Statistics and Machine Learning Toolbox™ 提供了用于描述数据、分析数据以及为数据建模的函数和 App。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,生成进行蒙特卡罗模拟的随机数,以及执行假设检验。回归和分类算法允许您使用分类和回归学习器以交互方式,或使用 AutoML 以编程方式从...
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...
以迭代方式探查和创建新特征,并选择有助于优化性能的特征。通过以下方法降维:将现有特征变换为新的预测变量并丢弃变幻后描述性较弱的特征,或使用自动特征选择。 概率分布 使用分布拟合器交互式进行分布拟合 进行连续和离散概率分布拟合,使用统计绘图来评估拟合优度,计算 40 多种不同分布的概率密度函数和累积分布函数。
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.
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 Toolbox는 통계와 머신러닝을 사용해 데이터를 나타내고, 분석하고, 모델링하는 함수 및 앱을 제공합니다.