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 Must-read NLP and Deep Learning articles for Data Scientists
By Limarc Ambalina, KDnuggets on August 21, 2020 in Deep Learning, Google, GPT-3, NLP, OpenAI, Privacy, Research, Self-Driving, TensorFlow, TrendsNLP 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.
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Tools to Spot Deepfakes and AI-Generated Text
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.
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Best Machine Learning Youtube Videos Under 10 Minutes
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.
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5 Essential Papers on Sentiment Analysis
To highlight some of the work being done in the field, here are five essential papers on sentiment analysis and sentiment classification.
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5 Essential Papers on AI Training Data
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.
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5 Machine Learning Papers on Face Recognition
This article will highlight some of that research and introduce five machine learning papers on face recognition.
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 5 Papers on CNNs Every Data Scientist Should Read
In this article, we introduce 5 papers on CNNs that represent both novel approaches and baselines in the field.
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10 Must-read Machine Learning Articles (March 2020)
By Limarc Ambalina, KDnuggets on April 9, 2020 in AI, API, Cloud, Data Analytics, Datasets, fast.ai, Machine Learning, Neural Networks, Social MediaThis 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.
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  Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs
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.
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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