Building Machine Learning Solutions with MATLAB

Paths

Building Machine Learning Solutions with MATLAB

Authors: Justin Flett, Pratheerth Padman, Martin Burger

MATLAB is a popular choice for Machine Learning Engineers. It provides apps and toolboxes that are efficient in design, algorithm optimizations, and customization of machine... Read more

What You Will Learn

  • Getting Started with MATLAB
  • Performing Statistical Analysis with MATLAB
  • Performing Feature Engineering with MATLAB
  • Building Visualizations with MATLAB
  • Perform Predictive modeling with MATLAB

Pre-requisites

  • MATLAB Fundamentals
  • Data Analytics Literacy
  • Statistics
  • Machine Learning Literacy

Beginner

Get started with machine learning in MATLAB. The basics for using the interface and building data workflows will be covered.

Getting Started with Machine Learning Using MATLAB

by Justin Flett

Jul 14, 2020 / 1h 17m

1h 17m

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Description

MATLAB is a widely used programming language for statistical computing. In this course, Getting Started with Machine Learning Using MATLAB, you will learn foundational knowledge for understanding and implementing data science and machine learning problems with MATLAB. First, you will learn the basics of the MATLAB user interface. Next, you will learn how to build a simple MATLAB script. Then, you will learn how to import data into the MATLAB software. Finally, you will learn how to implement an entire data science workflow within MATLAB. When you are finished with this course, you will have the skills and knowledge of data science and machine learning basics with MATLAB.

Table of contents
  1. Course Overview
  2. Understanding Installation and Licensing for MATLAB
  3. Introducing the MATLAB User Interface
  4. Building a Simple MATLAB Script
  5. Importing Data into MATLAB
  6. Implementing a Data Science Workflow with MATLAB

Intermediate

Build your understanding of what data visualizations are, why they’re important, and how to build and customize them from your own datasets using MATLAB. Explore and preprocess data for machine learning.

Performing Feature Engineering with MATLAB

by Justin Flett

Jul 27, 2020 / 54m

54m

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Description

MATLAB is a widely used programming language for statistical computing. In this course, Performing Feature Engineering with MATLAB, you will learn foundational knowledge for understanding and implementing data science and feature engineering problems with MATLAB. First, you will learn what feature engineering is and why it can be useful to us. Next, you will learn how to organize and clean raw data within MATLAB. Then, you will learn how to preprocess text and image data with MATLAB. Finally, you will learn how extract features for analysis within MATLAB. When you are finished with this course, you will have the skills and knowledge of data science and feature engineering basics with MATLAB.

Table of contents
  1. Course Overview
  2. Introducing and Understanding Feature Engineering
  3. Organizing and Cleaning Data with MATLAB
  4. Preprocessing Data with MATLAB
  5. Extracting Features for Analysis

Building Visualizations with MATLAB

by Pratheerth Padman

Sep 25, 2020 / 41m

41m

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Description

There has been an explosion of data and abundance of data sources post-2010. If you’re a data analyst or are involved in data-driven decision making for your organization, understanding the data you’re provided with or obtained becomes crucial.

In this course, Building Visualizations with MATLAB, you'll focus on a key component in understanding your data - data visualization - and MATLAB has plenty of options to do just that.

First, you’ll start off with what data visualization is and why you need it. Next, you’ll see what univariate and bivariate visualizations are and how they could influence decision making in a business case scenario.

Finally, you’ll learn how to customize the visualizations you created before by adding and manipulating elements like titles, grids, subplots etc.

When you're finished with this course, you'll be able to produce and customize visualizations from any given dataset through MATLAB.

Table of contents
  1. Course Overview
  2. Exploring Data Visualizations in MATLAB
  3. Customizing Visualizations in MATLAB

Advanced

Explore pre-built functions, extensive toolboxes, and specialized apps for classification, regression, and clustering. Build a machine learning workflow from data cleaning to model training.

Performing Statistical Analysis with MATLAB

by Martin Burger

Oct 7, 2020 / 2h 1m

2h 1m

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Description

MATLAB has many different uses for different types of statistical analysis. In this course, Performing Statistical Analysis with MATLAB, you’ll gain the ability to analyze and model standard datasets. First, you’ll explore summary statistics. Next, you’ll discover how probability distributions are defined for our course dataset. Then, you'll see how models and curve fits can be tailored to accurately describe data. Finally, you’ll learn how to use industrial statistics for advanced analysis like durability analysis, process control and design of experiments. When you’re finished with this course, you’ll have the skills and knowledge of MATLAB needed to analyze standard datasets containing numeric, integer and categorical variables.

Table of contents
  1. Course Overview
  2. Using MATLAB for Statistical Analysis
  3. Understanding Statistical Probability Distributions
  4. Fitting and Interpreting Curves
  5. Performing Advanced Statistics in MATLAB

Perform Predictive Modeling with MATLAB

by Pratheerth Padman

Jun 29, 2020 / 1h 11m

1h 11m

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Description

These days, data is ubiquitous and abundant. Analyzing that data and then subjecting it to machine learning models which in turn generate predictions has become essential. Entire startups have been built using this as the basis and established businesses use it to extend their capabilities.

There are many tools that are used to do this and MATLAB is one of the big ones. In this course, Perform Predictive Modeling with MATLAB, you'll learn the ins and outs of data analysis and predictive modeling through MATLAB.

First, you'll kick off the course with a brief introduction to the business problem that’ll be extended throughout the duration of the course. Next, you'll learn to prepare our dataset for analysis and modeling.

Then, you'll identify how to choose the correct algorithm for the business problem.

Finally, you’ll discover how to train and test the model on the dataset and then evaluate its performance.

When you’re finished with this course, you’ll have a solid understanding of how to work through a machine learning problem with MATLAB.

Table of contents
  1. Course Overview
  2. Preparing Data for Modeling
  3. Choosing the Correct Algorithm
  4. Training, Testing, and Evaluating the Model
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