KDnuggets Home » News » 2021 » Aug » Top Stories » Top Stories, Aug 16-22: The Difference Between Data Scientists and ML Engineers; Prefect: How to Write and Schedule Your First ETL Pipeline with Python ( 21:n32 )

Most Popular Last Week

  1. The Difference Between Data Scientists and ML Engineers, by Kurtis Pykes
  2. Open Source Datasets for Computer Vision, by Kevin Vu
  3. Prefect: How to Write and Schedule Your First ETL Pipeline with Python, by Dario Radečić
  4. Most Common Data Science Interview Questions and Answers, by Nate Rosidi
  5. How to Select an Initial Model for your Data Science Problem, by Zachary Warnes

Most Shared Last Week

  1. Prefect: How to Write and Schedule Your First ETL Pipeline with Python, by Dario Radečić
  2. Open Source Datasets for Computer Vision, by Kevin Vu
  3. How to Select an Initial Model for your Data Science Problem, by Zachary Warnes
  4. Agile Data Labeling: What it is and why you need it, by Jennifer Prendki
  5. Stack Overflow Survey Data Science Highlights, by Matthew Mayo

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  1. 20 #MachineLearning Projects That Will Get You Hired in 2021
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  4. Data Scientist’s Guide to Efficient Coding in Python – KDnuggets
  5. A Learning Path To Becoming a #DataScientist #KDN

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  1. The Difference Between Data Scientists and ML Engineers, by Kurtis Pykes
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  3. Most Common Data Science Interview Questions and Answers, by Nate Rosidi
  4. GitHub Copilot Open Source Alternatives, by Matthew Mayo
  5. Advice for Learning Data Science from Google’s Director of Research, by Benjamin Obi Tayo

Most Shared Past 30 Days

  1. The Difference Between Data Scientists and ML Engineers, by Kurtis Pykes
  2. How to Query Your Pandas Dataframe, by Matthew Przybyla
  3. Why and how should you learn “Productive Data Science”?, by Tirthajyoti Sarkar
  4. Not Only for Deep Learning: How GPUs Accelerate Data Science & Data Analytics, by Kevin Vu
  5. Writing Your First Distributed Python Application with Ray, by Michael Galarnyk

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