##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…
##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…
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…
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…
机器学习系统设计(Building Machine Learning Systems with Python)- Willi Richert Luis Pedro Coelho 总述 本书是 2014 的,看完以后才发现有第二版的更新,2016.建议阅读最新版,有能力的建议阅读英文版,中文翻译有些地方比较别扭(但英文版的书确实是有些贵). 我读书的目的:泛读主要是想窥视他人思考的方式. 作者写书的目标:面向初学者,但有时间看看也不错.作者说"我希望它能激发你的好奇心,并足以让你保持渴望,不断探索…
https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644 How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…
Machine Learning - Andrew Ng - Coursera Contents 1 Notes 1 Notes What is Machine Learning? Two definitions of Machine Learning are offered. Arthur Samuel described it as: "the field of study that gives computers the ability to learn without being exp…
Machine Learning by Andrew Ng | Stanford University | Coursera https://www.coursera.org/learn/machine-learning Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has g…
Andrew NG的Machine learning课程地址为:https://www.coursera.org/course/ml 在Linear Regression部分出现了一些新的名词,这些名词在后续课程中会频繁出现: Cost Function Linear Regression Gradient Descent Normal Equation Feature Scaling Mean normalization 损失函数 线性回归 梯度下降 正规方程 特征归一化 均值标准化 Mode…
coursera上面Andrew NG的Machine learning课程地址为:https://www.coursera.org/course/ml 我曾经使用Logistic Regression方法进行ctr的预测工作,因为当时主要使用的是成型的工具,对该算法本身并没有什么比较深入的认识,不过可以客观的感受到Logistic Regression的商用价值. Logistic Regression Model A. objective function 其中z的定义域是(-I…
CS229 Machine Learning Stanford Course by Andrew Ng Course material, problem set Matlab code written by me, my notes about video course: https://github.com/Yao-Yao/CS229-Machine-Learning Contents: supervised learning Lecture 1 application field, pre-…
