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Solving problems with machine learning
This document provides a high-level overview of machine learning, including factors that led to its development such as personal computers, programming languages, and the World Wide Web in the 1990s. It then discusses different types of machine learning like supervised, unsupervised, reinforced, and ensemble learning. Specific machine learning concepts are also covered like classification, clustering, prediction, and association mining. Examples are given for using machine learning for analyzing Brexit, noise reduction, and predicting behavior.
Solving problems with machine learning
- 1. Solving Problems w/ MachineLearning
- 3. Where did itall start?
- 5. Factors that Ledto Development of Machine Learning Personal Computers Programming Languages The World Wide Web
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- 8. Types of Learning SupervisedLearning Unsupervised Learning Reinforced Learning Ensemble Learning
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- 13. Concepts of MachineLearning Classification Clustering Prediction Association Mining
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Editor's Notes
- #3 By sure of hands, how many people recognize this movie scene? - It’s the Imitation Game starring Benedict Cumberbatch as Alan Turing (The Great English Mathematician). Two important factors - Invention of the computer and the thought of machine learning