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13: Practical Artificial Intelligence & Machine Learning (Arturo Servin)

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Imran Ali
Imran Ali

This document provides an overview of artificial intelligence and machine learning concepts. It discusses different types of machine learning including supervised learning, unsupervised learning, and reinforcement learning. It also describes various machine learning algorithms like decision trees, Bayesian classifiers, artificial neural networks, and how they can be applied to problems like classification, clustering, and prediction. Finally, it lists several resources for learning more about artificial intelligence and machine learning through books, online courses, code libraries, and datasets.

Technologie
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Practical Artificial Intelligence and Machine Learning ,[object Object],[object Object]
About this presentation ,[object Object],[object Object],[object Object],[object Object]
Artificial Intelligence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Machine Learning ,[object Object]
Machine Learning Flavours ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More flavours ,[object Object],[object Object],[object Object]
Training Examples ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]
More complex feature relations
Decision Trees ,[object Object],[object Object],[object Object],[object Object],[object Object],Source: http://www2.cs.uregina.ca/~dbd/cs831/notes/ml/dtrees/c4.5
Decision Trees, example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bayesian Classifiers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Classifying your RSS feeds ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Finding Similarity ,[object Object],[object Object],[object Object],[object Object],[object Object]
Similar items Source: http://home.dei.polimi.it/matteucc/Clustering/tutorial_html
Artificial Neural Networks ,[object Object],[object Object]
Artificial Neural Networks ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example, finding the best price ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Resources 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Resources 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More info ,[object Object],[object Object],[object Object],[object Object]

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