courseraАнализ данных

Fake News Detection with Machine Learning

Курс от Coursera

Начальный≈ 1.9 чАнглийский

О курсе

In this hands-on project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus. This project could be practically used by any media company to automatically predict whether the circulating news is fake or not. The process could be done automatically without having humans manually review thousands of news related articles. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Навыки, которые вы освоите

Deep Learning Recurrent Neural Networks (RNNs)Data Preprocessing Plot (Graphics)Exploratory Data Analysis Text Mining Data Cleansing Automation Machine Learning Data Import/Export Model Training Natural Language Processing Python Programming Artificial Neural Networks

Программа курса

1 модулей · 4 учебных материалов

01NLP Fake News Detector4 материалов

NLP Fake News Detector

Project-based Course OverviewЧтение Fake News Detection with Machine LearningЛабораторная Graded Quiz: Test your Project UnderstandingЗадание Course End Survey - we appreciate your feedback

Учитесь у экспертов

Dr. Ryan Ahmed

Professor & AI Expert (1M+ Students)