Explore machine learning techniques for detecting and understanding fake news in this 34-minute conference talk by João Lucas Vale Assis from SUSE. Gain insights into the fundamentals of machine learning, digital media, and web scraping. Learn about data preprocessing, word vectorization, and classification methods such as Passive Aggressive algorithms. Follow the pipeline summary, watch a live demonstration, and discover the results of applying these techniques to fake news detection. Conclude by examining potential future developments in this critical area of research.
Applying Machine Learning Techniques to Detect and Understand Fake News
Overview
Syllabus
Introduction
What is Machine Learning
Who am I
What I used
Back to the basics
Background
Digital Media
Machine Learning
Data
Web Scraping
Preprocessing
Word to Vac
Classification
Passive Aggressive
Pipeline Summary
Demo
Results
Future Work
Taught by
Linux Foundation
