Estimating Probability Distributions
COURSE ID: CIS532
Course Overview
In this course, you will use the Maximum Likelihood Estimate (MLE) to approximate distributions from data. Using the Bayes Optimal Classifier, you will learn how the assumptions you make will impact your estimations. You will then learn to apply the Naive Bayes Assumption to estimate probabilities for problems that contain a high number of dimensions. Ultimately, you will apply this understanding to implement the Naive Bayes Classifier in order to build a name classification system.
The following course is required to be completed before taking this course:- Problem-Solving with Machine Learning
Who should enroll in this course?
- Programmers
- Developers
- Data analysts
- Statisticians
- Data scientists
- Software engineers
S$700
Certificates with this course
