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Launch 8
Machine learning model that can sort images
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Lecture1.1
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Lecture1.2
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Lecture1.3
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Lecture1.4
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Lecture1.5
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Lecture1.6
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Quiz1.1
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Lecture1.7
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Natural Language Processing 7
Machine learning model that can recognise natural language commands
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Lecture2.1
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Lecture2.2
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Lecture2.3
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Lecture2.4
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Lecture2.5
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Quiz2.1
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Lecture2.6
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Recommendation Systems 6
Machine learning model that can recommend the reading age of a book based on data about the book
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Lecture3.1
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Lecture3.2
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Lecture3.3
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Lecture3.4
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Lecture3.5
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Quiz3.1
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Decisions and Ethics 4
Presentation or report summarising key points
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Lecture4.1
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Lecture4.2
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Lecture4.3
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Lecture4.4
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Machine Learning Algorithms 12
In this session we will be looking at some of the algorithms that make machine learning possible.
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Lecture5.1
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Lecture5.2
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Lecture5.3
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Lecture5.4
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Lecture5.5
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Lecture5.6
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Lecture5.7
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Lecture5.8
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Lecture5.9
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Lecture5.10
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Lecture5.11
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Lecture5.12
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(Optional) Python and Orange 3
Data visualiastions using Orange Python code for importing data and running machine learning algorithms (decision trees and kNN)
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Lecture6.1
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Lecture6.2
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Lecture6.3
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Introduction
So far we have been using machine learning models without needing to understand how they work. We fed data into the model and the results came out the other end. What happened in the middle was a mystery.
In this session we will be looking at some of the algorithms that make machine learning possible. (An algorithm is a list of rules to follow in order to solve a problem.)