Data Science

What’s New in MATLAB for Data Science

MATLAB makes data science easy and accessible for everyone, even if you’re not an expert. Check out the latest features for designing and building machine learning models, working with big data, and deployment.

Developing Machine Learning Models

Related Products: Statistics and Machine Learning Toolbox, Text Analytics Toolbox

 

Working with Big Data

  • tall Arrays for Big Data: Manipulate and analyze data that is too big to fit in memory.
  • Big Data Algorithms: Perform support vector machine (SVM) and Naive Bayes classification, create bags of decision trees, and fit lasso regression on out-of-memory data.
  • Big Data Plots: Visualize out-of-memory data using plot, scatter, and binscatter.
  • Deploying Big Data Applications: Run applications on your desktop or Spark using tall arrays or the MATLAB API for Spark.

Related Products: Statistics and Machine Learning Toolbox, MATLAB Compiler

 

Managing and Preprocessing Data

Operationalizing Analytics

  • Code Generation: Generate C code for prediction by using discriminant analysis, k-NN, SVM regression, regression tree ensemble, and Gaussian process regression models.
  • RESTful API and JSON: Develop clients for MATLAB Production Server in any programming language that supports HTTP.
  • Server Management Dashboard: Configure and manage multiple server instances using a web-based interface.

Related Products: MATLAB CoderStatistics and Machine Learning Toolbox, MATLAB Production Server

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