle:
Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help.
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Пікірлер: 3
@loremipsum7513
@loremipsum7513 5 жыл бұрын
This is gold! Full of new insight and idea!
@JordiRosell
@JordiRosell Ай бұрын
11:18 the tip about monotonical improvement is an awesome tip. Thanks!
@EngRiadAlmadani
@EngRiadAlmadani 3 жыл бұрын
Great
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