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You're reading from  Statistics for Machine Learning

Product typeBook
Published inJul 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781788295758
Edition1st Edition
Languages
Python
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Statistics
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Pratap Dangeti
Pratap Dangeti
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Pratap Dangeti

Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.
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Naive Bayes

Bayes algorithm concept is quite old and exists from the 18th century since Thomas Bayes. Thomas developed the foundational mathematical principles for determining the probability of unknown events from the known events. For example, if all apples are red in color and average diameter would be about 4 inches then, if at random one fruit is selected from the basket with red color and diameter of 3.7 inch, what is the probability that the particular fruit would be an apple? Naive term does assume independence of particular features in a class with respect to others. In this case, there would be no dependency between color and diameter. This independence assumption makes the Naive Bayes classifier most effective in terms of computational ease for particular tasks such as email classification based on words in which high dimensions of vocab do exist, even after assuming independence between features. Naive Bayes classifier performs surprisingly really well in practical applications...

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Statistics for Machine Learning
Published in: Jul 2017Publisher: PacktISBN-13: 9781788295758
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Pratap Dangeti

Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.
Read more about Pratap Dangeti

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