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 (254)

• 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.
• Iterative Initial Centroid Search via Sampling for k-Means Clustering - 12 Sep 2018
  
  Thinking about ways to find a better set of initial centroid positions is a valid approach to optimizing the k-means clustering process. This post outlines just such an approach.
• Machine Learning Cheat Sheets - 11 Sep 2018
  
  Check out this collection of machine learning concept cheat sheets based on Stanord CS 229 material, including supervised and unsupervised learning, neural networks, tips & tricks, probability & stats, and algebra & calculus.
• 5 Things to Know About A/B Testing - 07 Sep 2018
  
  This article presents 5 things to know about A/B testing, from appropriate sample sizes, to statistical confidence, to A/B testing usefulness, and more.
• Data Science Cheat Sheet - 06 Sep 2018
  
  Check out this new data science cheat sheet, a relatively broad undertaking at a novice depth of understanding, which concisely packs a wide array of diverse data science goodness into a 9 page treatment.
• A Crash Course in MXNet Tensor Basics & Simple Automatic Differentiation - 16 Aug 2018
  
  This is an overview of some basic functionality of the MXNet ndarray package for creating tensor-like objects, and using the autograd package for performing automatic differentiation.
• GitHub Python Data Science Spotlight: AutoML, NLP, Visualization, ML Workflows - 08 Aug 2018
  
  This post includes a wide spectrum of data science projects, all of which are open source and are present on GitHub repositories.
• Best Deal in the Galaxy? Win KDnuggets Free Pass to Strata Data Conference NYC, Sep 11-13, 2018 - 30 Jul 2018
  
  Cutting-edge science and new business fundamentals intersect and merge at Strata Data Conference. Win KDnuggets Pass - submit your entry by Aug 9, 2018.
• The 4 Levels of Data Usage in Data Science - 09 Jul 2018
  
  This is an overview of the 4 levels, or "buckets," of data usage in business, starting at monitoring and progressing to automation.
• Automated Machine Learning vs Automated Data Science - 02 Jul 2018
  
  Just by adding the term "automated" in front of these 2 separate, distinct concepts does not somehow make them equivalent. Machine learning and data science are not the same thing.