Help us understand the problem. What is going on with this article?

機械学習のための数学入門【情報理論編】受講メモ(2019/08/29)

概要

【初心者歓迎】機械学習のための数学入門【情報理論編】 2019/08/29開講分

カリキュラム

  • 確率変数
  • 期待値・分散・共分散
  • 周辺確率
  • 条件付き確率と独立
  • ベイズ則
  • 情報量
  • シャノンエントロピー
  • KLダイバージェンス

学べたこと

  • 基本的な概念や数式の意味などを知ることができた。
  • なんとなく知っていた程度の用語の理解を深めることができた。
  • 演習がよかった。手を動かし計算してみることで数学を活用することの実感を得られた。
Why do not you register as a user and use Qiita more conveniently?
  1. We will deliver articles that match you
    By following users and tags, you can catch up information on technical fields that you are interested in as a whole
  2. you can read useful information later efficiently
    By "stocking" the articles you like, you can search right away
Comments
Sign up for free and join this conversation.
If you already have a Qiita account
Why do not you register as a user and use Qiita more conveniently?
You need to log in to use this function. Qiita can be used more conveniently after logging in.
You seem to be reading articles frequently this month. Qiita can be used more conveniently after logging in.
  1. We will deliver articles that match you
    By following users and tags, you can catch up information on technical fields that you are interested in as a whole
  2. you can read useful information later efficiently
    By "stocking" the articles you like, you can search right away