![]() This is where you're going to do a lot of algorithm development and do things like graphing, finding trends, and developing your application. Once you acquire data, you're then going to enter in what we call the exploration and discovery phase. And this can come in the form of files, maybe output from third-party software, maybe even hardware. Traditionally, you'll start with accessing data. ![]() ![]() So let's take a step back and talk about a typical technical computing workflow. And also, it allows you to do algorithm development and programming, and finally application deployment. This allows you the ability to do scripting, to do numerical computation, to do visualization like you see on the right-hand side, using plots and a lot of different type of graphing tools. But more than that, it's also a full interactive development environment. MATLAB is essentially a high-level language. But before we get started, let's go ahead and talk about MATLAB a little bit. ![]() In this session, we're going to give you an introduction to MATLAB by using an image processing example. My name is Andy The, and I'm a product marketing manager at MathWorks. Hello, and welcome to the introduction to MATLAB.
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