About Limarc Ambalina

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.

Limarc Ambalina Posts (10)

  • Gold BlogMust-read NLP and Deep Learning articles for Data Scientists - 21 Aug 2020
    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.
  • 5 Innovative AI Software Companies You Should Know - 08 Jul 2020
    While machine learning is impacting organizations around the world, some are driving forward the real-world applications of innovative AI. Check out these interesting companies to watch for exciting new progress this year.
  • Tools to Spot Deepfakes and AI-Generated Text - 23 Jun 2020
    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.
  • Best Machine Learning Youtube Videos Under 10 Minutes - 16 Jun 2020
    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.
  • 5 Essential Papers on Sentiment Analysis - 09 Jun 2020
    To highlight some of the work being done in the field, here are five essential papers on sentiment analysis and sentiment classification.
  • 5 Essential Papers on AI Training Data - 04 Jun 2020
    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.
  • 5 Machine Learning Papers on Face Recognition - 28 May 2020
    This article will highlight some of that research and introduce five machine learning papers on face recognition.
  • Silver Blog5 Papers on CNNs Every Data Scientist Should Read - 20 Apr 2020
    In this article, we introduce 5 papers on CNNs that represent both novel approaches and baselines in the field.
  • Gold Blog10 Must-read Machine Learning Articles (March 2020) - 09 Apr 2020
    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.
  • Silver BlogPlatinum BlogIntroducing MIDAS: A New Baseline for Anomaly Detection in Graphs - 01 Apr 2020
    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.