# Statistics For Decision Making

Statistical Decision Making is a set of quantitative methods for reaching optimal decisions. It is regarded as the cognitive process resulting in the selection of a belief or a course of action among several alternative possibilities. In this course we will learn about various models in decision making, its error estimation and the cost of the errors.

##### 365 days course access

Live instructor-led online classes

##### Industry-based projects

Master the various concepts in Statistical Decision Making by learning statistics

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###### Guide from “Amphi”

The Super teacher

Includes:

• 2 hours of lecture Videos
• 50 hands-on practice exercises
• 35 Assessment exercises
• 15 code analysis exercises
• 300 knowledge based questions
• 2 Live connect sessions
(Master classes)
+91 95669 33778

### Statistics For Decision Making

In this course, you will learn about Bayes Theorem and decision making using Bayes Theorem, designing and customizing the Bayesian theorem to work with more than 2 features and cost estimation for errors.

COURSE OBJECTIVES

Upon successful completion of the course, the learner will be able to :
• Master the various concepts in Statistical Decision Making.
• Learn how Statistical Decision Making plays an important role in prediction and decision making in AI and ML algorithms.

## Course Content

### Bayes Theorem and Bayesian Decision Making

In this topic, you will learn about how conditional probability is used to derive Bayes Theorem and decision making using Bayes Theorem.

• 1 Video
• 7 hours
• 80 Problems

### Multiple Features and Multivariate Statistics

In this topic, you will learn about designing and customizing the Bayesian theorem to work with more than 2 features.

• 1 Video
• 7 hours
• 80 Problems

### Decision Regions and Decision Boundaries, Multi-Dimensional Decision Boundaries

In this topic, you will learn about how to create decision region classification by deriving Decision Boundaries and multidimensional Decision Boundaries.

• 1 Video
• 7 hours
• 80 Problems

### Cost of Errors and Estimation of Errors, Regression

In this topic, you will learn about how to calculate the cost of error and how to do an estimation of errors.

• 1 Video
• 7 hours
• 80 Problems

### Applications of Statistical Modelling in ML

In this topic, you will learn about the application of Statistical Decision Making in the field of AI and ML.

• 1 Video
• 7 hours
• 80 Problems

## Recommended Courses

You can opt for the following courses once you complete your ongoing course

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