![]() So what is machine learning? Let's take a minute to quickly go over the high-level concepts of machine learning. Today, with machine learning, we are able to solve problems in automotive, finance, computer vision, and several other fields that were previously considered impossible. These techniques are increasingly being used in today's world to make critical business and life decisions. Basic familiarity with MATLAB is helpful, but not required. Since this is a Made Easy topic, there are no prerequisites. We'll wrap the session up with a summary and some guidance on when to consider machine learning. I'll show you a live demonstration that uses video from a webcam to identify objects. We'll then go through another interesting example that involves image data. To tackle this problem, I'll introduce a typical workflow that often gets used in solving machine learning problems. ![]() Next, I'll take a deeper dive into machine learning by solving an interesting problem that involves real-world data. We'll then see some key challenges in machine learning. I'll start off with a high-level overview of what machine learning is and why you might want to consider it. Here's the agenda for the rest of today's presentation. I'm the product manager for statistics and machine learning products at MathWorks. Hello, and welcome to Machine Learning Made Easy. in electrical engineering from Arizona State University. Prior to joining MathWorks, Shashank worked on software design and development at Oracle.
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