Young Blog

You still have lots more to work on.

Bayes

贝叶斯

什么是极大似然估计 贝叶斯决策         首先来看贝叶斯分类，我们都知道经典的贝叶斯公式：$P(y | x)=\frac{p(x | y) p(y)}{p(x)}$，其中：$p(y)$ 为先验概率，表示每种类别分布的概率；$p(x | y)$ 为类条件概率，表示在某种类别前提下，某事发生的概率；$P(y | x)$ 为...

Posted by Young on January 18, 2020

Clustering

聚类

相关概念 Clustering: the process of grouping a set of objects into classes of similar objects high intra-class similarity low inter-class similarity the commonest form of uns...

Posted by Young on January 15, 2020

Decision Tree

决策树

What is Decision Tree Decision trees, as the name implies, are trees of decisions. A decision tree is a tree where each node represents a feature(attribute), each link(branch) represents a de...

Posted by Young on January 14, 2020

Logistic Regression

逻辑回归

Linear Regression vs Logistic Regression Main difference between them is how they are being used The Linear Regression is used for solving Regression problems whereas Logistic Regre...

Posted by Young on January 11, 2020

Linear Regression

线性回归

线性回归的原理 线性回归的一般形式 LinearRegression fits a linear model with coefficients $w = (w1, …, wp)$ to minimize the residual sum of squares between the observed targets in the dataset, and the tar...

Posted by Young on January 8, 2020

Machine Learning Overview

机器学习概览

机器学习介绍 机器学习介绍：机器学习是什么，怎么来的，理论基础是什么，为了解决什么问题。 机器学习是什么? 什么是“学习”？学习就是人类通过观察、积累经验，掌握某项技能或能力。就好像我们从小学 习识别字母、认识汉字，就是学习的过程。而机器学习（Machine Learning），顾名思义， 就是让机器（计算机）也...

Posted by Young on January 7, 2020

FEATURED TAGS
machine learning python PyTorch tianchi
ABOUT ME

You still have lots more to work on.

✉️ 1102600515@qq.com