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.

OpenAI is Adopting PyTorch… They Aren’t Alone

By Matthew Mayo, KDnuggets Managing Editor on January 31, 2020 in Adoption, AI, Deep Learning, OpenAI, PyTorch
OpenAI is moving to PyTorch for the bulk of their research work. This might be a high-profile adoption, but it is far from the only such example.
Google Dataset Search Provides Access to 25 Million Datasets

By Matthew Mayo, KDnuggets Managing Editor on January 29, 2020 in Data Science, Datasets, Google, Search
Google's dataset search is out of beta, and provides centralized access to 25 million datasets.
What Do Data Scientists in Europe Do & How Much Are They Worth?

By Matthew Mayo, KDnuggets Managing Editor on January 23, 2020 in Data Science, Europe, Salary
Interested in knowing what a data scientist is worth in Europe, and what one does? Read this overview of a recent survey on the topic and gain some insight into the European data science professional job market.
What is a Data Scientist Worth?

By Matthew Mayo, KDnuggets Managing Editor on December 23, 2019 in Data Science, Salary, StackOverflow
What is the Salary of a Data Scientist in 2019? Let's have a look at some data to see how we can answer that question.
NeurIPS 2019 Outstanding Paper Awards

By Matthew Mayo, KDnuggets Managing Editor on December 11, 2019 in Conference, NeurIPS, Research
NeurIPS 2019 is underway in Vancouver, and the committee has just recently announced this year's Outstanding Paper Awards. Find out what the selections were, along with some additional info on NeurIPS papers, here.
5 Great New Features in Latest Scikit-learn Release

By Matthew Mayo, KDnuggets Managing Editor on December 10, 2019 in Data Preparation, Data Preprocessing, Ensemble Methods, Feature Selection, Gradient Boosting, K-nearest neighbors, Machine Learning, Missing Values, Python, scikit-learn, Visualization
From not sweating missing values, to determining feature importance for any estimator, to support for stacking, and a new plotting API, here are 5 new features of the latest release of Scikit-learn which deserve your attention.
AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020

By Matthew Mayo, KDnuggets Managing Editor on December 9, 2019 in 2020 Predictions, AI, Ajit Jaokar, Analytics, Andriy Burkov, Anima Anandkumar, Daniel Tunkelang, Data Science, Deep Learning, Machine Learning, Pedro Domingos, Research, Rosaria Silipo, Xavier Amatriain
As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.
10 Free Top Notch Machine Learning Courses

By Matthew Mayo, KDnuggets Managing Editor on December 6, 2019 in Books, Computer Vision, Courses, Deep Learning, Explainability, Graph Analytics, Interpretability, Machine Learning, NLP, Python
Are you interested in studying machine learning over the holidays? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to improving your machine learning skills.
Automated Machine Learning Project Implementation Complexities

By Matthew Mayo, KDnuggets Managing Editor on November 22, 2019 in Automated Machine Learning, Keras, Pipeline, Python
To demonstrate the implementation complexity differences along the AutoML highway, let's have a look at how 3 specific software projects approach the implementation of just such an AutoML "solution," namely Keras Tuner, AutoKeras, and automl-gs.
GitHub Repo Raider and the Automation of Machine Learning

By Matthew Mayo, KDnuggets Managing Editor on November 18, 2019 in Automated Machine Learning, GitHub, Machine Learning, Movies, Python
Since X never, ever marks the spot, this article raids the GitHub repos in search of quality automated machine learning resources. Read on for projects and papers to help understand and implement AutoML.

Matthew Mayo

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