Tokyo Machine Learning Kitchen

Make Every Day Machine Learning Fun

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April 12, 2018, 19:00

ML Kitchen

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?

ML Kitchen について

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？

…などなど、スキルの高いMLエンジニアのトークを聴きながら、おいしい軽食も楽しんでいただけます！

スケジュール ・ Schedule

  • 19:00 Doors open
  • 19:20 Welcome and introduction by Leszek
  • Suzana Ilić Text-based Affective Computing: How machines read emotions
  • 19:50 –BREAK for FOOD and DRINKs–
  • Lightning talks:
    • Alameen Najjar 10 things you need to know before you apply machine learning to satellite images
    • Van Huy 3 Challenges in Customer Feedback Classification
    • Chie Hayashida How should we manage our experiments?
  • 21:00 –Networking time!–
  • 22:00 –CLOSING TIME–

場所 ・ Venue

クックパッド株式会社
東京都渋谷区恵比寿4-20-3 恵比寿ガーデンプレイスタワー12F
※ JR山手線 恵比寿駅より 徒歩約10分

登壇者/発表タイトル ・ Speaker / Title

Suzana Ilić Text-based Affective Computing: How machines read emotions

Suzana Ilic is a PhD Candidate at Leopold Franzens University of Innsbruck, Austria. Most recently, she completed a half-year research stay in Natural Language Processing at the National Institute of Informatics (Tokyo, Japan). Her background is in Applied and Computational Linguistics, with a research focus on Affective Computing and Sentiment Analysis.

Alameen Najjar 10 things you need to know before you apply machine learning to satellite images

Currently Alameen leads the data unit at Axelspace corporation. He holds a PhD in Computer vision & Machine learning from the University of Hokkaido, Japan. He is mainly interested in applying machine learning to open geospatial data.

Van Huy 3 Challenges in Customer Feedback Classification

Van Huy is doing Machine Learning and developing new services at Cookpad R&D. He graduated from The University of Tokyo with a background in Speech Recognition. Currently, he is interested in Text Classification and Dialogue Systems.

Chie Hayashida How should we manage our experiments?

Chie Hayashida is a machine learning engineer at Cookpad.Inc. She holds a master’s degree in computer engineering from NAIST, with a background in signal processing. Currently, she promotes machine learning infrastructure, and scalable recommender systems.

対象

機械学習・研究開発及び、そのサービス活用方法に興味のある方

注意事項

  • 名刺を1枚お持ちいただくようにお願いいたします。
  • 内容は予告なく変更される場合がございます。
  • 対象外の方には参加をご遠慮いただく場合がございます。
  • 飲食のみを目的としたご応募・ご来場はご遠慮ください。
  • キャンセルされる場合はイベントの3日前までにお願いいたします。

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