November 2017
Intermediate to advanced
328 pages
6h 51m
Japanese
Content preview from 入門 PySpark ―PythonとJupyterで活用するSpark 2エコシステム
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8.1
ディープラーニングとは何か
157
○
Recognizing Handwritten Digits and Characters（http://cs231n.stanford.edu/reports/
vishnu_final.pdf）
●
画像処理 画像内の点、辺、オブジェクトなどが特徴です。次に例を示します。
○
セミナー: Feature extraction by Andre Aichert（http://home.in.tum.de/~aichert/featurepres.
pdf）
○
University of Washington Computer Science & Engineering CSE455: Computer Vision
Lecture 6（https://courses.cs.washington.edu/courses/cse455/09wi/Lects/lect6.pdf）
特徴エンジニアリングとは、作成するモデルの定義に重要な特徴をこれらの中から選び出すことで
す。通常の場合、機械学習のモデルがうまく動作するようにドメイン知識を利用するプロセスが含まれ
ます。
特徴を考えることは難しく、時間がかかり、エキスパートの知識が求められます。「実践的な機
械学習」とは、基本的には特徴エンジニアリングなのです──
"Andrew Ng, Machine Learning and AI via Brain simulations"
（
http://helper ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.