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Leveraging AI Support Vector Machines (SVM) For Autonomous Cars

Lance Eliot
12 min readJun 13, 2019

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Dr. Lance Eliot, AI Insider

I’d like to introduce you to Support Vector Machines (SVM), which is a statistical technique that has gained special popularity in the field of AI and Machine Learning and Deep Learning.

An easy means to understand SVM involves an example that I often describe about college sports.

Let’s suppose that we recently managed to snag an incoming student that will be a great addition to our football team, and another student that will be a superb addition to our basketball team. The two students we’ll say are named A and B. I’d like you to try and guess which went to which of our two sports teams.

The student A is 6 foot 2 inches tall and weighs about 260 pounds.

The student B is 6 foot 8 inches tall and weighs about 220 pounds.

Did A go to the football team or the basketball team?

Did B go to the football team or the basketball team?

You might at first glance say that there’s no way to tell which went to which. I didn’t provide enough information such as how high each can jump and nor whether one of them made a ton of touchdowns last year. But, I did give you some info that would be helpful, namely, their height and weight.

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Lance Eliot
Lance Eliot

Written by Lance Eliot

Dr. Lance B. Eliot is a renowned global expert on AI, successful startup founder, global CIO/CTO, , was a top exec at a major Venture Capital (VC) firm.

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