随笔分类 - ML/DL Notes
摘要：1. Anomaly Detection I'd like to tell you about a problem called Anomaly Detection. This is a reasonably commonly usetype machine learning. And one of
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摘要：1 K-means 1.1 Unsupervised Learning:Introduction In this video, I'd like to start to talk about clustering. This will be exciting, because this is our
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摘要：Machine Learning Week_7 Support Vector Machines。
1 Large Margin Classification
2 Kernels
3 SVMS In Practice
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摘要：Machine Learning Week_6 Adjust the Model. Evaluating a Learning Algorithm. Bias vs. Variance. Building a Spam classifier. Handing Skewed Data. Using Large Data sets
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摘要：Machine Learning Week_5 , Neural Networks: Learning, Cost Function and BackPropagation, Backpropagation in Pratice, Autonomous Driving
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摘要：0 Neural Networks: Representation Welcome to week 4! This week, we are covering neural networks. Neural networks is a model inspired by how the brain
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摘要：ML/DL Week 3. Classification and Representation, Logistic Regeression Model, Multiclass Classification, Solving The Problem of Overfitting.
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摘要：Machine Learning week_2,Multivariate Prameters Regression, Computing Parameters Analytically, Programming Assignment: Linear Regression.
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摘要：Machine Learning week_2, 编程环境介绍，编程环境安装，Matlab编程题目下载。
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摘要：Machine Learning Week_1 Linear Algebra Review 矩阵矩阵相乘，矩阵矩阵相乘的性质，矩阵的转置和矩阵的逆矩阵。
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摘要：Machine Learning Week_1 Linear Algebra Review, 矩阵和向量，矩阵之间的加法，scalar同矩阵和向量的乘法。矩阵和向量的乘法。
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摘要：本文系列内容是吴恩达老师的机器学习公开课的文本对应。需要具备英文，微积分，线性代数，程序设计的基础。总计11周。
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摘要：Machine Learning Week_1 Parameter Learning ，梯度下降，梯度下降的直观感受，将梯度下降应用于线性回归。
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摘要：Machine Learning Week_1 Model and Cost Function, 代价的函数的直观理解1， 代价函数的直观理解2.
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摘要：Machine Learning Week_1 Model and Cost Function, 线性回归的模型表示以及代价函数的初识。
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摘要：Machine Learning Week_1 Introduction, 谁是管理者助教？向你的同学们问好，常被问到的问题。
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摘要：Machine Learning Week_1 Introduction, 监督学习以及非监督学习的简介及示例。
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摘要：Machine Learning Week_1 Introduction, 欢迎来到本课程，什么是机器学习，如何应用讨论论坛？
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摘要：Machine Learning Week_1 Welcome, 欢迎来到机器学习课程。我们的课程尊重代码，所有代码必须经过本人编写，不许把代码传播给其他人，无论以任何方式！
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