Reading log: Reinforcement Learning by Python

Table of Contents

Introduction

I read the following book to study a fundamental of Reinforcement Learning.

機械学習スタートアップシリーズ　Ｐｙｔｈｏｎで学ぶ強化学習　入門から実践まで (ＫＳ情報科学専門書)

This article is about my thoughts on this book and a memo about the contents.

Reading log: Engineering Deep Learning from scratch

Table of Contents

Introduction

I read the following book to study a fundamental of Deep Learning.

ゼロから作るDeep Learning ―Pythonで学ぶディープラーニングの理論と実装

This article is about my thoughts on this book and a memo about the contents.

Momentum shift analysis of Table tennis game ~Winning Rate Simulation~

敗者を勝者に変える卓球戦術ノート (卓球王国ブックス)

Table of Contents

Introduction

I have started Table tennis game analysis wrote the following article before.
www.eureka-moments-blog.com
My goal of this analysis is visualizing a momentum shift of game and predicting come-from-ahead loss. In this article, I tried to create a winning rate simulation and introduce about it in detail.

Reference

I created the simulation by referring to the following articles.

ishigentech.hatenadiary.jp

datatennis.net

限られた卓球の試合データから追加データを自動計算してみた

スポーツを10倍楽しむ統計学 (DOJIN選書)

目次

背景・目的

最近では深層学習などを駆使したスポーツのデータ分析が非常に
盛り上がっていますが、自分も趣味である卓球をテーマに何か
データ分析をしてみたくなりました。
その第一歩として、今回は限られたデータから追加でデータを
自動計算させる事にトライしてみたので紹介します。

Fundamentals of Classification by Supervised Learning ~2 dimensional input~

Table of Contents

Introduction

I released the following article about 1 dimensional classification by supervised learning.
www.eureka-moments-blog.com
In this article, I wrote a memo about 2 dimensional classification into 2 or 3 classes. And then, I referred to the following book.

Pythonで動かして学ぶ！あたらしい機械学習の教科書 第2版 (AI & TECHNOLOGY)

Author

researchmap.jp

GitHub

Sample codes and any other related files are released at the following GitHub repository.
github.com

Fundamentals of Classification by Supervised Learning ~1 dimensional input~

Table of Contents

Introduction

This is my studying log about machine learning, supervised classification. I referred to a following book.

Pythonで動かして学ぶ！あたらしい機械学習の教科書 第2版 (AI & TECHNOLOGY)

I extracted some important points and some related sample python codes and wrote them as memo. In particular, this article focuses on 2 class classification with 1 dimensional input.

Author

researchmap.jp

GitHub

Sample codes and any other related files are released at the following GitHub repository.
github.com

SLAM Beginner's Program ~Input/Output~

Table of Contents

Introduction

I studied SLAM refer to the following book. I'm introducing my studying log in dividing into multiple articles. In this article, I wrote an system configuration of SLAM sample program.

Reference

SLAM入門: ロボットの自己位置推定と地図構築の技術