Enroll Course: https://www.coursera.org/learn/processamento-neural-linguagem-natural-em-portugues-i
In today’s digital age, the ability to process and understand language through technology is more important than ever. For those interested in diving into the world of Natural Language Processing (NLP), the course ‘Processamento Neural de Linguagem Natural em Português I’ offered by the Department of Computer Science at the Institute of Mathematics and Statistics at USP is an excellent starting point.
This course is supported by the C4AI – USP-IBM-Fapesp Center for Artificial Intelligence and Google, ensuring that the content is not only relevant but also cutting-edge.
### Course Overview
The course begins with an introduction to the computational study of language, covering grammatical models, probabilistic models, and neural models. This foundational knowledge is crucial for understanding the complexities of NLP.
### Key Modules
1. **Introduction to Neural Networks**: This module provides a modern perspective on Feed-forward neural networks, also known as Multilayer Perceptrons. You’ll learn how these networks function, how they can be trained, and their applications in classification tasks.
2. **Word Representation and Processing**: Here, you will discover how words can be represented as sequences of values in a multidimensional space, and how these representations can be processed.
3. **word2vec**: This module delves into the revolutionary method of word2vec, which encodes the contexts in which words frequently occur. Understanding this method is essential for anyone looking to work with NLP.
4. **Recurrent Neural Networks (RNNs)**: As you progress, you will learn about RNNs, which are designed to handle sequences of increasing length while capturing contextual information. This module also introduces the sequence-to-sequence model, widely used in NLP today.
5. **Practical Recurrent Models: LSTM and GRU**: The course concludes with an exploration of Long Short Term Memory (LSTM) networks and Gated Recurrent Units (GRUs). These architectures are crucial for processing texts of unlimited length, balancing recent and distant contextual information.
### Why You Should Enroll
This course is not just theoretical; it equips you with practical skills in Python programming for training and executing NLP models. By the end of the course, you will have a solid understanding of how machine learning can be applied to process Portuguese texts, making it an invaluable resource for anyone looking to enhance their skills in this field.
Whether you are a student, a professional looking to upskill, or simply someone passionate about technology and language, ‘Processamento Neural de Linguagem Natural em Português I’ is a highly recommended course that will provide you with the tools you need to succeed in the realm of NLP. Don’t miss out on the opportunity to learn from experts in the field and gain hands-on experience with cutting-edge technologies.
Enroll Course: https://www.coursera.org/learn/processamento-neural-linguagem-natural-em-portugues-i