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Top May Stories: KDnuggets Poll: Software for Analytics, Data Science, Machine Learning; How to Learn Machine Learning in 10 Days


Also Machine Learning Workflows in Python from Scratch Part 1: Data Preparation; Deep Learning - Past, Present, and Future



For the month of May, we also recognize the most popular posts and blogger based on unique page views (UPV) and social shares. With the growing KDnuggets audience reaching a record 517,000 visitors in May, we increased the thresholds for Gold and Silver blog badges.

Platinum Blog, May 2017Most Viewed - Platinum Badge
(>24,000 UPV)

  1. How to Learn Machine Learning in 10 Days, by Sebastian Raschka



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

  1. Machine Learning Workflows in Python from Scratch Part 1: Data Preparation, by Matthew Mayo
  2. Deep Learning - Past, Present, and Future, by Henry H. Eckerson
  3. New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?, by Gregory Piatetsky
  4. New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll, by Gregory Piatetsky


Silver Blog, May 2017Most Viewed - Silver Badges (>6,000 unique PV)

  1. Getting Into Data Science: What You Need to Know, by Susannah Bruck.
  2. The Guerrilla Guide to Machine Learning with R, by Matthew Mayo.
  3. Using Deep Learning To Extract Knowledge From Job Descriptions, by Jan Luts
  4. The Best Python Packages for Data Science, by The Data Incubator.
  5. Machine Learning Crash Course: Part 1, By Daniel Geng and Shannon Shih, UC Berkeley (*)
  6. The Guerrilla Guide to Machine Learning with Python, by Matthew Mayo (*)
  7. Top 10 Machine Learning Videos on YouTube, updated, by Thuy Pham (*)


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

  1. New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?, by Gregory Piatetsky



 

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

  1. New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll, by Gregory Piatetsky
  2. Deep Learning - Past, Present, and Future, by Henry H. Eckerson
  3. Machine Learning overtaking Big Data?, by Gregory Piatetsky (*)
  4. How to Learn Machine Learning in 10 Days, by Sebastian Raschka
  5. Must-Know: What are common data quality issues for Big Data and how to handle them?, by Anmol Rajpurohit
  6. Machine Learning Workflows in Python from Scratch Part 1: Data Preparation, by Matthew Mayo
  7. Using Deep Learning To Extract Knowledge From Job Descriptions, by Jan Luts


Silver Blog, May 2017Most Shared - Silver Gold Badges (>600 shares)

  1. Teaching the Data Science Process, by Balazs Kegl (*)
  2. HDFS vs. HBase : All you need to know, by Alex Mailajalam
  3. The Path To Learning Artificial Intelligence, by Kirill Eremenko and Hadelin de Ponteves (*)
  4. Getting Into Data Science: What You Need to Know, by Susannah Bruck. (*)
  5. The Guerrilla Guide to Machine Learning with Python, by Matthew Mayo (*)
  6. The Guerrilla Guide to Machine Learning with R, by Matthew Mayo
  7. Deep Learning in Minutes with this Pre-configured Python VM Image, by Matthew Mayo (*)
  8. Descriptive Statistics Key Terms, Explained, by Matthew Mayo (*)
  9. Top 10 Machine Learning Videos on YouTube, updated, by Thuy Pham (*)


(*) indicates that badge added or upgraded based on these monthly results, and not from weekly results.

Finally, we can also measure the most shareable, "viral" content - with the most shares relative to the number of unique views. If many people shared the post after viewing it, this is a good indicator of quality.

Among top 30 most viewed posts, here are 7 with the highest Shares/100 UPV:
  1. Teaching the Data Science Process, by Balazs Kegl
  2. Machine Learning overtaking Big Data?, by Gregory Piatetsky
  3. Must-Know: What are common data quality issues for Big Data and how to handle them?, by Anmol Rajpurohit
  4. The Path To Learning Artificial Intelligence, by Kirill Eremenko and Hadelin de Ponteves
  5. Descriptive Statistics Key Terms, Explained, by Matthew Mayo
  6. Data science through the lens of research design, by Elan Sasson
  7. New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?, by Gregory Piatetsky