Fake News Detection with Data Science
How can data science and deep learning be leveraged to detect fake news? Come on a journey with Mike Tamir, Head of Data Science at Uber ATG, who is building out a data science product that classifies text as news, editorial, satire, hate speech and fake news.
Mar 12, 2018
RelatedSee MoreSee More
blog
Data Demystified: Avoiding the AI Hype Trap
In part 11 of data demystified, we examine how AI is covered in the news, how it can lead to the AI hype trap, and how to not fall into it.
Richie Cotton
8 min
podcast
How Data Science and Machine Learning are Shaping Digital Advertising
Discover the role of data science in the online advertising world, the predictability of humans, how Claudia's team builds real time bidding algorithms and detects bots online, along with the ethical implications of all of these evolving concepts.
Hugo Bowne-Anderson
59 min
podcast
Post-Deployment Data Science
Hakim Elakhrass talks about post-deployment data science, the real-world use cases for tools like NannyML, the potentially catastrophic effects of unmonitored models in production and the most important skills for modern data scientists to cultivate.
Adel Nehme
34 min
podcast
Preventing Fraud in eCommerce with Data Science
In this episode of DataFramed, Adel speaks with Elad Cohen, VP of Data Science and Research at Riskified on how data science is being used to combat fraud in eCommerce.
Adel Nehme
52 min
tutorial
Detecting Fake News with Scikit-Learn
This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
Katharine Jarmul
15 min
tutorial
Detecting True and Deceptive Hotel Reviews using Machine Learning
In this tutorial, you’ll use a machine learning algorithm to implement a real-life problem in Python. You will learn how to read multiple text files in python, extract labels, use dataframes and a lot more!
Aditya Sharma
16 min