Machine Learning
Machine Learning is the study of computer algorithms that improve automatically through experience (Tom Mitchell, 1997).
If you're looking for a data scientist to work with on a research project or someone to discuss potential methodologies with for a research problem, then you search for the topic you need or alternatively use the A-Z button to search the full list of data scientists.
| Name | Expertise |
|---|---|
| Machine Learning, Network Analysis, Time Series Analysis, Statistical Modelling, Social Media, Data Science for Public Policy, Spatial Data Science | |
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Machine learning, Natural language processing, Time series analysis, Network analysis, Software engineering, Signal processing |
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| Optimisation, Machine learning, Bayesian inference, Statistical modelling, Frequentist inference | |
| Bioinformatics, Optimisation, Machine learning | |
| Optimisation, Physical Modelling, Machine Learning, Bayesian Inference, Time Series Analysis, Statistical Modelling, Emulation/Uncertainty Quantification, Frequentist Inference, High Performance Computing, Signal Processing, Control Systems, Image Processing | |
| Optimisation, Machine learning, Machine vision, Emulation / uncertainty quantification, Signal processing | |
| Jawad Fayaz | Physical Modelling, Machine Learning, Network Analysis, Time Series Analysis, Statistical Modelling, Computation, Environment and Society |
| Optimisation, Software engineering, Machine learning, Emulation / uncertainty quantification | |
| Machine vision, machine learning, medical image analysis, visual surveillance (health and environment) | |
| Causality, Game theory, Machine learning, Clinical trials, Time series analysis | |
| Physical Modelling, Machine Learning, Bayesian Inference, Time Series Analysis; | |
| Machine learning, Communications, High performance computing | |
| Optimisation, Machine learning | |
| Causality, Statistical modelling, Machine Learning, Clinical trials, Frequentist inference | |
| Optimisation, Software Engineering, Machine Learning. I'm working on multi-objective optimization and decision-making, machine learning and applications in various areas including but not limited to software engineering and synthetic biology | |
| Causality, Machine Learning, Statistical Modelling, Clinical Trials, Precision Medicine, Population-based and clinical datasets | |
| Machine learning, Machine vision, Communications, Signal processing | |
| Physical Modelling, Machine Learning, Emulation/Uncertainty Quantification, Frequentist Inference, High Performance Computing, Signal Processing, Atmospheric Sciences, Environmental Sciences, Meteorology, Atmospheric Physics | |
| Optimisation, Physical modelling, Machine learning, Time series analysis, Signal processing | |
| Bernard Nortier | Optimisation, Machine learning, Bayesian inference, Time series analysis, Statistical modelling, Emulation / uncertainty quantification, Frequentist inference |
| Computational biology, Machine learning | |
| Optimisation, Causality, Physical Modelling, Software Engineering, Machine Learning, Bayesian Inference, Time Series Analysis, Frequentist Inference, High Performance Computing, Statistical Modelling | |
| Machine Learning, Machine Vision | |
| Spatial statistics, Physical modelling, Software engineering, Machine learning, Bayesian inference, Time series analysis, Statistical modelling, Emulation / uncertainty quantification, Frequentist inference | |
| Machine Learning, Machine Vision, Physical Modelling, Computational Neuroscience | |
| Decision theory, Optimisation, Machine learning, Bayesian inference, Statistical modelling, Emulation / uncertainty quantification |