[C2P3] Andrew Ng - Machine Learning

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[C2P3] Andrew Ng - Machine Learning

##Advice for Applying Machine Learning Applying machine learning in practice is not always straightforward. In this module, we share best practices for applying machine learning in practice, and discuss the best ways to evaluate performance of the le…

Andrew Ng Machine Learning 专题【Linear Regression】

此文是斯坦福大学,机器学习界 superstar - Andrew Ng 所开设的 Coursera 课程:Machine Learning 的课程笔记. 力求简洁,仅代表本人观点,不足之处希望大家探讨. 课程网址:https://www.coursera.org/learn/machine-learning/home/welcome Week 3: Logistic Regression & Regularization 笔记:http://blog.csdn.net/ironyoung/ar…

Andrew Ng Machine Learning 专题【Logistic Regression & Regularization】

此文是斯坦福大学,机器学习界 superstar - Andrew Ng 所开设的 Coursera 课程:Machine Learning 的课程笔记. 力求简洁,仅代表本人观点,不足之处希望大家探讨. 课程网址:https://www.coursera.org/learn/machine-learning/home/welcome Week 2:Linear Regression with Multiple Variables笔记:http://blog.csdn.net/ironyoung…

[C2P2] Andrew Ng - Machine Learning

##Linear Regression with One Variable Linear regression predicts a real-valued output based on an input value. We discuss the application of linear regression to housing price prediction, present the notion of a cost function, and introduce the gradi…

Andrew Ng Machine learning Introduction

1. 机器学习的定义:Machine learning is programming computers to optimize a performance criterion(优化性能标准) using example data or past experience. 2. 监督学习(Supervised Learning):The term supervised learning refers to the fact that we gave the algorithm a data set…

[C2P1] Andrew Ng - Machine Learning

About this Course Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly i…