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Top July Stories: The 4 Types of Data Analytics


Also: 6 Reasons Why Python Is Suddenly Super Popular; When not to use deep learning; Machine Learning Applied to Big Data, Explained



KDnuggets publishes about 100 stories per month, so writing a top story is a notable achievement.
For the month of July, we recognize the most popular posts and their authors based on unique page views (UPV) and social shares.

Gold Blog, July 2017Most Viewed - Gold Badges (>12,000 UPV)

  1. The 4 Types of Data Analytics, by Thomas Maydon
  2. 6 Reasons Why Python Is Suddenly Super Popular, by Kayla Matthews
  3. When not to use deep learning, by Pablo Cordero
  4. Machine Learning Applied to Big Data, Explained, by Matthew Mayo


Silver Blog, July 2017Most Viewed - Silver Badges

  1. How to Build a Data Science Pipeline, by Balazs Kegl
  2. Machine Learning Exercises in Python: An Introductory Tutorial Series, by John Wittenauer
  3. 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing, by Matthew Mayo
  4. Getting Started with Python for Data Analysis, by Zack Jost (*)
  5. Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners, part 2, by Sam Putnam (*)
  6. Introduction to Neural Networks, Advantages and Applications, by Jahnavi Mahanta (*)







Platinum Blog, July 2017Most Shared - Platinum Badge
(>2,400 shares)

  1. The 4 Types of Data Analytics, by Thomas Maydon (*)



 

Gold Blog, July 2017Most Shared - Gold Badges (>1,200 shares)

  1. Machine Learning Applied to Big Data, Explained, by Matthew Mayo
  2. 6 Reasons Why Python Is Suddenly Super Popular, by Kayla Matthews
  3. When not to use deep learning, by Pablo Cordero


Silver Blog, July 2017Most Shared - Silver Gold Badges (>550 shares)

  1. Machine Learning Exercises in Python: An Introductory Tutorial Series, by John Wittenauer
  2. AI and Deep Learning, Explained Simply, by Fabio Ciucci (*)
  3. What Are Artificial Intelligence, Machine Learning, and Deep Learning?, by RapidMiner
  4. 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing, by Matthew Mayo
  5. What Advice Would You Give Your Younger Data Scientist Self?, by Matthew Mayo
  6. How to Build a Data Science Pipeline, by Balazs Kegl
  7. Introduction to Neural Networks, Advantages and Applications, by Jahnavi Mahanta (*)
  8. The Strange Loop in Deep Learning, by Carlos Perez
  9. The BI & Data Analysis Conundrum: 8 Reasons Why Many Big Data Analytics Solutions Fail to Deliver Value, by Vered Abrahami (*)
  10. How GDPR Affects Data Science, by Thomas Dinsmore (*)


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. How GDPR Affects Data Science
  2. The Internet of Things: An Introductory Tutorial Series
  3. What Are Artificial Intelligence, Machine Learning, and Deep Learning?
  4. Machine Learning Applied to Big Data, Explained
  5. What Advice Would You Give Your Younger Data Scientist Self?