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


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Get the FREE ebook 'KDnuggets Artificial Intelligence Pocket Dictionary' along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

By subscribing you accept KDnuggets Privacy Policy

Get the FREE ebook 'KDnuggets Artificial Intelligence Pocket Dictionary' along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

By subscribing you accept KDnuggets Privacy Policy

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