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...
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...
Statistics and Machine Learning Toolbox™提供各种工具,可用于访问、预处理和可视化数据;提取特征;训练和优化模型;并准备用于部署的模型。典型的工作流程从访问、清理和预处理数据开始,为提取特征做准备。该工具箱支持各种广泛使用的分类、回归和聚类算法,并通过以下方式简化模型构建中具挑战性的部分:点按式应用程序,...
Thomas Sonar - 3000 Years of Analysis_ Mathematics in History and Culture-Birkhuser (2020) 393 p. Tate Paulette - In the Land of Ninkasi_ A History of Beer in Ancient Mesopotamia-Oxford University Press (2024) 459 p. Sundram S., Malviy R., Rao GSN.K. (ed.) - Metals in Med...
Statistics and Machine Learning Toolbox™ provides functions and apps to describe, analyze, and model data. You can use descriptive statistics, visualizations, and clustering for exploratory data analysis, fit probability distributions to data, generate random numbers for Monte Carlo simulations, and ...
1. 工具箱简单说明。统计与机器学习工具箱; 2. 8046页的PDF文档下载。MathWorks的关于该工具箱的超详细用户手册:Statistics and Machine Learning Toolbox User's Guide。 统计与机器学习工具箱 MathWorks公司有很多属于机器学习分支的软件包,提供用于数据分析的高质量算法以及用于可视化图形工具。这些软件包可以相互集成...
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
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。
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...