To every author of materials listed below:
I was lucky to discover each of these pieces in time of need and despair ッ.
Data Science Learning Resources & cheat‑sheets
- TutorialsData Science tutorials & explanations. Mainly on math, algorithms and python.
Show me what you've got → - Cheat-sheetsSome essential formulas & concepts from calculus, probability, statistics, LaTeX.
Show me what you've got → - LaTeXSome good stuff have to have in favorites, like symbols, matrices, fractions & etc.
Show me what you've got →
Tutorials
Architecture, Layers, General principles. 30 pages
Cheat-sheets
- ProbabilityBased on MITx Course 6.431x Probability - The Science of Uncertainty and Data
Get it → - Probability – Mean, Variance & Covariance formulas
- Statistics
- Matrix Operations
- Multivariate Chain ruleMany text books missing it some why. Really usefull, especially to comprehend neural networks backpropagation principle
Get it → - R
Latex
- Math symbols & letters (oeis.org) - handy
Go there → - LaTeX in 30 minutes they were saying... I would multiply by 5... But still, it is very decent resourse with a lot of examples.
Go there → - The code to add Latex to your site. Just type two $ signs. Everything that is in between is LaTeX
Get the code →
Code to add to a page footer
<script type="text/x-mathjax-config">
MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]}});
</script>
<script type="text/javascript"
src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
</script>
MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]}});
</script>
<script type="text/javascript"
src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
</script>
What do you have in mind?
If there is something you would add to these lists - let me know
