Top October Stories: Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science; fastcore: An Underrated Python Library

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October was a document month for KDnuggets, with an all-time excessive variety of guests, who had an abundance of nice content material to select. Here are the preferred KDnuggets posts in October.

Platinum BlogMost Viewed – Platinum Badge (>24,000 UPV)

  1. Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science, by Benjamin Obi Tayo
  2. fastcore: An Underrated Python Library, by Hamel Husain
  3. Goodhart’s Law for Data Science and what occurs when a measure turns into a goal?, by Jamil Mirabito

Gold BlogMost Viewed – Gold Badge (>12,000 UPV)

  1. How to develop into a Data Scientist: a step-by-step information, by Great Learning
  2. PerceptiLabs – A GUI and Visual API for TensorFlow, by PerceptiLabs
  3. A step-by-step information for creating an genuine data science portfolio mission, by Felix Vemmer
  4. How to Explain Key Machine Learning Algorithms at an Interview, by Terence Shin

Silver BlogMost Viewed – Silver Badge (> 6,000 UPV)

  1. Text Mining with R: The Free eBook, by Matthew Mayo
  2. The unstated distinction between junior and senior data scientists, by Misra Turp
  3. Roadmap to Natural Language Processing (NLP), by Pier Paolo Ippolito
  4. How to ace the data science coding problem, by Benjamin Obi Tayo
  5. Ain’t No Such a Thing as a Citizen Data Scientist, by Venkat Raman
  6. 10 Best Machine Learning Courses in 2020, by Ahmad Bin Shafiq
  7. Good-bye Big Data. Hello, Massive Data!, by Sqream
  8. Free From MIT: Intro to Computational Thinking and Data Science, by Matthew Mayo

Platinum BlogMost Viewed – Platinum Badge (>1,000 shares)

  1. Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science, by Benjamin Obi Tayo

Gold BlogMost Shared – Gold Badge (>500 shares)

  1. 10 Best Machine Learning Courses in 2020, by Ahmad Bin Shafiq
  2. How to develop into a Data Scientist: a step-by-step information, by Great Learning
  3. How to Explain Key Machine Learning Algorithms at an Interview, by Terence Shin

Silver BlogMost Shared – Silver Badge (>250 shares)

  1. Free From MIT: Intro to Computational Thinking and Data Science, by Matthew Mayo
  2. How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems, by Jesus Rodriguez
  3. Software Engineering Tips and Best Practices for Data Science, by Ahmed Besbes
  4. An Introduction to AI, up to date, by Imtiaz Adam
  5. fastcore: An Underrated Python Library, by Hamel Husain
  6. Free Introductory Machine Learning Course From Amazon, by Matthew Mayo
  7. A step-by-step information for creating an genuine data science portfolio mission, by Felix Vemmer
  8. Roadmap to Natural Language Processing (NLP), by Pier Paolo Ippolito
  9. Annotated Machine Learning Research Papers, by Matthew Mayo

signifies that badge added or upgraded primarily based on these month-to-month outcomes.

Most Shareable (Viral) Blogs

Among the highest blogs, listed here are the blogs with the best ratio of shares/distinctive views, which means that individuals who learn it actually preferred it.

  1. An Introduction to AI, up to date, by Imtiaz Adam
  2. How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems, by Jesus Rodriguez
  3. 5 Best Practices for Putting Machine Learning Models Into Production, by Sigmoid
  4. Annotated Machine Learning Research Papers, by Matthew Mayo
  5. Free Introductory Machine Learning Course From Amazon, by Matthew Mayo

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