and Yabba Dabba Doo! It’s Friday and you can start your weekend with DSB! I definitely recommend the video from Behind the Fence by Netflix, or the article how data science is losing its attractiveness from Business and Career.
As always, enjoy your reading.
https://eugeneyan.com/writing/patterns-for-personalization/ – How does personalization works and which groups of methods we can distinguish.
https://towardsdatascience.com/automated-machine-learning-using-pycaret-4bb90ab3e2c7 – AutoML with PyCaret.
https://codeascraft.com/2021/06/02/increasing-experimentation-accuracy-and-speed-by-using-control-variates/ – What
is CUPED and how it can help with more informed product decisions and also fasten the experiments?
Computer Science & Science
https://www.sciencedaily.com/releases/2021/06/210616113818.htm – What kind of errors can a quantum computer have and what happens or means if they are correlated.
https://greg-kennedy.medium.com/attack-of-the-robot-authors-7fb51d4efff6 – Examples of what nowadays are computers able to write. See yourself whether they’re good or not.
https://www.freecodecamp.org/news/system-design-interview-practice-tutorial/ – System desing interview – how to handle it and how to understand a system.
Graphs and Visualizations
https://github.com/mathisonian/awesome-visualization-research – List of data visualizations research papers, books, blog posts, and others. (rcmd by reader)
https://www.analyticsvidhya.com/blog/2021/06/build-user-interface-with-gradio-for-your-deep-learning-project – Bulding
UI for your ML model, function, or API with Gradio.
https://www.analyticsvidhya.com/blog/2021/06/uber-and-lyft-cab-prices-data-analysis-and-visualization/ – Let’s play with
Uber and Lyft data and get an insight with some simple visualizations.
Business and Career
https://medium.com/swlh/why-so-many-data-scientists-quit-good-jobs-at-great-companies-429ea61fb566 – Data science is loosing its appeal, the reality setup by organisation is not meeting with expectations. (rcmd by reader)
https://krebsonsecurity.com/2021/06/how-does-one-get-hired-by-a-top-cybercrime-gang – This is how you get a job for a malware-as-a-service platform.
https://jessitron.com/2021/06/12/the-enterprise-eats-software – Corporate vs good software: “It is possible to build a good software team that can build good software, inside an enterprise. It takes shielding to protect them from the constraints that the company imposes.” (rcmd by reader)
https://www.sciencemag.org/news/2021/06/are-advertisers-coming-your-dreams – Research about dreams is quite interesting and also disturbingly attractive for companies like Amazon. Imagine your intelligent speaker trying to influence you while you sleep. (rcmd by reader)
https://thegradient.pub/how-has-ai-contributed-to-dealing-with-the-covid-19-pandemic – How did ML helped or not helped with the fight against COVID-19? A really long article but very interesting reading.
https://www.engadget.com/apple-considered-launching-its-own-primary-healthcare-service – Apple is considering its own primary healthcare service and it’s all about the data.
https://www.analyticsvidhya.com/blog/2021/06/support-vector-machine-better-understanding – Quite comprehensive article about SVM.
https://www.aicrowd.com/challenges/neurips-2021-the-nethack-challenge – Design an agent which can navigate the procedurally generated ascii dungeons in NetHack in this NeurlPS Challenge! Or challenge about Minecraft diamond mining. (rcmd by reader)
Data & Libraries
https://spin.atomicobject.com/2021/02/04/redis-postgresql/ – Redis is a popular Key-Value NoSQL database, yet the PostgreSQL can still be more than enough. (rcmd by reader)
https://www.allthingsdistributed.com/2021/06/amazon-timestream-time-series-is-the-new-black.html – New AWS service for data streaming (e.g. video) called Timestream. (rcmd by reader)
https://twimlai.com/solutions/introducing-twiml-ml-ai-solutions-guide/ – There are so many ML platforms that one can easily lose his/her head. Use this to compare them and find what suits you. (rcmd by reader)
https://gradientflow.com/machine-learning-model-monitoring/ – ML models monitoring, its features and why it’s important.
https://www.analyticsvidhya.com/blog/2021/06/deploy-machine-learning-models-leveraging-cherrypy-and-docker – Deploying a model with CherryPy and Docker. With code, of course.
Video & Podcast
https://www.youtube.com/c/PyConUS – Videos from PyCon US 2021. (rcmd by reader)
https://www.youtube.com/watch?v=LlKAna21fLE – Linear algebra for ML.
Papers & Books
https://paperswithcode.com/paper/probabilistic-gradient-boosting-machines-for – Probabilistic Gradient Boosting Machines (PGBM) beats traditional GBM.
https://paperswithcode.com/paper/programming-puzzles – Python Programming Puzzles (P3), enhance your Python powers!
https://arxiv.org/abs/2005.04305 – Let’s see how algorithmic efficiency of NN is evolving. It doubles every 16 months.
Behind the Fence
https://twitter.com/WeAreNetflix/status/1405609397913481216 – Data Engineer in Netflix. Hilarious video, this is how you do your job advertisement. (rcmd by reader)