要解决房价预测问题,我们实际上是要将训练集“喂”给我们的学习算法,进而学习得到一个假设h,然后将我们要预测的房屋的尺寸作为输入变量输入给h,预测出该房屋的交易价格作为输出变量输出为结果。那么,对于我们的房价预测问题,我们该如何表达h? 一种可能的表达是h(x)=ax+b,...
它被称作监督学习是因为对于每个数据来说,我们给出了“正确的答案”,即告诉我们:根据我们的数据来说,房子实际的价格是多少,而且,更具体来说,这是一个回归问题。回归一词指的是,我们根据之前的数据预测出一个准确的输出值,对于这个例子就是价格,同时,还有另一种最常见的监督学习方式,叫做分类问题,当我们想要预测离...
In linear regression we have a training set like that shown here. Remember our notation M was the number of training examples, so maybe M=47. And the form of hypothesis, which we use to make prediction, is this linear function. To introduce a little bit more terminology, this and , the...
AI检测代码解析 1% Compute Costforlinear regression2%cost Function函数实现___利用矩阵操作进行!!3function J =computeCost(X, y, theta)45%Initialize some useful values6m = length(y); %number of training examples7J =0;89%Instructions: Compute the cost of a particular choice of theta10% You shou...
One Variable Linear Regression Supervised learning, unsupervised learning, parameter learning and model and cost functions. Introduction to Machine Learning: Supervised and Unsupervised Learning I would like to give full credits to the respective authors as these are my personal python notebooks taken ...
Linear regression on one variable
吴恩达机器学习第二章【Linear Regression with One Variable】(单变量线性回归) 文章目录 吴恩达机器学习第二章【Linear Regression with One Variable】(单变量线性回归) Cost Function【代价函数】 Cost Function - Intuition I【代价函数的直观理解I】 Cost Function - Intui...吴恩达...
Linear Regression with One Variable (a.k.a univariate linear regression) 在学习机器学习的过程中,我发现即使有代数和统计的基础,不靠具体的例子就想深入理解每个算法到底在干什么是比较困难的。在这份重新整理的笔记中,我会以案例开头,以加深对每个算法应用场景的了解。当然,数学推导还是不能少的。 Task: Give...
吴恩达-机器学习笔记-第二章单变量线性回归(Linear Regression with One Variable),参考:机器学习笔记:2.1模型表示ℎ代表学习算法的解决方案或函数也称为假设(hypothesis)这就是一个监督学习算法的工作方式,我们可以看到这里有我们的训练集里房屋价格,我们把它喂给
\text{temp}_{1}=\theta_{1}-\alpha\frac{\partial }{\partial \theta_{1}}J\left(\theta_{0},\theta_{1}\right) \theta_{0}=\text{temp}_{0} \theta_{1}=\text{temp}_{1} [Section 6] Gradient Descent Intuition [Section 7] Gradient Descent For Linear Regression ...