KDnuggets Home » News » 2018 » Aug » Top Stories, Tweets » Top July Stories: Cartoon: Data Scientist was the sexiest job of the 21st century until …; Does PCA really improve classification outcome? Causation in a nutshell ( 18:n31 )

Top July Stories: Cartoon: Data Scientist was the sexiest job of the 21st century until …; Does PCA really improve classification outcome? Causation in a nutshell


 
 
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Also: 5 of Our Favorite Free Visualization Tools; Comparison of Top 6 Python NLP Libraries; Causation in a nutshell.


Here are the most popular posts in KDnuggets in July, based on the number of unique page views (UPV), the remaining social share counts from Facebook, Twitter, and Addthis.

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

  1. Cartoon: Data Scientist was the sexiest job of the 21st century until ..., by Gregory Piatetsky (*)



 

Gold BlogMost Viewed - Gold Badges (>12,000 UPV)

  1. 5 of Our Favorite Free Visualization Tools, by Richard Vermillion
  2. SQL Cheat Sheet, by Dan Clark (*)


Silver BlogMost Viewed - Silver Badges (> 6,000 UPV)

  1. Text Mining on the Command Line, by Sabber Ahamed
  2. Dimensionality Reduction: Does PCA really improve classification outcome?, by Meigarom Diego Fernandes
  3. How to Build a Data Science Portfolio, by Michael Galarnyk (*)






Gold BlogMost Shared - Gold Badges (>600 shares)

  1. Dimensionality Reduction: Does PCA really improve classification outcome?, by Meigarom Diego Fernandes (*)


Silver BlogMost Shared - Silver Badges (>300 shares)

  1. Comparison of Top 6 Python NLP Libraries, by ActiveWizards
  2. Analyze a Soccer (Football) Game Using Tensorflow Object Detection and OpenCV, by Priyanka Kochhar
  3. Causation in a Nutshell, by Kevin Gray
  4. 5 Quick and Easy Data Visualizations in Python with Code, by George Seif (*)
  5. Automated Machine Learning vs Automated Data Science, by Matthew Mayo
  6. SQL Cheat Sheet, by Dan Clark
  7. 5 of Our Favorite Free Visualization Tools, by Richard Vermillion
  8. Genetic Algorithm Implementation in Python, by Ahmed Gad
  9. Explaining the 68-95-99.7 rule for a Normal Distribution, by Michael Galarnyk (*)


(*) indicates that badge added or upgraded based on these monthly results.

Most Shareable (Viral) Blogs

Among the top blogs, here are the 5 blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.
  1. Causation in a Nutshell, by Kevin Gray
  2. Efficient Graph-based Word Sense Induction, by UMass Amherst graduate students Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai and Vinayak Mathur; Andrew McCallum, Professor and Director of the Center for Data Science at UMass Amherst; and Alfred Hough, Lead AI Researcher at Lexalytics
  3. 9 Reasons why your machine learning project will fail, by Alberto Artasanchez
  4. The 4 Levels of Data Usage in Data Science, by Matthew Mayo
  5. The ultimate list of Web Scraping tools and software, by Ida Jessie Sagina
  6. Comparison of Top 6 Python NLP Libraries, by ActiveWizards



Top Stories Past 30 Days

Most Popular
  1. Machine Learning Cheat Sheets
  2. Essential Math for Data Science: Why and How
  3. 10 Best Mobile Apps for Data Scientist / Data Analysts
  4. 9 Must-have skills you need to become a Data Scientist, updated
  5. 5 Data Science Projects That Will Get You Hired in 2018
  6. How To Learn Data Science If You're Broke
  7. 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study
Most Shared
  1. You Aren’t So Smart: Cognitive Biases are Making Sure of It
  2. 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study
  3. A Winning Game Plan For Building Your Data Science Team
  4. How to Create a Simple Neural Network in Python
  5. BIG, small or Right Data: Which is the proper focus?
  6. How To Learn Data Science If You’re Broke
  7. 10 Best Mobile Apps for Data Scientist / Data Analysts

KDnuggets Home » News » 2018 » Aug » Top Stories, Tweets » Top July Stories: Cartoon: Data Scientist was the sexiest job of the 21st century until …; Does PCA really improve classification outcome? Causation in a nutshell ( 18:n31 )

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