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Data Science and Machine Learning

Episode 8 of the Meets.fm podcast, hosted by hayata yamamoto, titled "Data Science and Machine Learning" was published on December 11, 2018 and runs 126 minutes.

December 11, 2018 ·126m · Meets.fm

0:00 / 0:00

keng000さんと機械学習とデータサイエンス、GPU、Teslaの話をしました # Reference - [オーディオテクニカUSBマイク](https://amzn.to/2ENNktN) - [thunderbolt3](https://www.apple.com/jp/thunderbolt/) - [API](https://ja.wikipedia.org/wiki/%E3%82%A2%E3%83%97%E3%83%AA%E3%82%B1%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%97%E3%83%AD%E3%82%B0%E3%83%A9%E3%83%9F%E3%83%B3%E3%82%B0%E3%82%A4%E3%83%B3%E3%82%BF%E3%83%95%E3%82%A7%E3%83%BC%E3%82%B9) - [Apache HTTP Server](https://ja.wikipedia.org/wiki/Apache_HTTP_Server) - [nginx](https://ja.wikipedia.org/wiki/Nginx) - [Go言語](https://ja.wikipedia.org/wiki/Go_(%E3%83%97%E3%83%AD%E3%82%B0%E3%83%A9%E3%83%9F%E3%83%B3%E3%82%B0%E8%A8%80%E8%AA%9E)) - [grumpy](https://github.com/google/grumpy) - [grumpyの速度](https://qiita.com/kotauchisunsun/items/db28d14f7f13fb29e5f9) - [データウェアハウス](https://ja.wikipedia.org/wiki/%E3%83%87%E3%83%BC%E3%82%BF%E3%82%A6%E3%82%A7%E3%82%A2%E3%83%8F%E3%82%A6%E3%82%B9) - [SQL](https://ja.wikipedia.org/wiki/SQL) - [ダッシュボード](https://boxil.jp/mag/a2896/) - [EDA](https://www.codexa.net/basic-exploratory-data-analysis-with-python/) - [Pandas](https://pandas.pydata.org/) - [過学習](https://ja.wikipedia.org/wiki/%E9%81%8E%E5%89%B0%E9%81%A9%E5%90%88) - [オッカムの剃刀](https://ja.wikipedia.org/wiki/%E3%82%AA%E3%83%83%E3%82%AB%E3%83%A0%E3%81%AE%E5%89%83%E5%88%80) - [サポートベクターマシン](https://ja.wikipedia.org/wiki/%E3%82%B5%E3%83%9D%E3%83%BC%E3%83%88%E3%83%99%E3%82%AF%E3%82%BF%E3%83%BC%E3%83%9E%E3%82%B7%E3%83%B3) - [ロジスティック回帰](https://ja.wikipedia.org/wiki/%E3%83%AD%E3%82%B8%E3%82%B9%E3%83%86%E3%82%A3%E3%83%83%E3%82%AF%E5%9B%9E%E5%B8%B0) - [KJ法](https://ja.wikipedia.org/wiki/KJ%E6%B3%95) - [W型問題解決モデル](https://www.slideshare.net/nishio/jeita) - [NVLink](https://www.nvidia.com/ja-jp/data-center/nvlink/) - [Scalable Link Interface(SLI)](https://ja.wikipedia.org/wiki/Scalable_Link_Interface) - [Preferred Networks](https://www.preferred-networks.jp/ja/) - [AllReduceアルゴリズム](https://research.preferred.jp/2018/07/prototype-allreduce-library/) - [NVLink Bridge](http://ascii.jp/elem/000/001/762/1762629/) - [3Way SLI Bridge](https://jp.msi.com/Graphics-card/3WAY-SLI-BRIDGE-KIT.html) - [Tesla V100](https://www.nvidia.com/ja-jp/data-center/tesla-v100/) - [PCI Express](https://ja.wikipedia.org/wiki/PCI_Express) - [Core i7 8700K](http://kakaku.com/item/K0001002085/) - [学習率の決め方](https://qiita.com/keng000/items/c50794fb7f029062bd0d) - [fast.ai](http://www.fast.ai/) - [piqcyさん](https://twitter.com/icoxfog417?lang=ja) - [スマートライティングセット](https://amzn.to/2ORDhZj) - [伊東屋](https://www.ito-ya.co.jp/) - [Tesla](https://www.tesla.com/jp/) - [回生ブレーキ](https://ja.wikipedia.org/wiki/%E5%9B%9E%E7%94%9F%E3%83%96%E3%83%AC%E3%83%BC%E3%82%AD) - [自動運転車 レベル](https://ja.wikipedia.org/wiki/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2%E8%BB%8A) - テスラのレベルは2らしいです - [Pixel3体験イベント](https://www.fashionsnap.com/article/2018-10-18/googlepixel-event/)

keng000さんと機械学習とデータサイエンス、GPU、Teslaの話をしました # Reference - [オーディオテクニカUSBマイク](https://amzn.to/2ENNktN) - [thunderbolt3](https://www.apple.com/jp/thunderbolt/) - [API](https://ja.wikipedia.org/wiki/%E3%82%A2%E3%83%97%E3%83%AA%E3%82%B1%E3%83%BC%E3%82%B7%E3%83%A7%E3%83%B3%E3%83%97%E3%83%AD%E3%82%B0%E3%83%A9%E3%83%9F%E3%83%B3%E3%82%B0%E3%82%A4%E3%83%B3%E3%82%BF%E3%83%95%E3%82%A7%E3%83%BC%E3%82%B9) - [Apache HTTP Server](https://ja.wikipedia.org/wiki/Apache_HTTP_Server) - [nginx](https://ja.wikipedia.org/wiki/Nginx) - [Go言語](https://ja.wikipedia.org/wiki/Go_(%E3%83%97%E3%83%AD%E3%82%B0%E3%83%A9%E3%83%9F%E3%83%B3%E3%82%B0%E8%A8%80%E8%AA%9E)) - [grumpy](https://github.com/google/grumpy) - [grumpyの速度](https://qiita.com/kotauchisunsun/items/db28d14f7f13fb29e5f9) - [データウェアハウス](https://ja.wikipedia.org/wiki/%E3%83%87%E3%83%BC%E3%82%BF%E3%82%A6%E3%82%A7%E3%82%A2%E3%83%8F%E3%82%A6%E3%82%B9) - [SQL](https://ja.wikipedia.org/wiki/SQL) - [ダッシュボード](https://boxil.jp/mag/a2896/) - [EDA](https://www.codexa.net/basic-exploratory-data-analysis-with-python/) - [Pandas](https://pandas.pydata.org/) - [過学習](https://ja.wikipedia.org/wiki/%E9%81%8E%E5%89%B0%E9%81%A9%E5%90%88) - [オッカムの剃刀](https://ja.wikipedia.org/wiki/%E3%82%AA%E3%83%83%E3%82%AB%E3%83%A0%E3%81%AE%E5%89%83%E5%88%80) - [サポートベクターマシン](https://ja.wikipedia.org/wiki/%E3%82%B5%E3%83%9D%E3%83%BC%E3%83%88%E3%83%99%E3%82%AF%E3%82%BF%E3%83%BC%E3%83%9E%E3%82%B7%E3%83%B3) - [ロジスティック回帰](https://ja.wikipedia.org/wiki/%E3%83%AD%E3%82%B8%E3%82%B9%E3%83%86%E3%82%A3%E3%83%83%E3%82%AF%E5%9B%9E%E5%B8%B0) - [KJ法](https://ja.wikipedia.org/wiki/KJ%E6%B3%95) - [W型問題解決モデル](https://www.slideshare.net/nishio/jeita) - [NVLink](https://www.nvidia.com/ja-jp/data-center/nvlink/) - [Scalable Link Interface(SLI)](https://ja.wikipedia.org/wiki/Scalable_Link_Interface) - [Preferred Networks](https://www.preferred-networks.jp/ja/) - [AllReduceアルゴリズム](https://research.preferred.jp/2018/07/prototype-allreduce-library/) - [NVLink Bridge](http://ascii.jp/elem/000/001/762/1762629/) - [3Way SLI Bridge](https://jp.msi.com/Graphics-card/3WAY-SLI-BRIDGE-KIT.html) - [Tesla V100](https://www.nvidia.com/ja-jp/data-center/tesla-v100/) - [PCI Express](https://ja.wikipedia.org/wiki/PCI_Express) - [Core i7 8700K](http://kakaku.com/item/K0001002085/) - [学習率の決め方](https://qiita.com/keng000/items/c50794fb7f029062bd0d) - [fast.ai](http://www.fast.ai/) - [piqcyさん](https://twitter.com/icoxfog417?lang=ja) - [スマートライティングセット](https://amzn.to/2ORDhZj) - [伊東屋](https://www.ito-ya.co.jp/) - [Tesla](https://www.tesla.com/jp/) - [回生ブレーキ](https://ja.wikipedia.org/wiki/%E5%9B%9E%E7%94%9F%E3%83%96%E3%83%AC%E3%83%BC%E3%82%AD) - [自動運転車 レベル](https://ja.wikipedia.org/wiki/%E8%87%AA%E5%8B%95%E9%81%8B%E8%BB%A2%E8%BB%8A) - テスラのレベルは2らしいです - [Pixel3体験イベント](https://www.fashionsnap.com/article/2018-10-18/googlepixel-event/)
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