Tokyo Machine Learning Kitchen

Make Every Day Machine Learning Fun

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February 15, 2018, 19:00

Take over the world, with ML.

Whether you’re working on machine learning during the day or in your free time, take this opportunity to meet other researchers and engineers. Good chance to converge, add some noise to your neurons, network with your peers, get some knowledge transfer and go deeper into machine learning topics with interesting talks.

Wait… a Machine Learning event at Cookpad? The famous recipe sharing service company? What does machine learning have to do with cooking?

機械学習を業務に or 余暇に扱っている方は、ML Kitchen で是非他の研究者・エンジニアと交流しましょう！ML Kitchen は多くの ML 関係者が集い、刺激を受け、友達を増やし、知識を増やし、機械学習に関する話題を深く理解するチャンスです。

クックパッドで機械学習…？レシピで有名な会社では？機械学習と料理って関係あるの？

スケジュール

Schedule

  • 19:00 Doors open
  • 19:20 Welcome and introduction by Leszek
  • Keynote talk by Ashley Smart
  • 19:50 –BREAK for FOOD and DRINKs–
  • Lightning talks:
    • Cookiecutter Template for Data Scientists Working in Docker Containers by Takahiko Ito
    • NIPS 2017 Report by Yohei Kikuta
    • Kelner - serving your models by Leszek Rybicki
  • 21:00 –Networking time!–
  • 22:00 –CLOSING TIME–

登壇者/発表タイトル

Speaker / Title

Ashley Smart Keynote talk

Ashley is an engineer at Bloomberg. His talks are always breathtaking and show his passion for machine learning and love for mathematics and the beauty of data.

Takahiko Ito Cookiecutter Template for Data Scientists Working in Docker Containers

Received his Ph.D. in Engineering at the NAIST. He worked at Fast Search & Transfer as a NLP expert before joining Cookpad Inc.

博士 (工学)。ファストサーチ＆トランスファ社において自然言語処理を利用したコンポーネント開発に取り組む。現在、株式会社クックパッドで研究開発に従事。

Slides

Yohei Kikuta NIPS 2017 Report

Received his Ph.D in physics at KEK. He is working on new service developments and researches at Cookpad. Resume : https://github.com/yoheikikuta/resume

博士(理学)。クックパッドにて新規サービスの研究開発に従事している。経歴等 : https://github.com/yoheikikuta/resume

Slides

Leszek Rybicki Kelner - serving your models

Leszek does image recognition at Cookpad. With a background in machine learning theory and experience with user-facing systems, his motivation is that his work helps as many users as possible.

Slides

Meeting archive: