Talk given by Akira Shibata at Developer's Summit 2016, one of the largest conference for software developer's in Japan. Akira, Data Scientist at DataRobot, Inc, talked about the evolution of machine learning techniques, most notably the recent developments in DataRobot and TensorFlow.
DMMは日本で最大級の動画配信サービスを提供しています。
昨今はニーズの多様化と高品質への対応が急務となっており、動画配信基盤の刷新に取り組んでいます。モノリシックなシステムをマイクロサービス化すべく、Ruby on Rails?AngularJS?Go を利用しています。本セッションでは、それらのアーキテクトや開発フローについて判りやすく説明します。
基礎からわかる、機械学習のソフトウェアテストのへの適用例 - 「Bag Of Words」を使った「類似チケットの検索」Nozomi Ito
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This document discusses bag-of-words, a technique in natural language processing where a text is represented as the bag (multiset) of its words, disregarding grammar and even word order but keeping multiplicity. The document provides examples of how bag-of-words works by taking text samples and representing them as vectors of word counts. It also discusses how to calculate the similarity between two text samples represented as bag-of-words vectors using cosine similarity.