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 (356)

• Free MIT Courses on Calculus: The Key to Understanding Deep Learning - 08 Jul 2020
  
  Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.
• PyTorch for Deep Learning: The Free eBook - 07 Jul 2020
  
  For this week's free eBook, check out the newly released Deep Learning with PyTorch from Manning, made freely available via PyTorch's website for a limited time. Grab it now!
• An Introduction to Statistical Learning: The Free eBook - 29 Jun 2020
  
  This week's free eBook is a classic of data science, An Introduction to Statistical Learning, with Applications in R. If interested in picking up elementary statistical learning concepts, and learning how to implement them in R, this book is for you.
• Free Economics & Finance Courses for Data Scientists - 25 Jun 2020
  
  Here is a selection of courses for those interested in diversifying their domain knowledge into the related realms of economics and finance, with the goal of being able to apply your data science skills to these domains.
• Bias in AI: A Primer - 23 Jun 2020
  
  Those interested in studying AI bias, but who lack a starting point, would do well to check out this introductory set of slides and the accompanying talk on the subject from Google researcher Margaret Mitchell.
• Simplified Mixed Feature Type Preprocessing in Scikit-Learn with Pipelines - 16 Jun 2020
  
  There is a quick and easy way to perform preprocessing on mixed feature type data in Scikit-Learn, which can be integrated into your machine learning pipelines.
• Understanding Machine Learning: The Free eBook - 15 Jun 2020
  
  Time to get back to basics. This week we have a look at a book on foundational machine learning concepts, Understanding Machine Learning: From Theory to Algorithms.
• Centroid Initialization Methods for k-means Clustering - 10 Jun 2020
  
  This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization.
• New Poll: What was the largest dataset you analyzed / data mined? - 09 Jun 2020
  
  Take part in KDnuggets latest survey to have your voice heard, and let the community know what the largest dataset size you have worked with is.
• Natural Language Processing with Python: The Free eBook - 08 Jun 2020
  
  This free eBook is an introduction to natural language processing, and to NLTK, one of the most prevalent Python NLP libraries.