Top October Stories: 9 Must-have skills you need to become a Data Scientist, updated; 10 Best Mobile Apps for Data Scientist / Data Analysts

 


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9 Must-have skills you need to become a Data Scientist, updated, by Simplilearn () 10 Best Mobile Apps for Data Scientist / Data Analysts, by Premjith Purushothaman ()

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

How To Learn Data Science If You’re Broke, by Harrison Jansma (*) Graphs Are The Next Frontier In Data Science, by Reshama Shaikh

Most Viewed - Silver Badges (> 5,000 UPV)

Apache Spark Introduction for Beginners, by Vikash Kumar () How to Create a Simple Neural Network in Python by Michael J. Garbade The Main Approaches to Natural Language Processing Tasks, by Matthew Mayo Top 8 Python Machine Learning Libraries, by Dan Clark ()

Most Shared - Silver Badges (>250 shares)

How To Learn Data Science If You’re Broke, by Harrison Jansma 10 Best Mobile Apps for Data Scientist / Data Analysts, by Premjith Purushothaman The Main Approaches to Natural Language Processing Tasks, by Matthew Mayo How to Create a Simple Neural Network in Python, by Michael J. Garbade BIG, small or Right Data: Which is the proper focus?, by Ricardo Baeza-Yates Graphs Are The Next Frontier In Data Science, by Reshama Shaikh

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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.

BIG, small or Right Data: Which is the proper focus?, by Ricardo Baeza-Yates Using Confusion Matrices to Quantify the Cost of Being Wrong, by William Schmarzo Basic Image Data Analysis Using Python - Part 4, by Mohammed Innat Holy Grail of AI for Enterprise - Explainable AI, by Saurabh Kaushik Implementing Automated Machine Learning Systems with Open Source Tools, by Matthew Mayo