Autonomous Learning Systems From Data Streams to Knowledge

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Autonomous Learning Systems: From Data Streams to Knowledge in Real Time by Plamen Angelov

Autonomous Learning Systems: From Data Streams to Knowledge in Real Time by Plamen Angelov Introduction Lecture 1

Intro to ALS � These lecture notes accompany the book on ALS � They

Intro to ALS � These lecture notes accompany the book on ALS � They can be used with the book and the software for courses on ALS and related subjects of: � Machine learning (ML); � System engineering (specifically, system identification), SI; � Data mining, DM; � Statistical Analysis, SA; � Pattern Recognition including clustering, classification, PR; � Fuzzy logic and fuzzy systems, including neurofuzzy systems, FL; 2 ALS by P Angelov (c) 2013 Wiley LN 1 Intro

Outline of the ALS course � 20 -30 h lectures � 20 h practical

Outline of the ALS course � 20 -30 h lectures � 20 h practical session using the EST software � Lectures cover: � Introduction to ALS (1 h) � Probability theory-basics (2 h) � Machine Learning & Pattern recognition (2 h) � Fuzzy Systems Theory – basics (2 h) � Evolving System Structure (2 h) � Parameters Learning (1 h) � Autonomous Predictors/Estimators/Filters/ Inferential Sensors (1 h)… 3 ALS by P Angelov (c) 2013 Wiley LN 1 Intro

Outline of the ALS course … �… � AL Classifiers (1 h) � AL

Outline of the ALS course … �… � AL Classifiers (1 h) � AL Controllers (1 h) � Collaborative ALS (1 h) � AL Sensors in (Petro-) Chemical industry (1 h) � ALS in Mobile Robotics (1 h) � Autonomous Novelty Detection (1 h) � Modelling Evolving user behaviour with ALS (1 h) � Review (1 h) � Tutorial (1 h) 4 ALS by P Angelov (c) 2013 Wiley LN 1 Intro

Outline of Lecture 1 � Introduction to ALS � Autonomous Systems (AS) � The

Outline of Lecture 1 � Introduction to ALS � Autonomous Systems (AS) � The role of Machine Learning (ML) in AS � System Identification – A World Model � System structure identification � Parameter identification � Novelty detection, outliers, structure identification � Online vs Offline � Adaptive and Evolving � Evolving vs Evolutionary � Supervised vs unsupervised learning 5 ALS by P Angelov (c) 2013 Wiley LN 1 Intro

Introduction to ALS �ALS interacts with a number of well established areas of research

Introduction to ALS �ALS interacts with a number of well established areas of research ( a non exhaustive list is shown below): DM SA SI ALS ML PR FL 6 ALS by P Angelov (c) 2013 Wiley LN 1 Intro