Matthew Mayo

KDnuggets Managing Editor

Matthew Mayo (@mattmayo13) holds a master's degree in computer science and a graduate diploma in data mining. As managing editor of KDnuggets & Statology, and contributing editor at Machine Learning Mastery, Matthew aims to make complex data science concepts accessible. His professional interests include natural language processing, language models, machine learning algorithms, and exploring emerging AI. He is driven by a mission to democratize knowledge in the data science community. Matthew has been coding since he was 6 years old.

Where Did You Apply Analytics, Data Science, Machine Learning in 2020/2021?

By Matthew Mayo, KDnuggets Managing Editor on May 25, 2021 in Analytics, Data Science, Machine Learning, Poll, Survey
Take part in the latest KDnuggets survey, and let us know where you have been applying Analytics, Data Science, Machine Learning in 2020/2021.
Learn Neural Networks for Natural Language Processing Now

By Matthew Mayo, KDnuggets Managing Editor on April 30, 2021 in CMU, Courses, Neural Networks, NLP
Still haven't come across enough quality contemporary natural language processing resources? Here is yet another freely-accessible offering from a top-notch university that might help quench your thirst for learning materials.
Introducing The NLP Index

By Matthew Mayo, KDnuggets Managing Editor on April 29, 2021 in Datasets, NLP, Research
The NLP Index is a brand new resource for NLP code discovery, combining and indexing more than 3,000 paper and code pairs at launch. If you are interested in NLP research and locating the code and papers needed to understand an implement the latest research, you should check it out.
Top 10 Must-Know Machine Learning Algorithms for Data Scientists – Part 1

By Matthew Mayo, KDnuggets Managing Editor on April 22, 2021 in Algorithms, Bagging, Data Science, Data Scientist, Decision Trees, Linear Regression, Machine Learning, SVM, Top 10
New to data science? Interested in the must-know machine learning algorithms in the field? Check out the first part of our list and introductory descriptions of the top 10 algorithms for data scientists to know.
Free From Stanford: Machine Learning with Graphs

By Matthew Mayo, KDnuggets Managing Editor on April 19, 2021 in Courses, Free, Graphs, Jure Leskovec, Machine Learning, Stanford
Check out the freely-available Stanford course Machine Learning with Graphs, taught by Jure Leskovec, and see how a world renowned researcher teaches their topic of expertise. Accessible materials include slides, videos, and more.
Interpretable Machine Learning: The Free eBook

By Matthew Mayo, KDnuggets Managing Editor on April 9, 2021 in AI, Explainability, Explainable AI, Free ebook, Interpretability
Interested in learning more about interpretability in machine learning? Check out this free eBook to learn about the basics, simple interpretable models, and strategies for interpreting more complex black box models.
3 More Free Top Notch Natural Language Processing Courses

By Matthew Mayo, KDnuggets Managing Editor on March 31, 2021 in Andrew Ng, CMU, Coursera, Courses, deeplearning.ai, Neural Networks, NLP
Are you looking to continue your learning of natural language processing? This small collection of 3 free top notch courses will allow you to do just that.
Top YouTube Machine Learning Channels

By Matthew Mayo, KDnuggets Managing Editor on March 23, 2021 in Machine Learning, Youtube
These are the top 15 YouTube channels for machine learning as determined by our stated criteria, along with some additional data on the channels to help you decide if they may have some content useful for you.
Top YouTube Channels for Data Science

By Matthew Mayo, KDnuggets Managing Editor on March 1, 2021 in Data Science, Youtube
Have a look at the top 15 YouTube channels for data science by number of subscribers, along with some additional data on the channels to help you decide if they may have some content useful for you.
Machine Learning Systems Design: A Free Stanford Course

By Matthew Mayo, KDnuggets Managing Editor on February 26, 2021 in Courses, Deployment, Design, Machine Learning, Maintenance, Stanford
This freely-available course from Stanford should give you a toolkit for designing machine learning systems.

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