This course will introduce the concepts of Visual Analytics (VA). VA is a multi-disciplinary domain that combines data visualization with machine learning and other automated techniques to help people ...

The first step when working with machine learning data files is to do a preliminary investigation. The source data is named people_raw.txt and has only 17 lines to keep the main ideas of dealing with ...

Visual data analytics. Using artificial intelligence and machine learning to improve the quality, compress and even colourise video - efficiently and ethically.

AlgoFusion 5.0 introduces interactive backtesting with timeline overlays, outcome tracing, and scenario tagging to deepen ...

Visual representation learning is ubiquitous in various real-world applications, including visual comprehension, video understanding, multi-modal analysis, human-computer interaction, and urban ...

The deal will enhance GE Vernova's ability to offer utilities visual data solutions with situational intelligence.

The research outcomes on visual learning make complete sense when you consider that our brain is mainly an image processor (much of our sensory cortex is devoted to vision), not a word processor.

The Data Science Lab. Data Prep for Machine Learning: Outliers. After previously detailing how to examine data files and how to identify and deal with missing data, Dr. James McCaffrey of Microsoft ...

Visual data analytics. Using artificial intelligence and machine learning to improve the quality, compress and even colourise video - efficiently and ethically.