Enroll Course: https://www.coursera.org/learn/processamento-neural-linguagem-natural-em-portugues-i
Are you interested in the exciting field of Natural Language Processing (NLP), specifically tailored for Portuguese? The course ‘Processamento Neural de Linguagem Natural em Português I’ offered by the Department of Computer Science at the Institute of Mathematics and Statistics of USP, with support from C4AI – USP-IBM-Fapesp Center for Artificial Intelligence and Google, is an excellent starting point. This course provides a comprehensive overview of how machine learning techniques can be applied to process and analyze Portuguese texts.
Throughout the course, learners delve into fundamental concepts such as the computational study of language, grammatical models, probabilistic models, and neural models. A significant focus is placed on neural networks, including feed-forward networks, which are essential for understanding more advanced NLP techniques. The course then explores word representation methods like word2vec, which revolutionized language processing by capturing the contextual meanings of words.
Further, the course introduces recurrent neural networks (RNNs) capable of processing larger sequences of text, with detailed discussions on practical models such as LSTM and GRU. These architectures are pivotal in handling long-range dependencies in language data, enabling applications like text classification, translation, and sentiment analysis.
If you’re aiming to develop skills in NLP for Portuguese, this course is highly recommended. It combines theoretical insights with practical programming exercises in Python, preparing you to implement state-of-the-art language models. Whether you’re a student, researcher, or industry professional, this course offers valuable knowledge to elevate your understanding and capabilities in neural language processing.
Enroll Course: https://www.coursera.org/learn/processamento-neural-linguagem-natural-em-portugues-i