Naive Bayes Classifier: Fundamentals and Applications
Despre această carte audio
What Is Naive Bayes Classifier
In the field of statistics, naive Bayes classifiers are a family of straightforward "probabilistic classifiers" that are derived from the application of Bayes' theorem with strong (naive) assumptions of independence between the features. They are among the Bayesian network models that are the simplest, but when combined with kernel density estimation, they are capable of achieving great levels of accuracy.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Naive Bayes classifier
Chapter 2: Likelihood function
Chapter 3: Bayes' theorem
Chapter 4: Bayesian inference
Chapter 5: Multivariate normal distribution
Chapter 6: Maximum likelihood estimation
Chapter 7: Bayesian network
Chapter 8: Naive Bayes spam filtering
Chapter 9: Marginal likelihood
Chapter 10: Dirichlet distribution
(II) Answering the public top questions about naive bayes classifier.
(III) Real world examples for the usage of naive bayes classifier in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of naive bayes classifier' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of naive bayes classifier.
Despre autor
Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual masterâs degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010.
Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.
