JUSE-StatWorks/V5 Machine Learning Edition R2 is a machine learning software developed based on the requests of leading manufacturing companies in Japan.
"JUSE-StatWorks/V5 Machine Learning Edition R2" is software that allows users to utilize machine learning methods without coding, using a computer. It includes a wide range of techniques from data cleaning to data visualization, information summarization as "unsupervised learning" (kernel principal component analysis), stratification (Gaussian mixture analysis), classification, prediction, outlier detection (one-class SVM), causal analysis (glasso), and as "supervised learning," regularized logistic regression analysis for predicting binary (e.g., good/bad) or multi-class outcomes, "k-nearest neighbors" for estimating the class of target data based on the majority vote of the k nearest data points, and "data splitting" to divide analysis data into training and test data, among other methods.
By using this software, even beginners (non-engineers) can leverage machine learning for business applications.
【Features】
■ Machine learning analysis in a personal use environment
■ Integration with other JUSE-StatWorks/V5 products
■ No scripts required, allowing technicians to perform data analysis themselves
■ Visualization of the analysis process and parameter adjustment
*For more details, please refer to the PDF materials or feel free to contact us.
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