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Informatics and Machine Learning: From Martingales to Metaheuristics

by Stephen Winters-Hilt

• Length: 592 pages
• Edition: 1
• Language: English
• Publisher: Wiley
• Publication Date: 2022-01-06

Informatics and Machine Learning

Discover a thorough exploration of how to use computational, algorithmic, statistical, and informatics methods to analyze digital data

Informatics and Machine Learning: From Martingales to Metaheuristics delivers an interdisciplinary presentation on how analyze any data captured in digital form. The book describes how readers can conduct analyses of text, general sequential data, experimental observations over time, stock market and econometric histories, or symbolic data, like genomes. It contains large amounts of sample code to demonstrate the concepts contained within and assist with various levels of project work.