What career roles is Fake News Detection with Machine Learning relevant for?

The skills and techniques in Fake News Detection with Machine Learning are most relevant for Data Scientist positions and other data science career paths.

Fake News Detection with Machine Learning | Coursera | Data Science & AI Course

Description

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.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Fake News Detection with Machine Learning are most similar to the requirements found in Data Scientist data science job advertisements.

Similarity Scores (Out of 100)

Fake News Detection with Machine Learning

Description

Career Relevance by Data Role

Fast Facts

Structure

Data Science Tools and Techniques Covered

Similar Opportunities

Introduction to Deep Learning in Python

Foundations of Neural Networks

Introduction to Deep Learning & Neural Networks with Keras

Neural Networks and Deep Learning

Deep Learning and Reinforcement Learning

Deep Learning with PyTorch

Advanced CNNs, Transfer Learning, and Recurrent Networks

Natural Language Processing with Sequence Models

Train and evaluate deep learning models

Select Learning Source