MATLAB & Simulink


Data Analytic, Data Modeling and Machine Learning with MATLAB

- Learn to perform exploratory and confirmatory analysis and Monte Carlo simulations on the Data

- Learn to find natural patterns in Data

- Learn to build classification models

- Learn to improve and simplify machine learning models by reducing dimensionality of a data set

- Learn to create and train neural networks for clustering and predictive modeling

New Features

  • Machine Learning Apps to select training data more efficiently in the Classification Learner and Regression Leaner Apps

  • Nonlinear Classification for Big Data

Course Highlights

The four-day hands-on course focuses on data analytics and machine learning techniques in MATLAB® using functionality within Statistics and Machine Learning Toolbox™ and Deep Learning Toolbox™. The course demonstrates the use of appropriate MATLAB and Statistics and Machine Learning Toolbox functionality throughout the analysis process; from importing and organizing data, to exploratory analysis, to confirmatory analysis and simulation as well as the use of unsupervised learning to discover features in large data sets and supervised learning to build predictive models. Examples and exercises highlight techniques for visualization and evaluation of results. Topic include:

·       Managing data

·       Calculating summary statistics

·       Visualizing data

·       Fitting distributions

·       Performing tests of significance

·       Performing analysis of variance

·       Fitting regression models

·       Reducing data sets

·       Generating random numbers and performing simulation

·       Organizing and preprocessing data

·       Clustering data

·       Creating classification and regression models

·       Interpreting and evaluating models

·       Simplifying data sets

·       Using ensembles to improve model performance



Techsource Systems is
Mathworks Sole and Authorised Distributor and Training Partner

Upcoming Program

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Who Should Attend

Engineers, researchers, scientist, and managers, who are involved in the data analytic, data modeling and designing of intelligent systems that can automatically produce models which can analyze bigger, more complex data and deliver faster and more accurate results.


Attended Comprehensive MATLAB training or having knowledge and experience in using MATLAB, knowledge of basic statistics.

Course Outline

The course consists of two parts.

Quick Overview of MATLAB and Relevant Toolboxes

Part 1: Statistical Methods in MATLAB

Part 2: Machine Learning with MATLAB


Discussion and Round Up

* The sequence of the topics may change and does not affect the course quality
* Participants are welcomed to discuss with the trainer prior to the course on the topics covered and their specific requirements.  Our training can also be customised as a private training for your company.