Getting Started with Machine Learning Using MATLAB
By Justin Flett
Course info
Course info
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.
About the author
Justin Flett is a Mechatronics Engineer currently working as a Professor within the Faculty of Applied Science and Technology at Sheridan College. Justin has previously held positions at Hydro One Networks, Ford Motor Company, and ABB Robotics spanning across both the electrical and mechanical engineering industries. Most recently, he has been working as an Product Development Professional specializing in training, services, and consultation nation-wide, ranging from design fundamentals to advanced product development solutions.
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Section Introduction Transcripts
Course Overview
Hi, everyone. My name is Justin, and welcome to my course, Getting Started with Machine Learning using MATLAB. I am a mechatronics engineer, and I'm currently an engineering professor at Sheridan College. Prior to this, I have many years of engineering and consulting experience across numerous industries. This course is a beginner‑level course for learning the fundamentals of working with MATLAB and machine learning. So some prior knowledge of MATLAB or machine learning might be beneficial but is not required. Some of the major topics that we will cover include understanding and working with the MATLAB user interface, building a simple MATLAB script, importing data into MATLAB, and implementing a data science workflow with MATLAB. By the end of this course, you will be proficient in the fundamental techniques required to work with MATLAB on basic data science and machine learning problems. From here, continue your learning by diving into MATLAB and data science with courses on MATLAB Fundamentals, Perform Predictive Modeling with MATLAB, and Building Your First Data Analysis Workflow with MATLAB. I hope you'll join me on this journey to learn MATLAB fundamentals for data science and machine learning with the Getting Started with Machine Learning using MATLAB course, at Pluralsight.