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1. Machine Learning 2. Learning It is often hard to articulate the knowledge we need to build AI systems Often, we don’t even know it.Frequently, we can arrange to build…

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Documents 1er. Escela Red ProTIC - Tandil, 18-28 de Abril, 2006 2. Concept Learning 2.1 Introduction Concept.....

Slide 11er. Escela Red ProTIC - Tandil, 18-28 de Abril, 2006 2. Concept Learning 2.1 Introduction Concept Learning: Inferring a boolean-valued function from training examples…

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Slide 1 INTRODUCTION TO ARTIFICIAL INTELLIGENCE Massimo Poesio LECTURE: Intro to Machine Learning Slide 2 MOTIVATION Cognition involves making decisions on the basis of knowledge…

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Documents NETWORKS, SYSTEMS AND FUTURES JOHN URRY CEMORE LANCASTER UNIVERSITY COSMOBILITIES CONFERENCE,...

Slide 1 Slide 2 NETWORKS, SYSTEMS AND FUTURES JOHN URRY CEMORE LANCASTER UNIVERSITY COSMOBILITIES CONFERENCE, COPENHAGEN, NOVEMBER 2014 John F Kennedy once said: ‘Change…

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Machine Learning Learning It is often hard to articulate the knowledge we need to build AI systems Often, we don’t even know it. Frequently, we can arrange to build systems…

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2. Concept Learning 2.1 Introduction Concept Learning: Inferring a boolean-valued function from training examples of its inputs and outputs 1er. Escela Red ProTIC - Tandil,…

Education Robert Zougmoré Overview CCAFS, incl. West Africa

1. High  level  science-­‐policy  session   ISP  meeting,  Ouagadougou,  Burkina  Faso,  21-­‐25  October  2012    How can CCAFS research contribute to…