ML

Let us not trivialize things...For you learn little that way

What are the repeatable things that we can save ourselves time

Recommendation systems like netflix

what does this look like: speech, images

Self Driving

Face Recognition

Medical Diagnosis

Matching Poetry: who wrote what

Pattern recognition

Converging patterns: may be weather, swarm and storm behavior

Fit a curve given a set of points...

Arthur Samuel and Checkers

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by rolling many other marbles and see where they go.

Inference, and can I infer better with sets of declarative knowledge

Given a set of kids and can you predict who becomes an NFL player?

Basics of labelled and unlabeled in machine learning

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George Box: All models are wrong

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Basics of Feature Vectors in ML

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Minkowski Metric

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Eucledian Distance
Manhattan Distance

Manhattan Distance

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Only walk along the avenues and streets.

over fitting and clustering in machine learning

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Learning Octave

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Basics of Matlab tutorials

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Unsupervised learning: Ability to classify what belongs together

Unsupervised learning

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A set of speakers speaking simultaneously and a computer being able to separate them! Or perhaps introduce layers of musical instruments and recombine music when it was not originally separated to begin with!

Reinforcement learning

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It is a way to maximize gain or minimize the loss

Self driving cars or robotic movement are examples of reinforcement learning