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## The Road to Gamma
Gamma: The Learned Classifier In machine learning and statistics, classification is the problem of identifying a semantic class for an observation, on the basis of a training set of data containing observations (or instances) whose class membership is known. a learned classifier: Gamma is a classifier, that given a document, will give us the class that document belongs to (with an associated degree of probability to boot!). Our job is the build the function gamma, which takes a document, and returns a class. Application: Sentiment Analysis... [More]
Tags: ontology watson learning natural_language_processi... parse unstructured sentiment syntax classifier probability big_data rdf unstructured_data p-value machine_learning semantics language_model model analysis context nlp language data gamma |

## The Chain Rule of Probability
Chain Rule (Probability) Give any of these word sequences, what is the probability of the next word? Premature optimization is the root of all ____ -Donald Knuth A house divided against itself ____ ____ -Abraham Lincoln The quick brown fox jumped over the ____ ____ _____ -Wm. Shakespeare A friend to all is ____ ____ ____ ____ -Aristotle If you were able to complete these word sequences, it was likely from prior knowledge and exposure to the complete sequence. Not all word sequences are this obvious. But for any given word sequence, it... [More]
Tags: text markov probability trigram model semantic rule assumption web unstructured chain language bigram ngram markov_model simplifying watson |