KDnuggets Analytics, Big Data, Data Mining, and Data Science
Subscribe to KDnuggets News
SOFTWARE | News | Top stories | Opinions | Jobs | Companies | Courses | Datasets | Education | Meetings | Polls | Webcasts


KDnuggets Home » Polls » Current
Poll: Current
Which Data Science / Machine Learning methods and tools you used in the past 12 months for a real-world application? [6247 votes total]

Anomaly/Deviation detection (140)
 2%
Association rules (109)
 2%
Bagging (146)
 2%
Bayesian networks/methods (125)
 2%
Boosting (179)
 3%
Clustering (396)
 6%
Convolutional Neural Nets (114)
 2%
Decision Trees/Rules (362)
 6%
Deep Learning Networks (146)
 2%
EM (30)
 0%
Ensemble methods (212)
 3%
Factor Analysis (84)
 1%
Generative Adversarial Networks (GAN) (17)
 0%
Genetic algorithms/Evolutionary methods (35)
 1%
Gradient Boosted Machines (145)
 2%
Graph / Link / Social Network Analysis (59)
 1%
Hidden Markov Models (HMM) (34)
 1%
K-nearest neighbors (278)
 4%
Markov Logic Networks (18)
 0%
Neural networks (not DL) (144)
 2%
Optimization (125)
 2%
PCA (247)
 4%
Random Forests (326)
 5%
Recurrent Neural Networks (RNN) (74)
 1%
Regression (434)
 7%
Reinforcement Learning (30)
 0%
Support Vector Machine (SVM) (205)
 3%
Singular Value Decomposition (SVD) (59)
 1%
Statistics - Descriptive (293)
 5%
Survival Analysis (60)
 1%
Text Mining (225)
 4%
Time series/Sequence analysis (218)
 3%
Visualization (363)
 6%
Uplift modeling (20)
 0%
Other methods (46)
 1%
Your affiliation: Industry/Self-employed (445)
 7%
Researcher/Academia (106)
 2%
Student (132)
 2%
Government/non-profit (37)
 1%
other (29)
 0%


EMAIL THIS POLL


Total Comments 0 | Start A New Comment
Post Info Comment


There are currently no comments on this poll. Be the first to post one.

 
KDnuggets

KDnuggets Home » Polls » Current

Copyright © 2017 KDnuggets.