Limarc Ambalina is a contributing editor at KDnuggets and a content writer focusing on AI, tech, and popular culture. He is particularly interested in computer vision, virtual reality, synthetic voices, and data analytics. He is a Top Writer in Virtual Reality on Medium and has been published on Towards Data Science, Hacker Noon, Gengo, and Lionbridge AI. Email him at limarc.ambalina at gengo[dot]com.
NLP and deep learning continue to advance, nearly on a daily basis. Check out these recent must-read guides, feature articles, and other resources to keep you on top of the latest advancements and ahead of the curve.
The technologies that generate deepfake content is at the forefront of manipulating humans. While the research developing these algorithms is fascinating and will lead to powerful tools that enhance the way people create and work, in the wrong hands, these same tools drive misinformation at a scale we can't yet imagine. Stopping these bad actors using awesome tools is in your hands.
The Youtube videos on this list cover concepts such as what machine learning is, the basics of natural language processing, how computer vision works, and machine learning in video games.
Data pre-processing is not only the largest time sink for most Data Scientists, but it is also the most crucial aspect of the work. Learn more about training data and data processing tasks from 5 leading academic papers.
This list will feature some of the recent work and discoveries happening in machine learning, as well as guides and resources for both beginner and intermediate data scientists.
From network security to financial fraud, anomaly detection helps protect businesses, individuals, and online communities. To help improve anomaly detection, researchers have developed a new approach called MIDAS.
Must-read NLP and Deep Learning articles for Data Scientists
5 Papers on CNNs Every Data Scientist Should Read
10 Must-read Machine Learning Articles (March 2020)
Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs