Am Neumarkt 😱

#ml#statistics I read about conformal prediction a while ago and realized that I need to understand more about the hypothesis testing theories. As someone from natural science, I mostly work within the Neyman-Pearson ideas. So I explored it a bit and found two nice papers. See the list below. If you have other papers on similar topics, I would appreciate some comments. 1. Perezgonzalez JD. Fisher, Neyman-Pearson or NHST? A tutorial for teaching data testing. Front Psychol. 2015;6: 223. doi:10.3389/fpsyg.2015.00223 https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00223/full 2. Lehmann EL. The Fisher, Neyman-Pearson Theories of Testing Hypotheses: One Theory or Two? J Am Stat Assoc. 1993;88: 1242–1249. doi:10.2307/2291263

https://refactoring.guru/design-patterns/catalog 挺有设计感的 refactoring tutorial #java#refactoring#desginpattern

#jobs I vaguely feel there's a talent shortage in Germany. "Hiring is hard". I heard this several times. Our team also need more hires. So the company came up with this: Land a job at Zalando within 3 days after the final interviews! https://jobs.zalando.com/en/jobs/4004181/?gh_src=%20f46af3281us

#fun Every chemistry graduate will be in charge of a molecule. Someone got to take care of “Titin” (189,819 characters), and she/he will have to recite the name first in every meeting: https://en.wiktionary.org/wiki/Appendix:Protologisms/Long_words/Titin#Noun https://xkcd.com/2602/

#smarthome#misc I have, somehow, 5 different brands of smart home products in our little apartment. I have no idea what is going on in the smart home industry. Every brand has its own app, hub, or even protocal. So I had to install five different apps to initialize the devices. I could, in principle, ditch these apps and use google/alexa only after I installed them, however, this is still extremely inconvenient as google/alexa doesn’t support all the fancy functions of the devices. Any solutions to this problem?

#fun Not bad. 😂 The Big Data Game | Firebolt https://www.firebolt.io/big-data-game

#visualization#fun The Dunning-Kruger effect is quite real 😂 Infographic: 50 Cognitive Biases in the Modern World https://www.visualcapitalist.com/50-cognitive-biases-in-the-modern-world/

#visualization Plot Overview for Matplotlib Users / Observable / Observable https://observablehq.com/@observablehq/plot-overview-for-matplotlib-users

#ml Interesting... There're some discussions on the lottery ticket hypothesis. https://www.reddit.com/r/MachineLearning/comments/tqjd3w/d_neural_networks_are_not_the_only_universal/

#ml Beautiful and systematic derivation showing how and why negative sampling works Negative sampling is a great technique to estimate the softmax especially when the calculation of the partition function is intractable. It's used in word2vec, and many other models such as node2vec. Goldberg Y, Levy O. word2vec Explained: deriving Mikolov et al.’s negative-sampling word-embedding method. arXiv [cs.CL]. 2014. Available: http://arxiv.org/abs/1402.3722