KDnuggets Poll - Top Data Science and Machine Learning Methods Used in 2018/2019
Which Data Science / Machine Learning methods and algorithms did you use in 2018/2019 for a real-world application?
Anomaly / Deviation Detection
Decision Trees / Rules
Generative Adversarial Networks (GAN)
Genetic / Evolutionary Algorithms & Methods
Gradient Boosted Machines
Graph / Link / Social Network Analysis
Hidden Markov Models (HMM)
Markov Logic Networks
Neural Networks, Deep
Neural Networks, Shallow
Neural Networks - Convolutional Neural Networks (CNN)
Neural Networks - Recurrent Neural Networks (RNN)
Principal Component Analysis (PCA) & other dimensionality reduction
Statistics - Descriptive
Singular Value Decomposition (SVD)
Support Vector Machine (SVM)
Which of the following best describes your employment type?
Industry / Self employed
Government / Non-profit
Which of the following best describes your primary employment region?
US / Canada
Latin America and Mexico
Africa / Middle East
Australia / NZ
This content is neither created nor endorsed by Google.
Terms of Service