firstdifferences

Data scientist. Economist. Time series expert. R programmer. Blogger.

[Towards Data Science @TDataScience]

Are you interpreting your logistic regression correctly? by Christian Leschinski https://t.co/FgD7VI74wk

[firstdifferences @C_Leschinski]

@LaylaDanero For me reading @hadleywickham s papers was a good way to learn to understand ggplot. Check it out https://t.co/xrD5GJystq

[firstdifferences @C_Leschinski]

@LaylaDanero I am a big fan of ggplot. It takes some time to get used to the abstractions, but once you get to grips with the grammar of graphics you can create very complex plots in seconds.

[firstdifferences @C_Leschinski]

Why you should not try to predict stock markets. https://t.co/9Zj7omZS06

[firstdifferences @C_Leschinski]

Well, this is an interesting read. The economics of toilet paper are more intriguing than one would think. https://t.co/2rrBxE4zpl

[firstdifferences @C_Leschinski]

@fulhack When you model stock markets it is common to model the log price with a Gaussian process. That keeps the prices positive and makes them log-normal.

[firstdifferences @C_Leschinski]

All you fellow numberphiles and data nerds: this is a great intro to epidemiological models!
https://t.co/bbL9S6efzh

[firstdifferences @C_Leschinski]

Just went down an infographic rabbit hole and found this:

[Aaron Penne @aaronpenne]

Same charts, but side by side in a static image for easier comparison. Drug overdoses is the category between suicide and homicide.

[firstdifferences @C_Leschinski]

@rasbt @ClausWilke @jbloom_lab Probably in percent.

[firstdifferences @C_Leschinski]

Stock market crisis: is there a tennis ball effect? https://t.co/c5jyw3dGus

[firstdifferences @C_Leschinski]

Really a great resource to develop a better intuition what the algorithms are doing. Can you explain why which algorithm does what it does?

[Christopher Schmied @ChriSchmied]

Nice visualization of how different machine learning algorithms are classifying different datasets by @martweig presented by @IgnacioArganda at #neubiasBordeaux #MachineLearning #DeepLearning @scikit_learn

[firstdifferences @C_Leschinski]

Something is wrong with realized volatility https://t.co/u6RedM2gp3

[firstdifferences @C_Leschinski]

Really nice animation. Also great to see R rising, too.

[Marcus Borba @marcusborba]

Sep 2008 - Nov 2018: How Python became the dominant language thanks to ML via @Reza_Zadeh

#ArtificialIntelligence #DataScience #MachineLearning #programming #Python #AI #ML

[firstdifferences @C_Leschinski]

https://t.co/vHO1FFB2Re

[firstdifferences @C_Leschinski]

@nicebread303 @uri_sohn @lakens @mvugt @Rbloggers So far the package was only tested on Windows and Linux. I hope a stable version for MAC will follow soon.

[firstdifferences @C_Leschinski]

@uri_sohn @lakens @mvugt @Rbloggers @nicebread303 CRAN is not happy about examples with long run times that would be more appropriate.

[firstdifferences @C_Leschinski]

@uri_sohn @lakens @mvugt @Rbloggers @nicebread303 Just posted a reply. Examples are to small for parallelization to make sense: https://t.co/Oouad39xxe