About Dan Clark

Dan Clark is KDnuggets Assistant Editor and Contributor. He currently works as an Interactive Journalist at The Times and The Sunday Times, having recently achieved an MSc in Computational and Data Journalism at Cardiff University. He has experience in web development, SQL, Data Visualization, and related technologies. He tweets at @Dan_Clark5.

Dan Clark Posts (20)

• State of the art in AI and Machine Learning – highlights of papers with code - 20 Feb 2019
  
  We introduce papers with code, the free and open resource of state-of-the-art Machine Learning papers, code and evaluation tables.
• The Best and Worst Data Visualizations of 2018 - 08 Feb 2019
  
  We reflect on some of the best examples of Data Visualization throughout 2018, before focussing on some of the not-so-good and how these can be improved.
• Top Active Blogs on AI, Analytics, Big Data, Data Science, Machine Learning – updated - 14 Jan 2019
  
  Stay up-to-date with the latest technological advancements using our extensive list of active blogs; this is a list of 100 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.
• Top Python Libraries in 2018 in Data Science, Deep Learning, Machine Learning - 19 Dec 2018
  
  Here are the top 15 Python libraries across Data Science, Data Visualization. Deep Learning, and Machine Learning.
• Top 10 Python Data Science Libraries - 16 Nov 2018
  
  The third part of our series investigating the top Python Libraries across Machine Learning, AI, Deep Learning and Data Science.
• Top 13 Python Deep Learning Libraries - 02 Nov 2018
  
  Part 2 of a new series investigating the top Python Libraries across Machine Learning, AI, Deep Learning and Data Science.
• Top 8 Python Machine Learning Libraries - 09 Oct 2018
  
  Part 1 of a new series investigating the top Python Libraries across Machine Learning, AI, Deep Learning and Data Science.
• Top /r/MachineLearning posts, August 2018: Everybody Dance Now; Stanford class Machine Learning cheat sheets; Academic Torrents for sharing enormous datasets - 15 Sep 2018
  
  A range of interesting posts from the /r/MachineLearning Reddit group for the month of August, including: Everybody Dance Now; Stanford class Machine Learning cheat sheets; Academic Torrents; Getting Alexa to respond to sign language using TensorFlow; PyCharm IDE.
• Docker Cheat Sheet - 21 Aug 2018
  
  This comprehensive cheat sheet will assist Docker users, experienced and new, in getting containers up-and-running quickly. We list commands that will allow users to install, build, ship and run Docker containers.
• Data Scientist guide for getting started with Docker - 14 Aug 2018
  
  Docker is an increasingly popular way to create and deploy applications through virtualization, but can it be useful for data scientists? This guide should help you quickly get started.