Random Facts club is a podcast for things useless for your work
Random Facts Club
Claim This Podcastby Aki Ariga
6 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇯🇵
Podcast Overview
Random Facts club is a podcast for things useless for your work
Language
🇯🇵
Publishing Since
4/30/2019
1 verified contact email on file for Random Facts Club
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
November 12, 2022
6. お金を払っても「サービス」してもらえない！ (tahkosan)
<h2 id="関連リンク">関連リンク</h2> <ul> <li><a href="https://www.twitch.tv/tahkosan">Tahkosan - Twitch</a></li> <li><a href="https://www.twitch.tv/tansan_miz">さこ君 - Twitch</a></li> <li><a href="https://www.eiken.or.jp/ielts/">IELTS 公式サイト</a></li> <li><a href="https://amzn.to/3UO9U7Q">IELTS 17 General Training Student’s Book with Answers with Audio with Resource Bank</a></li> <li><a href="https://www.siggraph.org/">ACM SIGGRAPH</a></li> <li><a href="https://www.20thcenturystudios.jp/movies/avatar2">アバター：ウェイ・オブ・ウォーター</a></li> </ul> <p>番組の感想、ご要望は <a href="https://twitter.com/search?q=%23rfclub">#rfclub</a> または<a href="https://forms.gle/uNwoA5EDWSepAkMXA">フォーム</a>までお願いします。</p>
April 6, 2020
5. 「弱くてニューゲーム」学び続けるための守破離 (shiumachi)
<h2 id="関連リンク">関連リンク</h2> <ul> <li><a href="https://open-c.jp/">OpenCollector</a></li> <li><a href="https://twitter.com/moriyoshit">Moriyoshi Koizumi</a></li> <li><a href="https://twitter.com/kmizumar">Kiyoshi Mizumaru</a></li> <li><a href="https://amzn.to/2JrWbAW">超予測力 不確実な時代の先を読む10カ条</a></li> <li><a href="https://shiumachi.hatenablog.com/entry/2019/12/09/070000">超予測力: 未来を予測する技術を学べる本</a></li> <li><a href="https://amzn.to/2UwOTlM">レガシーコードからの脱却 ―ソフトウェアの寿命を延ばし価値を高める9つのプラクティス</a></li> <li><a href="https://shiumachi.hatenablog.com/entry/2020/03/24/170000">ルミノソジャパン合同会社を退職しました</a></li> <li><a href="https://shiumachi.hatenablog.com/entry/2020/01/26/174818">今年こそは自宅で運動を始めたい人のためのFreeleticsガイド(2020年版)</a></li> <li><a href="https://www.nhk.jp/p/ts/K1L8KXP824/">みんなで筋肉体操</a></li> <li><a href="https://amzn.to/2USwTkH">リングフィット アドベンチャー</a></li> <li><a href="https://twitter.com/hiroki_niinuma">新沼大樹</a></li> <li><a href="https://amzn.to/3dYiiNd">パワーブロック SP50 (23kg×2) 可変式ダンベル 9段階</a></li> <li><a href="https://amzn.to/39IIJmL">GoPro HERO8 Black</a></li> <li><a href="https://shiumachi.hatenablog.com/entry/2020/04/06/090000">株式会社オープンコレクターに転職しました</a></li> </ul>
December 28, 2019
4. 予測モデルの「モニタリング」 (hurutoriya, overs_5121)
<h2 id="関連リンク">関連リンク</h2> <ul> <li><a href="https://speakerdeck.com/hnakagawa/merukarixie-zhen-jian-suo-niokeru-amazon-eks-falsehuo-yong-shi-li-to-purodakutoniokeruedgeai-technologyfalsezhan-wang">メルカリ写真検索における Amazon EKS の活用事例と プロダクトにおけるEdgeAI technologyの展望</a></li> <li><a href="https://www.school.ctc-g.co.jp/columns/nakai2/nakai267.html">第67回 Federated Learning：モバイルデバイスを用いた分散学習技術（パート1）</a></li> <li><a href="https://speakerdeck.com/dkumazaw/client-side-deep-learning-at-mercari">Client-side deep learning at Mercari</a></li> <li><a href="https://arxiv.org/abs/1812.03443">FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search</a></li> <li><a href="https://tech.mercari.com/entry/2018/04/24/164919">マルチモーダルモデルによる不正出品の検知</a></li> <li><a href="https://www.bryanwhiting.com/2018/07/semantic-versioning-for-data-science-models/">Semantic Versioning for Data Science Models</a></li> <li><a href="https://ja.looker.com/">Looker</a></li> <li><a href="https://www.kubeflow.org/">Kubeflow</a></li> <li><a href="https://github.com/kubeflow/katib">kubeflow/katib</a></li> <li><a href="https://static.googleusercontent.com/media/research.google.com/ja//pubs/archive/46180.pdf">Google Vizier: A Service for Black-Box Optimization (PDF)</a></li> <li><a href="https://labs.spotify.com/2019/12/13/the-winding-road-to-better-machine-learning-infrastructure-through-tensorflow-extended-and-kubeflow/">The Winding Road to Better Machine Learning Infrastructure Through Tensorflow Extended and Kubeflow</a></li> <li><a href="https://mlflow.org/">MLflow - A platform for the machine learning lifecycle</a></li> <li><a href="https://www.tensorflow.org/tfx?hl=ja">TensorFlow Extended (TFX)</a></li> <li><a href="https://blog.japantaxi.co.jp/2019/11/20/5133">Netflix社のMLOpsの事例を紹介します</a></li> <li><a href="https://metaflow.org/">Metaflow</a></li> <li><a href="https://link.medium.com/ZCE1dEyVI2">Open-sourcing Polynote: an IDE-inspired polyglot notebook</a></li> <li><a href="https://careers.mercari.com/jp/job-categories/engineering">Mercari careers</a></li> </ul>
6 total episodes available
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