https://www.linkedin.com/pulse/abstraction-data-science-great-combination-venkat-raman Abstraction and Data Science – Not a great combinationPublished on July 8, 2021Venkat RamanCo-Founder at Aryma Labs “Firstly, in normal programming, if you do abstraction, you just abstract away
What I Read: Five types of thinking
https://towardsdatascience.com/five-types-of-thinking-for-a-high-performing-data-scientist-8ab70d70c23b?gi=772956cb941c Thinking about thinking (Part 1)Five types of thinking for a high performing data scientistFrom mental models to computational thinkingAnand S RaoApr 25 “As data scientists, we have to understand
What I Read: Hiring Data Scientists
https://towardsdatascience.com/stop-hiring-data-scientists-improve-ml-product-team-retention-8ae04dac406e?gi=175fec4d5962 Stop (and Start) Hiring Data ScientistsThree “stop & start” tactics to improve talent retentionIan XiaoMay 14 “… we’ve been overly spotlighting the algorithmic work and success of data science
What I Read: Software Engineering Best Practices for Data Scientists
https://towardsdatascience.com/software-engineering-best-practices-for-data-scientists-4c199ede6e03?gi=f6afc2a55c8a Software Engineering Best Practices for Data ScientistsA crash course on how to bridge the gap between data science and software engineeringMadison HunterMar 12 “…data scientists should be able to
What I Read: technical debt, ML pipelines
https://towardsdatascience.com/avoiding-technical-debt-with-ml-pipelines-3e5b6e0c1c93?gi=8f8c9d302be Avoiding technical debt with ML pipelinesStrike a balance between rapid results and high-quality coding.Hamza Tahir “ML practitioners in many organizations are heavily incentivized to make quick-wins to produce early