High 2019 Tales: High 10 Know-how Traits of 2019; Tips on how to choose rows and columns in Pandas

Because the 12 months 2019 attracts to a detailed, we take a look at the most well-liked blogs on KDnuggets. We’ve printed over 1,000 blogs this 12 months, and the blogs under are the very best of the very best! Fashionable subjects embody How-tos, Know-how tendencies, Knowledge Science expertise, Profession recommendation, books, and one controversial opinion (your AI expertise usually are not value as a lot …). In case you have not learn these high KDnuggets blogs but, verify them out now!

Platinum BlogMost Considered – Platinum Badge (>60,000 UPV)

  1. Top 10 Technology Trends of 2019, by Lively Wizards
  2. How to select rows and columns in Pandas using [ ], .loc, iloc, .at and .iat, by Manu Jeevan

Gold BlogMost Considered – Gold Badge (>40,000 UPV)

  1. The most desired skill in data science, by Kaiser Fung
  2. 2019 Best Masters in Data Science and Analytics – Europe Edition, by Dan Clark
  3. How to Speed up Pandas by 4x with one line of code, by George Seif
  4. Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms, by Gregory Piatetsky

Silver BlogMost Considered – Silver Badgs (> 32,000 UPV)

  1. Your AI skills are worth less than you think, by Ric Szopa
  2. I wasn’t getting hired as a Data Scientist. So I sought data on who is., by Hanif Samad
  3. Another 10 Free Must-Read Books for Machine Learning and Data Science, by Matthew Mayo
  4. How to Become a (Good) Data Scientist – Beginner Guide, by Sciforce
  5. The Death of Big Data and the Emergence of the Multi-Cloud Era, by Hyoun Park,
  6. A Step-by-Step Guide to Transitioning your Career to Data Science – Part 1, by Manu Jeevan
  7. Top 10 Coding Mistakes Made by Data Scientists, by Norman Niemer
  8. 10 Great Python Resources for Aspiring Data Scientists, by Matthew Mayo
  9. Data Visualization in Python: Matplotlib vs Seaborn, by Asel Mendis

Platinum BlogMost Shared – Platinum Badge (>2,000 shares)

  1. Your AI skills are worth less than you think, by Ric Szopa
  2. Another 10 Free Must-See Courses for Machine Learning and Data Science, by Matthew Mayo

Silver BlogMost Shared – Gold Badge (>1500 shares)

  1. The Death of Big Data and the Emergence of the Multi-Cloud Era, by Hyoun Park,
  2. 7 Steps to Mastering Basic Machine Learning with Python – 2019 Edition, by Matthew Mayo
  3. Another 10 Free Must-Read Books for Machine Learning and Data Science, by Matthew Mayo
  4. Top 10 Coding Mistakes Made by Data Scientists, by Norman Niemer
  5. Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis, by Gregory Piatetsky

Silver BlogMost Shared – Silver Badge (>1000 shares)

  1. Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS, by Bob Muenchen
  2. How to Become More Marketable as a Data Scientist, by Andrew Ste
  3. Everything a Data Scientist Should Know About Data Management, by Phoebe Wong and Robert Bennett
  4. Knowing Your Neighbours: Machine Learning on Graphs, by Pantelis Elinas
  5. 7 Steps to Mastering SQL for Data Science – 2019 Edition, by Matthew Mayo
  6. The most desired skill in data science, by Kaiser Fung
  7. Who is a typical Data Scientist in 2019?, by Iliya Valchanov

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