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Gain a deeper understanding of machine learning with these e-learning courses on Matlab and Simulink

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Learn how to create algorithms for machine learning with this powerful tool.
Learn how to create algorithms for machine learning with this powerful tool.

Image: Pexels

In case you haven’t noticed, machine learning — the practice of designing algorithms to equip computers to collect data, identify patterns, and learn from them without human interference — has gained fresh momentum. 

Although the concept is not new, its recent applications gave rise to a massive digital revolution. Think self-driving cars, Netflix’s recommendation engine, Uber’s arrival and pick-up estimations, and Spotify’s Discover Weekly playlists. Without machine learning, all these things would not exist.

The number of businesses adopting machine learning is growing at a rapid pace, which means now is the perfect time to immerse yourself in it and become a frontrunner in the industry. And because it is a massively complex and nuanced topic that has a steep learning curve, those who are now considered pros are in high demand and making serious bank.

If you’re looking to join their ranks, the Essential MATLAB and Simulink bundle of online courses can aid in demystifying machine learning and serve as your primer to the industry.

First things first, what are Matlab and Simulink anyway?

A conversation about machine learning won’t be complete without the mention of Matlab and Simulink. To the uninitiated, Matlab — which stands for Matrix Laboratory — is a tool that was initially invented to help in teaching linear algebra but has now evolved into a platform that can explore, analyze, and visualize big data. It can be used for creating predictive models that work best with your data sets. Just think of Matlab as the engineer’s Excel, only with far greater capabilities. 

On the other hand, Simulink is a visual programming environment for creating simulations without the need to write code. Say you’re developing a prototype for an automobile (FYI: Tesla uses Simulink), you can use the program to build a dynamic model quickly to test and validate your design before even moving to hardware. Both of these powerful tools complement each other, and when used together, you can test thousands of algorithms on different simulations.

Sounds complicated? These online courses are a great place to start.

Across five courses, your first foray into machine learning couldn’t be more straightforward. You’ll get an introduction to critical classification algorithms and how to implement them using MATLAB. You’ll learn how to import, preprocess, analyze, visualize, and generate data analysis reports, as well as how to automate your analysis workflows. There’s even an entire course dedicated to simulating the Tesla Model S P8s so you can gain a deeper understanding of how complicated machines work.

Get the bundle on sale now for $35 — 93% off the regular price of $549.96.

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