{"product_id":"informatics-and-machine-learning","title":"Informatics and Machine Learning","description":"\u003cb\u003eInformatics and Machine Learning\u003c\/b\u003e \u003cp\u003e\u003cb\u003eDiscover a thorough exploration of how to use computational, algorithmic, statistical, and informatics methods to analyze digital data \u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eInformatics and Machine Learning: From Martingales to Metaheuristics\u003c\/i\u003e 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.  \u003c\/p\u003e\u003cp\u003eThe book offers a complete presentation of the mathematical underpinnings of a wide variety of forms of data analysis and provides extensive examples of programming implementations. It is based on two decades worth of the distinguished author’s teaching and industry experience.  \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA thorough introduction to probabilistic reasoning and bioinformatics, including Python shell scripting to obtain data counts, frequencies, probabilities, and anomalous statistics, or use with Bayes’ rule\u003c\/li\u003e\n\u003cli\u003eAn exploration of information entropy and statistical measures, including Shannon entropy, relative entropy, maximum entropy (maxent), and mutual information\u003c\/li\u003e\n\u003cli\u003eA practical discussion of \u003ci\u003ead hoc, ab initio\u003c\/i\u003e, and bootstrap signal acquisition methods, with examples from genome analytics and signal analytics\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for undergraduate and graduate students in machine learning and data analytics programs, \u003ci\u003eInformatics and Machine Learning: From Martingales to Metaheuristics\u003c\/i\u003e will also earn a place in the libraries of mathematicians, engineers, computer scientists, and life scientists with an interest in those subjects.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54219246174552,"sku":"9781119716747","price":119.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781119716747_43ce3fe4-af82-4cf2-8a52-92850cb574b3.jpg?v=1778492775","url":"https:\/\/agendabookshop.com\/products\/informatics-and-machine-learning","provider":"Agenda Bookshop","version":"1.0","type":"link"}