Some Useful Links

Books on Various Machine Learning Topics

Some interesting and freely available books, which can be found at their respective authors websites:

Some additional interesting reading

Some programming language libraries

Python: handcalcs (render Python calculation code automatically in LaTeX)

C/C++ :

• gnuplot (info),
• Matplot++,
• GNU Scientific Library (e.g. random number distributions, or even regression)
• dlib (C++ toolkit, various machine learning algorithms)

Map of various distribution functions and their relationships:

• The Ontology and Knowledge Base of Probability Distributions (and direct PDF)
• Relationships among probability distributions
• Univariate distribution relationships
• Diagram of distribution relationships

Visualization:

Various types of charts/plots with explanations: The Data Visualisation Catalogue

Programming language rankings:

• PYPL (PopularitY of Programming Language) index;
• TIOBE (The Importance of Being Earnest) Index;
• Stack Overflow’s annual Developer Survey: 2019;
• IEEE Spectrum: The Top Programming Languages 2019.

Other

• An interesting map of the relationship between various papers from different economic fields: The structure of Recent Economics

Various Open (i.e. Freely available) Data Sources

• Kaggle datasets
• Open data of Lithuania. Also see:
  • Vilnius City Data;
  • Kaunas City Data
• USA Open Data Hub. Webpages for specific cities are also available. For example:
  • New York City Open Data,
  • Chicago Open Data,
  • Louisville Open Data;
  • etc.
• UC Irvine Machine Learning Repository
• American Time Use Survey (If webpage doesn’t work – try via WaybackMachine)