相应的，在Statistics and Machine Learning Toolbox中提供用于执行受监督和无/非监督机器学习的方法。分类算法使用户可以将一个分类应变量建模为一个或多个预测元的函数。Statistics and Machine Learning Toolbox提供涵盖多种参数化和非参数化分类算法的应用程序和函数，如logistic回归、朴素贝叶斯、k近邻、SVM等。分类...
在Add-Ons Explorer中,搜索"Statistics and Machine Learning Toolbox"。 找到后,点击“安装”按钮进行下载和安装。 直接下载安装程序: 您也可以直接在MathWorks官方网站上搜索并下载Statistics and Machine Learning Toolbox的安装程序。 下载完成后,运行安装程序并按照提示完成安装。 安装过程中的注意事项: 确保您下...
Statistics and Machine Learning Toolbox 提供了一系列函数和 App,可用于数据描述、分析和建模。您可以使用描述性统计量、可视化和聚类进行探索性数据分析;对数据进行概率分布拟合;生成用于蒙特卡罗模拟的随机数,以及执行假设检验。借助工具箱提供的回归和分类算法,您可以基于数据进行推断并构建预测模型;您既可选择分类学习...
建议安装的 Toolbox : Econometrics Toolbox Statistics and Machine Learning Toolbox Symbolic Math Toolbox Optimization Toolbox Global Optimization Toolbox Curve Fitting Toolbox Parallel Computing Toolbox Financial Toolbox 如果安装后需要更改安装其它工具箱,可以再打开安装包,重新走一遍安装过程。 关于学习使用,...
Statistics and Machine Learning Toolbox™User's GuideR2017a 阅读了该文档的用户还阅读了这些文档 32 p. 2D Empirical transforms 4 p. 03_Signal Description 12 p. 3D Through-Wall Imaging with Unmanned Aerial Vehicles Using WiFi 4 p. 04_Package and Pinout 9 p. 05_Power Considerations ...
Statistics Toolbox Analyze and model data using statistics and machine learning 统计工具箱 使用统计和机器学习分析和建模数据.pdf,Statistics Toolbox Analyze and model data using statistics and machine learnin Statistics Toolbox™ provides statistical and
Statistics and Machine Learning Toolbox provides functions and apps to describe, analyze, and model data using statistics and machine learning.
Machine learning uses two types of techniques: supervised learning, which trains a model on known input and output data so that it can predict future outputs, and unsupervised learning, which finds hidden patterns or intrinsic structures in input data. ...
Statistics and Machine Learning Toolbox™ provides tools for accessing, preprocessing, and visualizing data; extracting features; training and optimizing models; and preparing models for deployment. The typical workflow begins with accessing, cleaning, and preprocessing your data in preparation for extract...