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Issue #25

Nov 17, 2019
Dear friends,

Welcome to this weeks edition of the Sunday Briefing. This issue is packed full of articles on visualization, color theory and memory management techniques for large datasets. We also dip our toes on statistical learning and metric learning for graphs with some recent articles. Finaly, in our video fo the week Vincent Warmerdam discusses the profession of solving (the wrong problem) at a recent European edition of PyData.

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Semper discentes,

The D4S team

Top Links:

Tutorials and blog posts that came across our desk this week.
  1. Why scientists need to be better at data visualization [knowablemagazine.org]
  2. Color Theory Explained for Marketers and Small Business Owners [shutterstock.com]
  3. 2D Visualization of a Convolutional Neural Network [scs.ryerson.ca]
  4. Why scientists need to be better at data visualization [knowablemagazine.org]
  5. AI Copernicus ‘discovers’ that Earth orbits the Sun [nature.com]
  6. Computers Evolve a New Path Toward Human Intelligence [quantamagazine.org]
  7. When your data doesn’t fit in memory: the basic techniques [pythonspeed.com]
  8. Introduction to Recommender Systems in 2019 [tryolabs.com]
  9. The Unparalleled Genius of John von Neumann [medium.com/cantors-paradise]
  10. PhDs: the tortuous truth [nature.com]

Fresh off the press:

Some of the most interesting academic papers published recently.

Video of the week:

Interesting discussions, ideas or tutorials that came across our desk.
 

The profession of solving (the wrong problem)
https://www.youtube.com/watch?v=kYMfE9u-lMo

Upcoming Events:

Opportunities to learn from us
  1. Nov 18, 2019 - Graphs and Network Algorithms from Scratch [SOLD OUT] 
  2. Dec 04, 2019 - Data Visualization with matplotlib and seaborn [Register] 
  3. Dec 11, 2019 - Deep Learning From Scratch [Register] 
  4. Jan 17, 2019 - Time Series for Everyone [Coming Soon] 🆕
  5. Jan 27, 2019 - Applied Probability Theory for Everyone [Coming Soon] 🆕
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