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New Poll: Which Data Science / Machine Learning methods and tools you used?


Please vote in new KDnuggets poll which examines the methods and tools used for a real-world application or project.



New KDnuggets Poll is asking:


Which Data Science / Machine Learning methods and tools you used in the past 12 months for work or a real-world project?

Here are the poll results: Top Data Science and Machine Learning Methods Used in 2017

Here are the results of a similar 2016 poll: Top 10 algorithms/methods usesTop Algorithms and Methods Used by Data Scientists

See also a very interesting Kaggle survey The State of Data Science & Machine Learning in 2017, which also included a section on algorithms.

Kaggle survey asked: What data science methods are used at work? and the top answers were
  • Logistic Regression
  • Decision Trees
  • Random Forests
  • Neural Networks
  • Bayesian Techniques
  • Ensemble Methods
  • SVMs
  • Gradient Boosted Machines
  • CNNs