Alan Lee

# Alan Lee

Natural Language Processing, Deep Learning, and Always Learning.

Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.

Windows10 64 位下安装 TensorFlow - 官方原生支持

TensorFlow 中的多层感知器（MLP）

TensorFlow 中的 Logistic Regression

sklearn 中 Logistics Regression 的 coef_ 和 intercept_ 的具体意义

《机器学习》学习笔记1——绪论 机器学习概述

Alan Lee
Always Learning
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