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.

Understanding Machine Learning: The Free eBook

By Matthew Mayo, KDnuggets Managing Editor on June 15, 2020 in Algorithms, Book, Free ebook, Machine Learning
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.
New Poll: What was the largest dataset you analyzed / data mined?

By Matthew Mayo, KDnuggets Managing Editor on June 9, 2020 in Big Data, Datasets, Largest, Poll
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

By Matthew Mayo, KDnuggets Managing Editor on June 8, 2020 in Free ebook, NLP, NLTK, Python
This free eBook is an introduction to natural language processing, and to NLTK, one of the most prevalent Python NLP libraries.
From Languages to Information: Another Great NLP Course from Stanford

By Matthew Mayo, KDnuggets Managing Editor on June 3, 2020 in Courses, NLP, Stanford
Check out another example of a Stanford NLP course and its freely available courseware.
Deep Learning for Coders with fastai and PyTorch: The Free eBook

By Matthew Mayo, KDnuggets Managing Editor on June 1, 2020 in Deep Learning, fast.ai, Free ebook, Jeremy Howard, PyTorch
If you are interested in a top-down, example-driven book on deep learning, check out the draft of the upcoming Deep Learning for Coders with fastai & PyTorch from fast.ai team.
Dataset Splitting Best Practices in Python

By Matthew Mayo, KDnuggets Managing Editor on May 26, 2020 in Datasets, Python, scikit-learn, Training Data, Validation
If you are splitting your dataset into training and testing data you need to keep some things in mind. This discussion of 3 best practices to keep in mind when doing so includes demonstration of how to implement these particular considerations in Python.
Python For Everybody: The Free eBook

By Matthew Mayo, KDnuggets Managing Editor on May 25, 2020 in Algorithms, Free ebook, Programming, Python
Get back to fundamentals with this free eBook, Python For Everybody, approaching the learning of programming from a data analysis perspective.
The Best NLP with Deep Learning Course is Free

By Matthew Mayo, KDnuggets Managing Editor on May 22, 2020 in Course, Deep Learning, NLP, Stanford
Stanford's Natural Language Processing with Deep Learning is one of the most respected courses on the topic that you will find anywhere, and the course materials are freely available online.
Automated Machine Learning: The Free eBook

By Matthew Mayo, KDnuggets Managing Editor on May 18, 2020 in Automated Machine Learning, AutoML, Free ebook, Machine Learning
There is a lot to learn about automated machine learning theory and practice. This free eBook can get you started the right way.
DeepMind’s Suggestions for Learning #AtHomeWithAI

By Matthew Mayo, KDnuggets Managing Editor on May 13, 2020 in AI, Courses, Deep Learning, DeepMind, Neural Networks, Reinforcement Learning
DeepMind has been sharing resources for learning AI at home on their Twitter account. Check out a few of these suggestions here, and keep your eye on the #AtHomeWithAI hashtag for more.

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