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Top July stories: Bayesian Machine Learning, Explained; Why Big Data is in Trouble: They Forgot About Applied Statistics


Also - How to Start Learning Deep Learning; What Has Pokemon Got To Do With Big Data?



Most viewed July stories

  1. Heteroscedastic dropout uncertaintyBayesian Machine Learning, Explained
  2. Why Big Data is in Trouble: They Forgot About Applied Statistics
  3. How to Start Learning Deep Learning
  4. Top Machine Learning MOOCs and Online Lectures: A Comprehensive Survey
  5. What Has Pokemon Got To Do With Big Data?
  6. 5 Big Data Projects You Can No Longer Overlook
  7. SAS vs R vs Python: Which Tool Do Analytics Pros Prefer?
  8. Data Mining History: The Invention of Support Vector Machines
  9. Text Mining 101: Topic Modeling
  10. 5 Deep Learning Projects You Can No Longer Overlook

 
 

Most shared

  1. Big Data Forgot Statistics 250Why Big Data is in Trouble: They Forgot About Applied Statistics
  2. Bayesian Machine Learning, Explained
  3. What Has Pokemon Got To Do With Big Data?
  4. Data Mining/Data Science "Nobel Prize": 2016 SIGKDD Innovation Award to Philip S. Yu
  5. SAS vs R vs Python: Which Tool Do Analytics Pros Prefer?
  6. How to Start Learning Deep Learning
  7. Data Mining History: The Invention of Support Vector Machines
  8. 5 Big Data Projects You Can No Longer Overlook
  9. What is Softmax Regression and How is it Related to Logistic Regression?
  10. 7 Steps to Understanding NoSQL Databases