Course
|
AI Fundamentals

Predicting Future Values

Artificial Intelligence techniques can help you predict the key values that help you make important business decisions, but to do so you need to understand what AI models can do this and how to evaluate them. In this course, you'll learn how to predict numeric values using regression techniques.
1 HOUR
Intermediate
10 Lessons
CPE/CPD & NASBA ACREDITED
Learning Outcomes
Outline the purpose of regression analysis in predicting values
Find datasets that are suitable for regression analysis
Interpret a regression equation
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Course
|
AI Fundamentals

Predicting Future Values

Artificial Intelligence techniques can help you predict the key values that help you make important business decisions, but to do so you need to understand what AI models can do this and how to evaluate them. In this course, you'll learn how to predict numeric values using regression techniques.
1 HOUR
Intermediate
10 Lessons
CPE/CPD & NASBA ACREDITED
Learning Outcomes
Outline the purpose of regression analysis in predicting values
Find datasets that are suitable for regression analysis
Interpret a regression equation
Leave your number for the fastest response

Get More Info

Looking to understand how Kubicle can better help your organization meet its learning objectives? Book some time with one of our consultants today.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

What’s Included

10 Lessons
Introducing Prediction with Regression
5 MINS
LESSON
Introducing Prediction with Regression
Exercise

Regression analysis is an AI technique that studies patterns in past data to produce a formula that lets us predict future values. We'll introduce this concept in this lesson.

Values Used in Regression
5 MINS
LESSON
Values Used in Regression
Exercise

Regression relies on two key values: the output that we want to predict, and the input or inputs used to predict it. This lesson introduces the important properties of these inputs and outputs.

Datasets Used in Prediction
4 MINS
LESSON
Datasets Used in Prediction
Exercise

The aim of regression is to use past data to understand the future, so it's important we have two datasets: one to formulate our model, and one to test how accurate its predictions are. We'll learn about these two datasets in this lesson.

Determining the Relationships
3 MINS
LESSON
Determining the Relationships
Exercise

The key concept of a regression model is to understand the exact relationship between the input and output variables. This lesson will explain how we can identify this relationship.

Analyzing a Regression Equation
5 MINS
LESSON
Analyzing a Regression Equation
Exercise

The output of a regression model is an equation that explains the relationship between inputs and outputs, letting us predict the output with data on the input variables. We'll learn how to make these predictions in this lesson.

Understanding the Impact of Predictors
4 MINS
LESSON
Understanding the Impact of Predictors
Exercise

Not every input variable in a regression model has a meaningful impact on the output. In this lesson, we learn how to identify which inputs are meaningful and which are not by analyzing the regression model.

Evaluating Predictive Strength
5 MINS
LESSON
Evaluating Predictive Strength
Exercise

Not all regression models accurately explain the relationship between input and output variables. In this lesson, we'll learn how to measure the predictive strength of a regression model.

Data Requirements for Prediction
3 MINS
LESSON
Data Requirements for Prediction
Exercise

There are certain data requirements that must be met for a linear regression model to be appropriate. This lesson explains the relevant requirements for the input and output variables.

Additional Data Requirements
3 MINS
LESSON
Additional Data Requirements
Exercise

Following on from the previous lesson, this model explains the assumptions of linear regression that relate to the model's residuals, that is the gaps between the model's predicted values and actual values for the output variable.

Pitfalls of Regression
3 MINS
LESSON
Pitfalls of Regression
Exercise

A regression model doesn't always perfectly explain the relationship between input and output variables. This lesson explains why predictions made using a regression model may not always be accurate.

LESSON
Exercise

LESSON
Exercise

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Certifications
Earn a certificate with every exam you complete. All successful course completions are recognized by CPD, CPE, and NASBA. As your team gains confidence, skill, and speed, your firm becomes more competitive.
Earn cPE / CPD Credits
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Get More Info
Looking to understand how Kubicle can better help your organization meet its learning objectives?  Book some time with one of our consultants today.
Contact Information
Looking to speak to someone directly?
01 700 9000
info@kubicle.com
Dublin, Ireland
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