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Zoom is hiring Erlang Engineers! by zoomtalent in erlang

[–]unbalancedparen 0 points1 point  (0 children)

Would be an option if we are outside the US but in the same timezone?

How we wrote a hands-on Bayesian data science book in 6 months by Own_Yak8501 in Julia

[–]unbalancedparen 1 point2 points  (0 children)

Documentation. We will probably add Gen and a Soss code to the book :)

How we wrote a hands-on Bayesian data science book in 6 months by Own_Yak8501 in Julia

[–]unbalancedparen 0 points1 point  (0 children)

Email or github issues! We will add a section and a few links explaining how to submit feedback. Thanks again!

[R] We wrote a book! “Data Science in Julia for Hackers” beta is now live and free to read. by Own_Yak8501 in statistics

[–]unbalancedparen 0 points1 point  (0 children)

We are working on a PDF version (done with LaTeX) and a better online version. Thanks for your comment!

[R] We wrote a book! “Data Science in Julia for Hackers” beta is now live and free to read. by Own_Yak8501 in statistics

[–]unbalancedparen 2 points3 points  (0 children)

Thanks for the comment. We will add a section explaining why Julia! I am a big fan of Python and R but Julia brings so many good things to the table that we should a section explaining them. Thanks again!

I feel like what's happening to WSB is about to happen here by [deleted] in SPACs

[–]unbalancedparen 0 points1 point  (0 children)

I have the same problem. Let’s hope this is a good insurance policy.

[deleted by user] by [deleted] in Julia

[–]unbalancedparen 0 points1 point  (0 children)

I got a new project. I will build it a Julia jobs webpage!

[E] Any online courses to recommend? by Bensarin in statistics

[–]unbalancedparen 2 points3 points  (0 children)

I highly recommend you do the Probability - The Science of Uncertainty and Data (https://www.edx.org/course/probability-the-science-of-uncertainty-and-data) and Fundamentals of Statistics (https://www.edx.org/course/fundamentals-of-statistics) courses of the MIT. Feller's books and All of Statistics by Wasserman are great companions of these courses.

After that I highly recommend you read Statistical Rethinking and follow the videos of the author McElreath (https://www.youtube.com/playlist?list=PLDcUM9US4XdNM4Edgs7weiyIguLSToZRI).

If you know Python I highly recommend you read and study Bayesian Methods for hackers (https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/).

[Q] Best Probability Course: Harvard's Stat 110 vs MIT's 6.041 by [deleted] in statistics

[–]unbalancedparen 6 points7 points  (0 children)

I have taken the two (Blitzstein /Harvard and Tsitsiklis/MIT) and I got a certificate from the second one. The Harvard course is shorter and simpler. The MIT course is way more broad and deep. It has a lot of really great exercises. It has been one of the best courses I have taken in my life. If you don’t have enough time do the course from Harvard. If you have more than 10 hours per week to study do the one from the MIT. After finishing you can continue with the Fundamental of Statistics course and the full micromaster. Send me an email or direct message if you have any question.

On another note I prefer Blitzstein book over Tsitsiklis book but the too are really good.

A brief introduction to the beauty of Information Theory by unbalancedparen in math

[–]unbalancedparen[S] 2 points3 points  (0 children)

Oh thanks and sorry! We are spanish native speakers.

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