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
- 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 296
- 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
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