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 (263)

• 10 Free Must-See Courses for Machine Learning and Data Science - 08 Nov 2018
  
  Check out a collection of free machine learning and data science courses to kick off your winter learning season.
• Machine Learning Classification: A Dataset-based Pictorial - 05 Nov 2018
  
  In order to relate machine learning classification to the practical, let's see how this concept plays out, step by step (and with images), specifically in direct relation to a dataset.
• Data Representation for Natural Language Processing Tasks - 02 Nov 2018
  
  In NLP we must find a way to represent our data (a series of texts) to our systems (e.g. a text classifier). As Yoav Goldberg asks, "How can we encode such categorical data in a way which is amenable for us by a statistical classifier?" Enter the word vector.
• Notes on Feature Preprocessing: The What, the Why, and the How - 26 Oct 2018
  
  This article covers a few important points related to the preprocessing of numeric data, focusing on the scaling of feature values, and the broad question of dealing with outliers.
• Implementing Automated Machine Learning Systems with Open Source Tools - 25 Oct 2018
  
  What if you want to implement an automated machine learning pipeline of your very own, or automate particular aspects of a machine learning pipeline? Rest assured that there is no need to reinvent any wheels.
• The Main Approaches to Natural Language Processing Tasks - 17 Oct 2018
  
  Let's have a look at the main approaches to NLP tasks that we have at our disposal. We will then have a look at the concrete NLP tasks we can tackle with said approaches.
• GitHub Python Data Science Spotlight: High Level Machine Learning & NLP, Ensembles, Command Line Viz & Docker Made Easy - 16 Oct 2018
  
  This post spotlights 5 data science projects, all of which are open source and are present on GitHub repositories, focusing on high level machine learning libraries and low level support tools.
• A Concise Explanation of Learning Algorithms with the Mitchell Paradigm - 05 Oct 2018
  
  A single quote from Tom Mitchell can shed light on both the abstract concept and concrete implementations of machine learning algorithms.
• Win KDnuggets Free Pass to Artificial Intelligence Conference London, Oct 8-11, 2018 - 28 Sep 2018
  
  Enter now to win a free KDnuggets Pass to AI Conference AI, Oct 8-11. Submit your entry by Oct 5, 2018, for your chance!
• You Aren’t So Smart: Cognitive Biases are Making Sure of It - 17 Sep 2018
  
  Cognitive biases are tendencies to think in certain ways that can lead to systematic deviations from a standard of rationality or good judgment. They have all sorts of practical impacts on our lives, whether we want to admit it or not.