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Let your machine do the learning - Lecture 1
<!--HTML-->The field of Artificial Intelligence, whose formal definitions go as back as the 40's, have recently gained a renowned interest in the community as more and more problems become amenable to be tackled by it. Even better, we are now available to try complex techniques in a very...
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Lenguaje: | eng |
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2017
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Acceso en línea: | http://cds.cern.ch/record/2254808 |
_version_ | 1780953666132377600 |
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author | Campora Perez, Daniel Hugo |
author_facet | Campora Perez, Daniel Hugo |
author_sort | Campora Perez, Daniel Hugo |
collection | CERN |
description | <!--HTML-->The field of Artificial Intelligence, whose formal definitions go as back as the 40's, have recently gained a renowned interest in the community as more and more problems become amenable to be tackled by it. Even better, we are now available to try complex techniques in a very accessible manner, lowering the entrance admission to this cool club to just a couple of hours.
In this series of lectures, we are going to explore non-conventional techniques to solve long standing problems, coming from AI, from a pragmatic and up to date perspective. By the end of these lectures you should be able to get your hands dirty with exciting real examples. You should be able to identify what kind of problems are you dealing with, what tools does AI have in store for you and how to apply them in a straightforward way, with room for depth. Just enjoy longer coffee breaks as the machine works it out for you. |
id | cern-2254808 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | cern-22548082022-11-02T22:32:27Zhttp://cds.cern.ch/record/2254808engCampora Perez, Daniel HugoLet your machine do the learning - Lecture 1Inverted CERN School of Computing 2017inverted CSC<!--HTML-->The field of Artificial Intelligence, whose formal definitions go as back as the 40's, have recently gained a renowned interest in the community as more and more problems become amenable to be tackled by it. Even better, we are now available to try complex techniques in a very accessible manner, lowering the entrance admission to this cool club to just a couple of hours. In this series of lectures, we are going to explore non-conventional techniques to solve long standing problems, coming from AI, from a pragmatic and up to date perspective. By the end of these lectures you should be able to get your hands dirty with exciting real examples. You should be able to identify what kind of problems are you dealing with, what tools does AI have in store for you and how to apply them in a straightforward way, with room for depth. Just enjoy longer coffee breaks as the machine works it out for you.oai:cds.cern.ch:22548082017 |
spellingShingle | inverted CSC Campora Perez, Daniel Hugo Let your machine do the learning - Lecture 1 |
title | Let your machine do the learning - Lecture 1 |
title_full | Let your machine do the learning - Lecture 1 |
title_fullStr | Let your machine do the learning - Lecture 1 |
title_full_unstemmed | Let your machine do the learning - Lecture 1 |
title_short | Let your machine do the learning - Lecture 1 |
title_sort | let your machine do the learning - lecture 1 |
topic | inverted CSC |
url | http://cds.cern.ch/record/2254808 |
work_keys_str_mv | AT camporaperezdanielhugo letyourmachinedothelearninglecture1 AT camporaperezdanielhugo invertedcernschoolofcomputing2017 |