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 (390)

• Approaching (Almost) Any Machine Learning Problem - 18 Feb 2021
  
  This freely-available book is a fantastic walkthrough of practical approaches to machine learning problems.
• Getting Started with 5 Essential Natural Language Processing Libraries - 03 Feb 2021
  
  This article is an overview of how to get started with 5 popular Python NLP libraries, from those for linguistic data visualization, to data preprocessing, to multi-task functionality, to state of the art language modeling, and beyond.
• Graph Representation Learning: The Free eBook - 19 Jan 2021
  
  This free eBook can show you what you need to know to leverage graph representation in data science, machine learning, and neural network models.
• JupyterLab 3 is Here: Key reasons to upgrade now - 08 Jan 2021
  
  Read about these 3 reasons for checking out JupyterLab 3 today.
• 15 Free Data Science, Machine Learning & Statistics eBooks for 2021 - 31 Dec 2020
  
  We present a curated list of 15 free eBooks compiled in a single location to close out the year.
• Generating Beautiful Neural Network Visualizations - 30 Dec 2020
  
  If you are looking to easily generate visualizations of neural network architectures, PlotNeuralNet is a project you should check out.
• Data Science and Machine Learning: The Free eBook - 15 Dec 2020
  
  Check out the newest addition to our free eBook collection, Data Science and Machine Learning: Mathematical and Statistical Methods, and start building your statistical learning foundation today.
• State of Data Science and Machine Learning 2020: 3 Key Findings - 15 Dec 2020
  
  Kaggle recently released its State of Data Science and Machine Learning report for 2020, based on compiled results of its annual survey. Read about 3 key findings in the report here.
• R or Python? Why Not Both? - 09 Dec 2020
  
  Do you use both R and Python, either in different projects or in the same? Check out prython, an IDE designed to handle your needs.
• AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021 - 03 Dec 2020
  
  2020 is finally coming to a close. While likely not to register as anyone's favorite year, 2020 did have some noteworthy advancements in our field, and 2021 promises some important key trends to look forward to. As has become a year-end tradition, our collection of experts have once again contributed their thoughts. Read on to find out more.