Top Stories, Jul 26 – Aug 1: GitHub Copilot Open Source Alternatives; Why and how should you learn “Productive Data Science”?

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Top Stories, Jul 26 – Aug 1: GitHub Copilot Open Source Alternatives; Why and how should you learn “Productive Data Science”?


Also: Advice for Learning Data Science from Google’s Director of Research; Design patterns in machine learning; A Brief Introduction to the Concept of Data; 5 Mistakes I Wish I Had Avoided in My Data Science Career



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  2. Why and how should you learn “Productive Data Science”?, by Tirthajyoti Sarkar
  3. Advice for Learning Data Science from Google’s Director of Research, by Benjamin Obi Tayo
  4. Design patterns in machine learning, by Ágoston Török
  5. A Brief Introduction to the Concept of Data, by Angelica Lo Duca

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  4. A Brief Introduction to the Concept of Data, by Angelica Lo Duca
  5. GitHub Copilot Open Source Alternatives, by Matthew Mayo

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  4. Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python, by DaurEd
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  1. Data Scientists and ML Engineers Are Luxury Employees, by Adrien Biarnes
  2. Relax! Data Scientists will not go extinct in 10 years, but the role will change, by Gregory Piatetsky
  3. Pandas not enough? Here are a few good alternatives to processing larger and faster data in Python, by DaurEd
  4. Why and how should you learn “Productive Data Science”?, by Tirthajyoti Sarkar
  5. Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics, by Kevin Vu
Source: https://www.kdnuggets.com/2021/08/top-news-week-0726-0801.html

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