Applied Bayes' Theorem and Naive Bayes Classifiers

Partner: Udemy
Affiliate Name:
Area:
Description: A) The Purpose of the CourseMost courses on this subject are aimed at Machine Learning and Data Science experts. Often, they are presented for use with specialized development platforms or even as part of advanced off-the-shelf applications. On the other hand, the Bayes' Theorem and its applications are based on statistical principles and concept not often clearly explained.The purpose of this course is educational. The techniques, algorithms and procedures presented in this course aim more at making machine learning methods based on the Theorem easier to understand as opposed to getting used.The Bayes' Theorem is is one of those theorems where we can apply the proverb: “Still water is deep”. The Theorem was developed in an article by Thomas Bayes in 1763. In due course, it found itself being used in a wide variety of statistical applications. The Theorem itself was an application of inference. From there on, and specifically with the advent of Machine Learning algorithms, the Theorem was extended to be the core of a wide variety of applications such as Classification, Networks and Optimization.The Theorem and its applications are best developed using specialized programming environments. This is due to the mere fact that the applications of the Theorem require the handling of large data and performance intensive environments.B) So, why do we Present a Course based on Excel?Analysts require the use and the development of such applications have the following environments available to them:· Off the shelf applications, ready-made and commercially available.· Open source or free integrated development environments (IDE) that host a large number of scientific and statistical libraries to use in such applicationsIn both cases, the Analyst is faced with an insurmountable learning curve, often not climbable at all. Whether the objective is to use off-the-shelf products or to develop their own applications, learning the me
Category:
Partner ID:
Price: 19.99
Commission:
Source: Impact
Go to Course