courseraАнализ данных

NLP in Engineering: Concepts & Real-World Applications

Курс от Northeastern University

Уровень не указан≈ 13.5 чАнглийский

О курсе

This course provides an overview of some different Natural Language Processing (NLP) techniques, their underlying principles, and their applications in engineering. The focus will be on the practical implementation of NLP methods such as word embeddings, neural networks, attention mechanisms, and advanced deep learning models to solve real-world engineering problems.

Навыки, которые вы освоите

Embeddings Natural Language Processing Model Optimization Artificial Neural Networks Machine Learning Methods Recurrent Neural Networks (RNNs)Responsible AI Classification Algorithms Machine Learning Data Ethics Artificial Intelligence Deep Learning Model Training

Программа курса

4 модулей · 95 учебных материалов

01Introduction to Speech, Language, and Natural Language Processing24 материалов

Welcome!

Course OverviewЧтение Syllabus - NLP in Engineering: Concepts & Real-World ApplicationsЧтение Meet Your Fellow LearnersОбсуждение Academic IntegrityЧтение

Lesson 1: What is NLP?

Учитесь у экспертов

Ramin Mohammadi

Преподаватель курса

NLP in Engineering: Concepts & Real-World Applications

О курсе

Навыки, которые вы освоите

Программа курса

Welcome!

Lesson 1: What is NLP?

Учитесь у экспертов

Ramin Mohammadi

Lesson 2: Motivation

Module 1 Discussion

Lesson 1: How Machine Learning Enables NLP

Lesson 2: Optimization Techniques

Module 2 Discussion

Lesson 1: Named Entity Recognition (NER) & Neural Networks

Lesson 2: Common Cost Functions

Module 3 Discussion

Lesson 1: GloVe

Lesson 2: Word2Vec

Lesson 3: Skip-Gram

Module 4 Discussion

Course Conclusion