ikastaro eta mintegiak

Indarrean dauden ikastaroak

  • "Hizkuntzaren prozesamendurako ikasketa sakona" ikastaro osagarria(DL4NLP)

Ikastaro hau urtean birritan ematen da, uztaila inguruan (20 ordu hiru egunetan) eta urtarrila inguruan (35 ordu 3 astetan). Hurrengo eta aurreko ikastaroen berri izateko jo hona.

  • Introduction to Language Technology Applications

Udako ikastaro honen 1.edizioa dugu hau. 2021ko uztailak 12-15 bitartean (20 ordu 5 egunetan). Informazio gehiago hemen

  • Eustat

Big Data estatistika ofizialaren ekoizpenean sartzeak informazio-iturri berrien erabilera sustatu du. Horregatik, beharrezkoa da text mining teknikak erabiltzea iturri horiek aztertu, atera eta berreskuratzeko. Mintegiak teknika horien oinarrizko teoria eta EHUko Ixa ikerketa-taldea egiten ari den aplikazio nagusiak aurkezten ditu. Ikastaroaren helburu nagusia, ikuspegi praktiko batetik, kuspegi orokorra ematea hizkuntza naturalaren eta text mining-aren prozesamenduaren funtsezko metodoei. Bestetik, teknika horiek hainbat eremutako kasu zehatzak dituzten aplikazioak erakustea, bai eta horiek estatistika ofizialean inplementatzeko aukera erakustea ere.

Informazio gehiago hemen

  • 4Gune

Kurtso honen helburua gaur egun Adimen Artifiziala (IA) eta Big Dataren ikuspegi orokorra ematea da, metodoei, arloei eta aplikazioei arreta berezia eskainiz. Adimen artifizialaren aplikazio-eremuen ikuspegi orokorra eskuratzea, bereziki kurtsoaren partehartzaileentzat interesgarriak diren industria arloetan. Adimen artifizialak eta Big Datak lantzen dituzten atazak identifikatzea, eta horiek konpontzeko metodo generiko batzuk ezagutzea. Saio hori egin ondoren, espero da bertaratuek IAren egungo egoera ezagutzea, eta gai izatea haren arlo eta teknika nagusiak identifikatzeko, bai eta enpresa-ingurunean aplikazioen aukera ebaluatzeko ere.

  • Short programme AI

This short talk is an introduction to AI and NLP. We will briefly describe the history of AI and NLP, including the last and incredible advances that deep learning and neural language models have brought to the field.

Pasatako ikastaroak

.2023 2022 2021 2020 2019 2018 .

2023

  • 4Gune (2023/02/16)

The aim of the course is to provide an overview of Artificial Intelligence (AI) and Big Data at the present time, with special attention to methods, areas and applications. Participants should acquire a global vision of the application areas of Artificial Intelligence, especially in their areas of interest. Identify the types of problems that Artificial Intelligence and Big Data address, and learn about some generic methods to solve them. After taking this course, attendees are expected to be able to assess the possibility of applications in their business environment.

  • Short programme AI (2023/03/21)

This short talk is an introduction to AI and NLP. We will briefly describe the history of AI and NLP, including the last and incredible advances that deep learning have brought to the field. In the talk we will briefly describe neural language models, discussing how they have revolutionized various NLP tasks such as machine translation, text generation or question answering. Additionally, we will touch upon new learning paradigms such as zero-shot and in-context-learning, which require very few training examples, if any, to adapt language models to new tasks.

  • Deep Learning for Natural Language Processing (DL4NLP)

January 2023, UPV/EHU San Sebastian. Winter version, 3 weeks, 35 hours, labs in Tensorflow.

  • Introduction to Language Technology Applications

February 2023, UPV/EHU Donostia-San Sebastian. Winter version, 5 weeks, 22.5 hours, labs with Flair, Spacy and Transformers

2022

  • Eustat (2022/11/24-25)

More info here [es]

  • Deep Learning for Natural Language Processing (DL4NLP)

July 2022, UPV/EHU San Sebastian. Summer version, 5 days, 20 hours, labs in Keras.

January 2022, UPV/EHU San Sebastian. Winter version, 3 weeks, 35 hours, labs in Tensorflow.

  • Introduction to Language Technology Applications

July 2022, UPV/EHU Donostia-San Sebastian. Summer version, 5 days, 20 hours, labs with Scikit-learn, Flair, Spacy and Transformers

Winter 2022, UPV/EHU Donostia-San Sebastian. Winter version, 9 days, 22.5 hours, labs with Scikit-learn, Flair and Spacy

2021

  • Deep Learning for Natural Language Processing (DL4NLP)

July 2021, UPV/EHU San Sebastian. Summer version, 5 days, 20 hours, labs in Keras.

January 2021, UPV/EHU San Sebastian. Winter version, 3 weeks, 35 hours, labs in Tensorflow.

  • Introduction to Language Technology Applications

July 2021, UPV/EHU Donostia-San Sebastian. Summer version, 5 days, 20 hours, labs with Scikit-learn, Flair and Spacy

2020

  • Deep Learning for Natural Language Processing (DL4NLP)

July 2020, UPV/EHU San Sebastian. Summer version, 3 days, 20 hours, labs in Keras.

January 2020, UPV/EHU San Sebastian. Winter version, 3 weeks, 35 hours, labs in Tensorflow.

2019

  • Deep Learning for Natural Language Processing (DL4NLP)

July 2019, UPV/EHU San Sebastian. Summer version, 3 days, 20 hours, labs in Keras.

January 2019, UPV/EHU San Sebastian. Winter version, 3 weeks, 30 hours, labs in Tensorflow.

2018

  • Deep Learning for Natural Language Processing (DL4NLP)

July 2018, UC3M Madrid. Summer version, 3 days, 20 hours, labs in Keras.

January 2018, UPV/EHU San Sebastian. Winter version, 3 weeks, 30 hours, labs in Tensorflow.

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