DEEP LEARNING

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http://rockalabs.com

xergioalex

Sergio A. Florez

TECH LEAD && FULL STACK DEVELOPER

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ARTIFICIAL INTELLIGENCE

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WEEK AI

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STRONG AI

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SUPER AI

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SINGULARITY AI

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MACHINE LEARNING

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SUPERVISED LEARNING

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Allows to make future predictions based on behaviors or characteristics that have been seen in the data already stored

UNSUPERVISED LEARNING

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Use historical data that are not labeled The purpose is to explore them to find the structure or the way to organize them.

EXAMPLE OF UNSUPERVISED LEARNING

K-NN

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NEURONAL NETWORKS

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They are the basis of all AI. They work exactly like the neurons of our brain at the conceptual level.

NEURONAL NETWORKS

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PERCEPTRON

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DEEP LEARNING

Learning at multiple levels, each hidden layer is responsible for recognizing different characteristics, and deliver them as input to the next layer.

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MATEMHATICS, LINEAR ALGEBRA, CALCULUS, STATISTICS && GRAPHS

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VECTORIZATION

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SEARCH AND PATTER RECOGNITION

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PREDICTIONS

(Markov chains)

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IMAGE RECOGNITION

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DIGITS RECOGNITION

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SHOW AND TELL (Accesibility)

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STELLARATOR

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http://rockalabs.com

xergioalex

Sergio A. Florez

TECH LEAD && FULL STACK DEVELOPER