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【机器学习】笔记5：Logistic Regression 逻辑斯蒂回归
Logistic RegressionReferencePreparationHyperplaneSquared Error (matrix form）BayesianNotations1. What is Logistic Regression?2. Why Logistic Regression ?3. How Logistic Regression?4.ReferencePreparat...原创 2019-10-28 21:25:26 · 357 阅读 · 0 评论 -
【机器学习】笔记4：SVM--Part1
linear SVM 1.Preface2.Reference3.Concept3.1 Hyperplane3.2 Distance5. Why SVM5.1 Hyperplane to Distance5.2 Objective Function5.21 Function 15.22 Function 25.22 Function 31.Preface本文不考虑任何实际操作中出现的问题（例...原创 2019-08-18 19:01:28 · 585 阅读 · 0 评论 -
【机器学习】笔记1：Machine Learning 基本术语与概念
文章目录Preface1. Machine Learning2. Notations2.1 假设空间Preface在学习林轩田老师的机器学习基石和技法课程中，发现有许多符号并不熟悉。偶然翻阅周志华老师的西瓜书，发现绪论部分作了详细解释，与轩田老师的课件中的符号表示习惯基本一致，特做此记录。1. Machine Learning2. Notations2.1 假设空间反映事件或者对象在...原创 2019-08-19 20:59:52 · 300 阅读 · 0 评论 -
Boosting
5.2 Boosting (Sequential) LearningBoosting is under the PAC learning model. It involves incrementally building an ensemble by training each new model instance to emphasize the training instances that...原创 2019-08-24 19:07:48 · 119 阅读 · 0 评论 -
【机器学习】笔记3：Perceptron 感知机
PLA1.Refence2.Concept2.1 Basic Notations2.2 The Learning Model3.WHY Perceptron1.Refence2.Concept2.1 Basic Notations H\ H H: the set of candidate formulas. D\ D D: data ⇒\Righ...原创 2019-10-13 15:47:11 · 768 阅读 · 0 评论 -
【机器学习】笔记6：Decision Tree 决策树
文章目录递归问题1.Decision Tree1.1 What is Decision Tree?1.2 Why Decision Tree?1.3 How Decision Tree?1.4 :Random Forest递归问题1、用较简单的问题来表示较复杂的问题。 2、不能产生自己调用自己的无穷序列。即必须要有一个是递归出去的出口。 1.Decision Tree1.1...原创 2019-09-03 16:17:36 · 1233 阅读 · 0 评论 -
【机器学习】笔记2：Types of Learning
Learning TypeReference1. Learning with Different Outspace1.1 Classification1.2 Regression1.3 Structured Learning1.4 ... and more types!2. Learning with Different Input Space2.1 Concrete Features2.2 R...原创 2019-09-20 13:10:20 · 430 阅读 · 0 评论