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 (417)

• GitHub Copilot Open Source Alternatives - 29 Jul 2021
  
  GitHub's Copilot code generation tool is currently only available via approved request. Here are 4 Copilot alternatives that you can use in your programming today.
• Python Data Structures Compared - 27 Jul 2021
  
  Let's take a look at 5 different Python data structures and see how they could be used to store data we might be processing in our everyday tasks, as well as the relative memory they use for storage and time they take to create and access.
• The Best SOTA NLP Course is Free! - 21 Jul 2021
  
  Hugging Face has recently released a course on using its libraries and ecosystem for practical NLP, and it appears to be very comprehensive. Have a look for yourself.
• Date Processing and Feature Engineering in Python - 15 Jul 2021
  
  Have a look at some code to streamline the parsing and processing of dates in Python, including the engineering of some useful and common features.
• 5 Python Data Processing Tips & Code Snippets - 09 Jul 2021
  
  This is a small collection of Python code snippets that a beginner might find useful for data processing.
• GitHub Copilot: Your AI pair programmer – what is all the fuss about? - 05 Jul 2021
  
  GitHub just released Copilot, a code completion tool on steroids dubbed your "AI pair programmer." Read more about it, and see what all the fuss is about.
• Managing Your Reusable Python Code as a Data Scientist - 30 Jun 2021
  
  Here are a few approaches that I have settled on for managing my own reusable Python code as a data scientist, presented from most to least general code use, and aimed at beginners.
• Applied Language Technology: A No-Nonsense Approach - 25 Jun 2021
  
  Here is a free entry-level applied natural language processing course that can fit into any beginner's roadmap to understanding NLP. Check it out.
• What will the demand for Data Scientists be in 10 years? Will Data Scientists be extinct? - 24 Jun 2021
  
  Participate in the latest KDnuggets survey and share your opinion: what does the next decade have in store for data scientist demand?
• The Best Way to Learn Practical NLP? - 16 Jun 2021
  
  Hugging Face has just released a course on using its libraries and ecosystem for practical NLP, and it appears to be very comprehensive. Have a look for yourself.