Module 1: More examples of what machine learning can and cannot do

Course Q&A AI For Everyone
1

Is the Input A> Outcome B example correctly articulated?

Was thinking that in case of self-driving cars, input A is location of cars/objects surrounding your vehicle. Outcome B is maneuvering the car to stay clear of the cars/objects.

The lecture note says input A, is a picture of what’s in front of your car, or maybe both a picture as well as radar and other sensor readings. The output B is, where are the other cars?

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Excuse me for nitpicking.

2

I think the example is correct as a simple system.

Your example is more complicated, because you have to use some sensors to detect the surroundings, then process the information to detect the objects that are present, before you can create a plan to avoid them, and then use a method to implement the plan and maneuver the car.

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3

Thanks TM for the response.