let’s roll, it’s Friday and DSB! My personal favorite in this volume is an article about optimization of a pokemon team from Analytical. Of course, the article itself is quite simple, but never mind that.
As always, enjoy your reading.
https://www.analyticsvidhya.com/blog/2021/11/optimizing-pokemon-team-using-pythons-pulp-library/ – How to optimize a pokemon team? Author is using the PuLp library for linear programming and optimization.
https://www.aidancooper.co.uk/a-non-technical-guide-to-interpreting-shap-analyses/ – How to read and interpret SHAP.
https://www.andrewheiss.com/blog/2021/11/08/beta-regression-guide – Comprehensive guide to modeling proportions with Bayesian beta and zero-inflated beta regression models.
Computer Science & Science
https://hakibenita.com/postgresql-unknown-features – PostgreSQL 14 was released a few weeks ago, so learn about known features of PostgreSQL. And there are many of them.
https://thenewstack.io/the-rise-of-event-driven-architecture/ – EDA (event driven architecture) is here for your API to handle complex asynchronous solutions. (rcmd by reader)
https://towardsdatascience.com/bamboolib-one-of-the-most-useful-python-libraries-you-have-ever-seen-6ce331685bb7 – Personally, I hate GUI. But you should at least know Bamboolib. Because it will make from your jupyter notebook a GUI for Pandas. Uff. (rcmd by reader)
Graphs and Visualizations
https://www.reddit.com/r/dataisbeautiful/comments/qq4vfu/co2_emissions_per_capita_in_2020_oc/ – Everyone knows about UN Climate Change Conference in Glasgow, so have a look who is the “best country” in the world in CO2 emission per capita. And yeah, we are pretty good… (rcmd by reader)
https://github.com/rougier/scientific-visualization-book – Scientific Python — Volume II: Scientific Visualization – Python & Matplotlib is an free-to-read book that will teach you how to how to tweak your boring matplotlib charts. Coming soon! (rcmd by reader)
https://juliadynamics.github.io/Agents.jl/stable/examples/zombies/ – Funny simulation of zombie outbrake on a map. (rcmd by reader)
Business and Career
https://counting.substack.com/p/what-data-folk-were-saying-about – A view of one quant on Zillow, a company that is an example of how one prediction model might almost ruin the whole company.
https://benn.substack.com/p/method-for-measuring-analytical-work – How to measure analytical work? And why is it so difficult?
https://www.forbes.com/sites/ronshevlin/2021/11/09/the-rise-of-technosocialism-and-its-impact-on-banking/ – Everybody
trusts in DeFi nowdays. How will decentralized finance affect banking or broadly the whole society?
https://neviditelnypes.lidovky.cz/veda/technika-na-ceste-k-digitalnimu-veku-i.A211028_165056_p_veda_wag – V DSB #120 bylo úžasné instruktážní video z roku 1953, jak nastavit námořní dělo. Samotná technika zaměřování v sobě snoubí dřevní počátky computer science a modelování, takže stojí za to tomu věnovat pozornost. Více se dozvíte v článku. (rcmd by reader)
https://bdtechtalks.com/2021/10/25/stanford-deep-evolutionary-reinforcement-learning/ – DERL is a simulation of Darwinian evolution and it shows some promissing results – like existance of Baldwin effect. (rcmd by reader)
https://venturebeat.com/2021/11/09/ai-driven-search-engine-you-com-takes-on-google-with-20m/ – You.com is a new AI-driven search engine. Should Google be afraid?
https://atozofai.withgoogle.com/intl/cs/ – Tohle je hodně dobrý. Jednoduchý průvodce AI pro širokou veřejnost na mnoho rozličných témat. Neuvěřitelný z jakých zdrojů můžou dneska nejen děti a studenti čerpat. (rcmd by reader)
https://evidentlyai.com/blog/ml-monitoring-drift-detection-vs-outlier-detection – Outlier detection vs drift detection. Nice and easy to understand article.
https://pjreddie.com/courses/computer-vision/ – Older introduction to computer vision by University of Washington from 2018.
Data & Libraries
https://github.com/ray-project/ray/ – API for building distributed applications. (rcmd by reader)
https://www.marktechpost.com/2021/10/30/google-research-introduces-scenic-an-open-source-jax-library-for-computer-vision-research/ – SCENIC is a Python library written in JAX for computer vision created by Google. Should be easy to use.
GitHub is here and paper is here. (rcmd by reader)
https://kapernikov.com/ipywidgets-with-matplotlib/ – Tutorial on ipywidgets in Jupyter Notebooks. And it’s a really good feature. (rcmd by reader)
https://old.reddit.com/r/MachineLearning/comments/oqyb7g/d_what_does_your_clouddocker_workflow_look_like/ – Interesting discussion about cloud/docker workflow. (rcmd by reader)
https://thundergolfer.com/kubernetes/infrastructure/data-engineering/2021/11/04/from-data-eng-to-sys-admin-put-down-k8s/ – Why is Kuberenetes sometimes very painful and why it’s not suitable for batch jobs.
https://danshiebler.com/2021-11-06-ml-systems-1/ – How to improve a ML system. This is the first part and is about broken abstraction.
Video & Podcast
https://open.spotify.com/episode/7npYk8dm3M8s0WTrBQrobR – Výborný díl Datacastu s Karlem Šimánkem z https://www.bighub.cz/ o budování AI řešení v cloudu. (rcmd by reader)
https://www.youtube.com/watch?v=c36lUUr864M – Deep Learning with PyTorch in 5 hours long video 😀
Papers & Books
https://www.sciencedaily.com/releases/2016/11/161129145640.htm – How is it with 30 million missing girls in China because of China’s one-child policy? Well, they are probably not missing at all, sometimes data are just wrong. (rcmd by reader)
https://www.amazon.com/Learning-Python-Second-Fran%C3%A7ois-Chollet/dp/1617296864 – On November 23rd will be released the second edition of Deep Learning with Python. (rcmd by reader)
https://arxiv.org/abs/2110.04374 – Is it better to have more parameters or more labeled examples? It depends on the task. More in paper. (rcmd by reader)
Behind the Fence
https://jobs.libertymutualgroup.com/job/14304782/analyst-ii-data-science-remote – Analyst II, Data Science in Liberty Mutual Insurance, Somerville, MA, USA.
https://workchronicles.com/temporary-fix/ (rcmd by reader)