Location: Slovakia

Remote: Yes

Willing to relocate: Yes

Technologies: Python (numpy, sklearn, pandas, seaborn), SQL, Ruby on Rails, Java

Résumé/CV: https://dmacjam.github.io/about/

Email: jakub.macina@gmail.com

If somebody prefer a book instead, one of the recommended books for this course is book [1] Make it stick: The science of successful learning. The book is written by several cognitive scientist and it contains many useful tricks about learning. Here you can find a short summary containing main ideas of the book [2].

[1] https://www.amazon.com/Make-Stick-Science-Successful-Learnin...

[2] http://dmacjam.github.io/books/2016/10/01/make-it-stick/

I read this (similar) book recently and using the techniques in it I passed the AWS exams in a short space of time: https://www.amazon.com/How-We-Learn-Surprising-Happens/dp/08...

I would like to recommend one more MOOC that covers different models (economic models, modelling people behavior, randomness, collective actions -Prisoner's dilemma, segregation models) and make you start thinking about the world in term of models.

[1] https://www.coursera.org/learn/model-thinking

If anyone is interested in this course but would prefer to read a book instead, most of this class draws from "Micromotives and Macrobehaviors" by Nobel economist Thomas Schelling. The book basically serves as a compendium of different classes of models, and explores how counterintuitive behavior of the collective can arrive from perfectly reasonable and rational individual strategies of the actors.

It kind of reminds me of the explanation of how the crowd at the Hajj crush (on the front page earlier today) behaved more like a fluid than crowd of communicating agents because the human density was so high.

Thanks a lot for sharing it. I have just looked it up on Amazon and found that they say something like 'before Freaknomics ...'. What is the link between the two?

Freakonomics is a write up of several economics papers that used a statistical method called Instrumental Variables for causal analysis.

Schelling's book is a write-up of the theoretical predictions of several different game-theory models. I didn't notice much overlap between the two.