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SciPy Japan 2020
イベント概要
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開始日時
2020年10月30日 09:00
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終了日時
2020年10月31日 18:00
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会場
オンライン会場
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対象
機械学習に興味がある方
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定員
無制限
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参加料
一般:5,000円 学生:2,500円
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主催
Enthought Inc,.
SciPy Japan 2020はオンラインカンファレンスで 、日本で成長しているScientific Pythonコミュニティを結集させ、最新のプロジェクトを紹介し、参加者が熟練したユーザーや開発者から学ぶことを目的としています。
スケジュール
10/30
Time (JST) |
Track 1 |
Track 2 |
9:00-12:30 |
Tutorial: Pythonで機械学習コンペティション「Kaggle」をはじめよう - Shotaro Ishihara (Beginner) (JP) |
Tutorial: Introduction to Conda for (Data) Scientists - David Pugh (Beginner) (EN) |
12:30-13:30 |
(Break) |
|
13:30-14:20 |
Keynote: Ryo Yoshida, Machine Learning Technologies for Accelerating Discovery of Innovative Materials (JP) |
|
14:30-15:00 |
Demystifying Self-Supervised Learning for Visual Recognition - Sayak Paul (EN) |
Translation Project of Mayavi2 documents - Tetsuo Koyama (EN) |
15:00-15:30 |
Apache Arrow 1.0 - A cross-language development platform for in-memory data - Kouhei Sutou (JP) |
dask-image: distributed image processing for large data - Genevieve Buckley, John Kirkham (EN) |
15:30-15:45 |
(Break) |
|
15:45-16:15 |
CuPy: A Numpy-compatible Library for high performance computing with GPU - Masayuki Takagi (EN) |
Hyperparameters--auto-tuning to make performance sing with Optuna - Crissman Loomis (EN) |
16:15-16:45 |
Image Segmentation via Level Set Machine Learning - Matt Hancock (EN) |
PySnooper - Never use print for debugging again - Ram Rachum (EN) |
16:45-17:00 |
(Break) |
|
17:00-18:00 |
Lightning Talks |
10/31
Time (JST) |
Track 1 |
Track 2 |
9:00-12:30 |
Tutorial: (D)Ask Me Anything About Munging, Wrangling and Preprocessing Data at Scale - Ramon Perez (Beginner) (EN) |
Tutorial: Building a Scalable AI Chatbot - From Regex to Deep Learning - Asir Saeed (Intermediate) (EN) |
12:30-13:30 |
(Break) |
|
13:30-14:20 |
Keynote: Kaoru Kawamoto, The Business Supportive Data Science Work Approach (JP) |
|
14:30-15:00 |
TFX: Open-Source Production ML Pipelines With TensorFlow - Robert Crowe (EN) |
Building Machine Learning Pipelines with Kubeflow - William Horton (EN) |
15:00-15:30 |
半導体プロセス/材料開発への機械学習適用 - Naoki Yoshii, Kenji Matogawa (JP) |
napari, a fast n-dimensional array viewer for scientific Python - Juan Nunez-Iglesias (EN) |
15:30-15:45 |
(Break) |
|
15:45-16:15 |
Process Informatics (PI) Technologies for Accelerating Development of Semiconductor Crystal Growth Process - Daisuke Uematsu (JP) |
Approximate vector search at scale, with application to image search - Wakana Nogami, Sandeep Subramanian, David Cournapeau, Satoshi Kondo (EN) |
16:15-16:45 |
Building a Scalable AI Chatbot - From Regex to Deep Learning - Max Frenzel (EN) |
PyNUFFT: experiences and reflections on high-performance biomedical imaging reconstruction - Jyh-Miin Lin (EN) |
16:45-17:00 |
(Break) |
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17:00-18:00 |
Lightning Talks |