lecture1 - machine learning

Introduction to MachineIntroduction to Machine LearningLearning

Lecture 1

Albert Orriols i Puigi l @ ll l [email protected]

Artificial Intelligence – Machine LearningEnginyeria i Arquitectura La Salleg y q

Universitat Ramon Llull

Where Are We?

Kno ledgeSearch Knowledge representation

We have seen several search techniques: Blind search, heuristic search, adversary search … GAs

We have seen several ways of representing our knowledge

Logic-based representation, rule-based representation …g p p

We have discussed reasoning mechanisms to deal with uncertainty, incompleteness and inconsistencyy p y

We set the basis. But, the most interesting is still missingM hi l i

Slide 2

Machine learning

Artificial Intelligence Machine Learning

Today’s Agenda

AdministriviaGoals of the course: yours and mineThe Project

Slide 3Artificial Intelligence Introduction to C++

AdministriviaHow will this course work?

Explanations based on lectures

L t ill b l d liLectures will be released online

Each lecture introduces a new problem and algorithms to solve ithas a set of related papers in the estudy

So, each lecture is complemented in the estudy!So, each lecture is complemented in the estudy!

Grade = 0.3 Theory + 0.7 PROJECT

Slide 4Artificial Intelligence Machine Learning

Administrivia

Syllabus of the courseIntroduction to the paradigms in machine learning

How to solve real-world problems?Data classification: C4.5, kNN, Naïve Bayes …Statistical learning: SVMAssociation analysis: A-prioriLink mining: Page RankClustering: k-meansReinforcement learning: Q-learning, XCSRegressionGenetic Fuzzy Systems


Goals: Yours & MineYour goal: pass the subject and graduateg p j g

Be more specific. We would like to learnWhat machine learning (ML) is aboutWhat machine learning (ML) is aboutWhat engineers can do to help scientists, businessmen, and industry in general with MLy gProfessional future in machine learning

My goal: I want you toMy goal: I want you toBe able to read literature

Understand machine learning as a pool of methods that solve problems that are actually important nowadays

Forget about math and go on solving problems

Be able to conduct and present original research on the field


The Project70% of PROJECT to accomplish my goal …p y g

… be able to conduct and present original research on the field

H ill it k?How will it work?Wait until having seen the introduction to ML

Select a line in which you want to workData classification

Statistical learning

Association analysis

Link mining

Clustering

Reinforcement learning

Define an objective

Slide 7

Work toward this objectiveArtificial Intelligence Machine Learning

Requirements of the Project

You must satisfySelect a topic and a goal before February 23

Develop the project:p p jUse a computer language of your choicePresent the project at class on Mayp j yWrite a technical report

Deadline: May 28, 2009


Next Class

What’s Machine Learning?

Why Machine Learning?Why Machine Learning?

Paradigms of Machine Learning

How I Would Like my Problem to Look Like?

Summary of the Paradigms that we Won’t StudySummary of the Paradigms that we Won t Study

Slide 9Artificial Intelligence Introduction to C++

Acknowledgments

Part of the lectures borrowed fromF i H T iFrancisco Herrera Triguero

Head of Research Group SCI2S

(Soft Computing and Intelligent Information Systems)(Soft Computing and Intelligent Information Systems)

Department of Computer Science and Artificial Intelligence

ETS de Ingenierias Informática y de TelecomunicaciónETS de Ingenierias Informática y de Telecomunicación

University of Granada, E-18071 Granada, Spain

Tel: +34-958-240598 - Fax: +34-958-243317Tel: 34 958 240598 Fax: 34 958 243317


Introduction to MachineIntroduction to Machine LearningLearning

Lecture 1

Albert Orriols i Puigi l @ ll l [email protected]

Artificial Intelligence – Machine LearningEnginyeria i Arquitectura La Salleg y q

Universitat Ramon Llull

lecture1 - machine learning

Education