Andrew Ng Machine Learning

「这是我参与11月更文挑战的第30天，活动详情查看：2021最后一次更文挑战」 Notes of Andrew Ng’s Machine Learning —— (16) Recommender Sy

「这是我参与11月更文挑战的第29天，活动详情查看：2021最后一次更文挑战」 Notes of Andrew Ng’s Machine Learning —— (15) Anomaly Detect

「这是我参与11月更文挑战的第28天，活动详情查看：2021最后一次更文挑战」 Notes of Andrew Ng’s Machine Learning —— (14) Dimensionality

Notes of Andrew Ng’s Machine Learning (13) Unsupervised Learning 本文主要介绍无监督学习、K-Means 聚类算法。

这是我参与8月更文挑战的第29天，活动详情查看：8月更文挑战 Notes of Andrew Ng’s Machine Learning —— (11) Machine Learning System

Andrew Ng’s ML course 10: Advice for Applying Machine Learning 在应用机器学习模型的过程中通用的 模型的评估、诊断、分析和改进的建议

# Notes of Andrew Ng’s Machine Learning —— (9) Neural Networks: Learning Cost Functon & Backpropagat

Notes of Andrew Ng’s Machine Learning Neural Networks: Representation Examples and Intuitions A Neu

The Problem of Overfitting Cost Function Regularized Linear Regression Gradient Descent Normal Equat

Notes of Andrew Ng’s Machine Learning (6) Classification Logistic Regression Decision Multiclass

Notes of Andrew Ng’s Machine Learning (5) Octave Tutorial compatible with matlab

Notes of Andrew Ng’s Machine Learning (4) Normal Equation Normal Equation V.S. Gradient Descent代码实

Andrew Ng’s Machine Learning (3) Multivariate Linear Regression Multiple Features Gradient Descent

Notes of Andrew Ng’s Machine Learning —— (2) Linear Algebra Review. Matrices and Vectors Multiplicat

Notes of Andrew Ng’s Machine Learning Linear Regression with One Variable Model Representation Notat

Introduction Welcome to Machine Learning Grew out of work in AI New capability for computers