About Matthew Mayo

Matthew Mayo is Machine Learning Researcher and the Editor of KDnuggets, the seminal online Data Science and Machine Learning resource. He is particularly interested in unsupervised learning, deep neural networks, natural language processing, algorithm design and optimization, and distributed approaches to data processing and analysis. Matthew holds a Master's degree in CS and a graduate diploma in Data Mining. Email him at mattmayo at kdnuggets[dot]com.

Matthew Mayo Posts (273)

• NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing - 08 Jan 2019
  
  Trying to keep up with advancements at the overlap of neural networks and natural language processing can be troublesome. That's where the today's spotlighted resource comes in.
• Approaches to Text Summarization: An Overview - 03 Jan 2019
  
  This article will present the main approaches to text summarization currently employed, as well as discuss some of their characteristics.
• 3 More Google Colab Environment Management Tips - 02 Jan 2019
  
  This is a short collection of lessons learned using Colab as my main coding learning environment for the past few months. Some tricks are Colab specific, others as general Jupyter tips, and still more are filesystem related, but all have proven useful for me.
• Papers with Code: A Fantastic GitHub Resource for Machine Learning - 31 Dec 2018
  
  Looking for papers with code? If so, this GitHub repository, a clearinghouse for research papers and their corresponding implementation code, is definitely worth checking out.
• The Essence of Machine Learning - 28 Dec 2018
  
  And so now, as an exercise in what may seem to be semantics, let's explore some 30,000 feet definitions of what machine learning is.
• 10 More Must-See Free Courses for Machine Learning and Data Science - 20 Dec 2018
  
  Have a look at this follow-up collection of free machine learning and data science courses to give you some winter study ideas.
• Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019 - 18 Dec 2018
  
  This is a collection of data science, machine learning, analytics, and AI predictions for next year from a number of top industry organizations. See what the insiders feel is on the horizon for 2019!
• Machine Learning & AI Main Developments in 2018 and Key Trends for 2019 - 11 Dec 2018
  
  As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Machine Learning and AI experts as to the most important developments of 2018 and their 2019 key trend predictions.
• The Machine Learning Project Checklist - 07 Dec 2018
  
  In an effort to further refine our internal models, this post will present an overview of Aurélien Géron's Machine Learning Project Checklist, as seen in his bestselling book, "Hands-On Machine Learning with Scikit-Learn & TensorFlow."
• Deep Learning Cheat Sheets - 28 Nov 2018
  
  Check out this collection of high-quality deep learning cheat sheets, filled with valuable, concise information on a variety of neural network-related topics.