Overview
Overview
Launch
- Understand what machine learning is
- Be able to build a simple machine learning model
CHALLENGE
- Be able to make changes to a simple machine learning model
Natural Language Processing
- Understand what a chatbot is
- Be able to build a natural language recognition model
CHALLENGE
- Recognise the advantages of natural language processing
- Appreciate real life applications of chatbots
Recommendation Systems
- Understand how machine learning can be used to make recommendations
- Be able to build a simple recommendations system
CHALLENGE
- Be able to adapt a recommendation system to include new criteria
- Understand what a Filter Bubble is
Decisions and Ethics
- Understand how Machine Learning is used to make decisions
- Understand potential issues with the application of machine learning
CHALLENGE
- Be able to evaluate the impact of ethical considerations in the application of Machine Learning
Machine Learning Algorithms
- Understand the difference between supervised and unsupervised learning
- Understand basic machine learning algorithms
CHALLENGE
- Be able to use basic machine learning algorithms
- Understand what a neural network is
(Optional) Python and Orange
- Be able to use machine learning tools to visualise data
CHALLENGE
- Be able to use python to import data and run basic machine learning algorithms
LEARNING OUTCOMES
- Machine learning model that can sort images
- Machine learning model that can recognise natural language commands
- Machine learning model that can recommend the reading age of a book based on data about the book
- Presentation or report summarising key points
- Completed algorithm exercises
- Data visualiastions using Orange
- Python code for importing data and running machine learning algorithms (decision trees and kNN)
Course Features
- Lectures 37
- Quizzes 3
- Language English
- Students 273
- Certificate Yes
- Assessments Yes
Curriculum
Curriculum
-
Launch
Machine learning model that can sort images
-
Natural Language Processing
Machine learning model that can recognise natural language commands
-
Recommendation Systems
Machine learning model that can recommend the reading age of a book based on data about the book
-
Decisions and Ethics
Presentation or report summarising key points
-
Machine Learning Algorithms
In this session we will be looking at some of the algorithms that make machine learning possible.
-
(Optional) Python and Orange
Data visualiastions using Orange Python code for importing data and running machine learning algorithms (decision trees and kNN)
Instructor
Instructor
Reviews
Reviews
You May Like
You May Like
