Introduction to artificial intelligence
Introduction to artificial intelligence
Learn the basic concepts of Artificial Intelligence and its practical applications, see the mathematical bases, calculus, linear algebra, probability. Supervised, unsupervised, reinforcement learning, see the different classifiers, cross-validation, discriminant analysis, classification trees and the basic operation of artificial neurons
Specific goals | Temary
OBJECTIVES
- Learn how neural networks work, learn learning methods, learn classification methods, learn to create a neural network
SYLLABUS
- What is AI?
- Practical applications of AI
- What are and how do neural networks work?
- Mathematical bases used
- Learning methods (Supervised, unsupervised, reinforcement)
- Classification methods (Cross-validation, discriminant analysis)
- Configuration of model layers
- Image classification + Basic text classification
- GPT, language models and generative AI
Editions
Fri 20/09/24 (10:00-14:00h)
Fri 27/09/24 (10:00-14:00h)
Cibernàrium-22@
Carrer Roc Boronat, 117 - 127,
BARCELONA
Wed 23/10/24 (16:00-20:00h)
Thu 24/10/24 (16:00-20:00h)
Cibernàrium-22@
Carrer Roc Boronat, 117 - 127,
BARCELONA
General information
>> In case the format is virtual via streaming, it will be carried out through the free platform Microsoft Teams. Registered individuals will receive the invitation link and access instructions by email before the session starts.
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>> The language in which each session is conducted is informed in the description of each activity.
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Course ratings
Lesson taught by
PÉREZ PÉREZ
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