随笔分类 - machine learning
摘要:Logistic Regression Model 1. Cost Function We cannot use the same cost function that we use for linear regression because the Logistic Function will c
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摘要:Logistic Regression Model 1. Cost Function We cannot use the same cost function that we use for linear regression because the Logistic Function will c
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摘要:Classification and representation 1. Classification To attempt classification, one method is to use linear regression and map all predictions greater
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摘要:Computing Parameters Analytically 1 Normal Equation(正规方程) Gradient descent gives one way of minimizing J. Let’s discuss a second wayof doing so, this
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摘要:Multivariate Linear regression 1. Multiple Features Linear regression with multiple variables is also known as "multivariate linear regression". We no
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摘要:Parameter Learning 刚发现这儿的markdown似乎不支持latex公式,是我没正确打开么。。。。 1. Gradient Descent So we have our hypothesis function and we have a way of measuring how w
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摘要:Model and Cost Function 1. Model Representation To establish notation for future use, we’ll use x(i) to denote the “input”variables (living area in th
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摘要:Machine Learning 1. What is Machine Learning? Two definitions of Machine Learning are offered. Arthur Samuel described it as: "the field of study that
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