2.supervised learning “right answers”given supervised learning:数据集中的每个数据都是正确的答案 Regression Question : predict continuous valued output (Regression Question) key : predict ;continuous data;回归问题 Classification Problem: discrete valued output;分类问题 a lot of features 如何处理无穷...
In the research about machine learning, classification is the problem of identifying to which of a set of categories a new observation belongs, on the basis of a training set of data containing observations whose category membership is known. In this study, the procedure and principle of ...
1.regression的outcome是连续值,classification的outcome是离散值,可以认为classification是一种特殊的regression嘛? 不能这样简单认为,一个区别是regression的outcome是有大小关系的,而classification的outcome是没有大小关系的,比如三个类别不能简单用0,1,2,因为这样隐含了他们有距离上的远近,0-2要比1-2远,但classificati...
Because regularization causes J(θ)J(θ) to no longer be convex, gradient descent may not always converge to the global minimum (when λ>0λ>0, and when using an appropriate learning rate αα. 正则逻辑回归和正则线性回归都是凸的,因此梯度下降仍会收敛到全局最小值。编程...
How to handle Imbalanced Classification Problems in machine learning? Introduction If you have spent some time in machine learning and data science, you would have definitely come across imbalanced class distribution. This is a scenario where the number of observations belonging to one class is signif...
Machine learning: Classification What is Classification? Linear regression assumes that the reponse variable is quantitative variable. But in many situations, the response could be qualitative variable, such as the status of marriage, gender, and so on. Usually qualitative variables are referred to as...
Machine Learning: Classification 2 A quick review on logsitc regression Logistic regression tries to model the relationship between predictors and the conditional disrtibution of the responseYgiven the predictors X using logistic function. logistic regression also has several assumptions...
Supervised and unsupervised machine learning methods make a classification decision based on feature inputs.
In supervised learning, we are given a data set and already know what our correct output should look like, having the idea that there is a relationship between the input and the output. Supervised learning problems are categorized into "regression" and "classification" problems. In a regression...
台大李宏毅Machine Learning 2017Fall学习笔记 (5)Classification: Probabilistic Generative Model,程序员大本营,技术文章内容聚合第一站。