March 2019
Intermediate to advanced
576 pages
20h 51m
Portuguese (Portugal, Brazil)
Content preview from Mãos à Obra: Aprendizado de Máquina com Scikit-Learn e TensorFlow
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PCA | 219
Isso indica que 84,2% da variância do conjunto de dados está ao longo do primeiro eixo
e 14,6% situa-se ao longo do segundo eixo. Isso deixa menos de 1,2% para o terceiro eixo,
por isso é razoável supor que ele provavelmente carrega pouca informação.
Escolhendo o Número Certo de Dimensões
Em vez de escolher arbitrariamente o número de dimensões a serem reduzidas, é preferível
escolher o número de dimensões que adicionam uma porção suficientemente grande de
variância (por exemplo, 95%). A menos que, claro, você esteja reduzindo a dimensionali-
dade para a visualização de dados — nesse caso, reduza a dimensionalidade para 2 ou 3.
O código ...
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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.