生活中很多场合需要用到分类,比如新闻分类、病人分类等等。 本文介绍朴素贝叶斯分类器(Naive Bayes classifier),它是一种简单有效的常用分类算法。 一、病人分类的例子 让我从一个例子开始讲起,你会看到贝叶斯分类器很好懂,一点都不难。 某个医院早上收了六个门诊病人,如下表。 症状 职业 疾病 打喷嚏 护士 感冒 ...
随笔分类 -Algorithm/Machine Learning 12下一页 图像处理中的 Gaussina Blur 和 SIFT 算法 摘要:SIFT(Scale-Invariant Feature Transform)算法是一种用于图像处理中的局部特征提取方法, 具有尺度、旋转和光照不变性, 通过对图像进行不同尺度的高斯模糊生成多组图像并从中提取特征实现阅读全文 ...
经典问题:clustering, dimensionality reduction and association rule learning.(聚类、降维、规则学习) 经典算法:the Apriori algorithm andk-Means.(这个专用名词就不翻译了) 3. Semi-Supervised Learning(半监督学习) 顾名思义,半监督学习意味着训练数据有一部分有标签,而一些没有,一般而言,当训练数据量过少时,监...
In machine learning, there’s something called the “No Free Lunch” theorem, which essentially states that not every problem can be solved by the same machine learning algorithm— a set of instructions that helps machines complete tasks, especially identifying patterns and making predictions. As a...
相机好不清楚(自用) 几种度量空间距离的方式: PCA (Principle component analysis) LDA(linear discriminant analysis) K-NN(k-NearestNeighbor) LLE(Locally Linear Embedding) MDS/IsoMap 测地线 LPP(localit…
“A program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.” This means that a machine learning algorithm attempts to approximate a function f by analyzing...
Machine Learning in Action:KNN Algorithm 概述 对于分类问题,最主要的任务就是找到对应数据合适的分类。而机器学习的另一项任务就是回归,比如CTR预测之类的。ml算法按照有无label可以分为有监督学习和无监督学习,对于无监督学习的算法比较经典的有聚类算法,有监督的相对来说较多,回归类算法基本都是的。按照参数有可以...
Learn what a machine learning algorithm is and how machine learning algorithms work. See examples of machine learning techniques, algorithms, and applications.
Still, you need to know, which of them to choose, when to use them, what parameters to take into consideration, and how to test the ML algorithms. We’ve composed this guide to help you with this specific problem in a pragmatic and easy way. What Is a Machine Learning Algorithm? The...
machine learningartificial intelligenceexplainable artificial intelligenceethics of artificial intelligencetrustWe discuss the concepts of algorithm, machine learning and artificial intelligence. We start by noting that different definitions of algorithm may serve differe...