Your English writing platform
Free sign upExact(55)
Learning pattern, feature impact, and learning preferences were identified as codes while analyzing semi-structured interviews.
Machine learning, pattern recognition, and sensor driven applications play out behind the scenes.
Various applications of AI in everyday life include machine learning, pattern recognition, robotics, data processing and analysis, etc.
Artificial neural networks as a computational paradigm studied with application to problems in associative memory, learning, pattern recognition, perception, robotics, and other areas.
Topics include truth and underdetermination, induction, computability, language learning, pattern recognition, neural networks, and the role of simplicity in theory choice.
Nonlinear dimensionality reduction is a challenging problem encountered in a variety of high dimensional data analysis, including machine learning, pattern recognition, scientific visualization, and neural computation.
Similar(5)
"Where it needs to come from is the students - so when they're learning pattern-cutting and doing their first shows they need to be thinking about clothes which suit different body shapes.
(6) Learning behavior and learning pattern analysis: Having an in-depth understanding of learners' behaviors and learning patterns in the integrated real-world and virtual-world environments is helpful to researchers and educators in developing more effective learning tools and strategies.
Machine Learning & Pattern Analysis Applicants should have experience with modern statistical machine learning and pattern analysis techniques (applied to unstructured and structured data), and preferably software engineering skills and experience working with large datasets.
And so technologies for dealing with the challenge have evolved – in the form of clusters of up to 50,000 computers, running specialised parallel-processing software and algorithms for machine-learning, pattern-recognition and other functions.
One approach to achieving this goal is multivariate pattern analysis, a machine-learning, pattern classification approach well-suited for high-dimensional neuroimaging data.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com