Sometimes, the easiest thing to do is to just find the distance between two objects. We just need to find some distance metric, compute the pairwise distances, ...

Image processing is an important topic in which clustering has some application.

线性回归是基本的统计和机器学习技术之一。经济，计算机科学，社会科学等等学科中，无论是统计分析，或者是机器学习，还是科学计算，都有很大的机会需要用到线性模型。建议先学习它，然后再尝试更复杂的方法。...

In the Using ridge regression to overcome linear regression's shortfalls recipe, we discussed the connections between the constraints imposed by ridge regressio...

The least absolute shrinkage and selection operator (LASSO) method is very similar to ridge regression and LARS. It's similar to Ridge Regression in the sense t...

Once you start using ridge regression to make predictions or learn about relationships in the system you're modeling, you'll start thinking about the choice of ...

In this recipe, we'll get our first taste of stochastic gradient descent. We'll use it for regression here, but for the next recipe, we'll use it for classifica...

In this recipe, we'll use the Gaussian process for regression. In the linear models section,we saw how representing prior information on the coefficients was po...

Truncated Singular Value Decomposition (SVD) is a matrix factorization technique that factors a matrix M into the three matrices U, Σ, and V. This is very simil...

Data imputation is critical in practice, and thankfully there are many ways to deal with it.In this recipe, we'll look at a few of the strategies. However, be a...