The Statistical Physics of Data Assimilation and Machine Learning, Hardback - ***

The theory of data assimilation and machine learning is introduced in an accessible and pedagogical manner, with a focus on the underlying statisti...

Publisher: Taylor & Francis LtdAuthor(s): Ijaz A. RaufIllustration(s): 48 Line drawings, black and white; 9 Tables, black and white; 48 Illustratio...

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Aimed at graduate students, this textbook examines the importance of data analysis to understanding biological, physical, and chemical systems, and...

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Machine Learning: The Art and Science of Algorithms that Make Sense of Data - Peter Flach

DescriptionPublisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access t...

This practical guide covers the essential tasks in statistical data analysis encountered in high energy physics and provides comprehensive advice f...

This textbook demonstrates how statistical field theories are formulated and studied. Initial chapters connect the particulate perspective develope...

Reducere. DescriptionArtificial intelligence and machine learning are considered as hot technologies of this century. As these technologies move from researc...

This first all-inclusive account of statistical signal processing for improper and noncircular complex signals provides the tools and algorithms ne...

Master advanced topics in the analysis of large, dynamically dependent datasets with this insightful resource Statistical Learning with Big Depende...

This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in...

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If you want to learn about big data, then keep reading... Do you want to understand what big data is all about, but you don't get all the hype? Are...

Reducere. If you want to learn about big data, then keep reading...Do you want to understand what big data is all about, but you don't get all the hype?Are y...

The book incorporates the many facets of computational intelligence, such as machine learning and deep learning, to provide groundbreaking developm...

DescriptionStatistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze co...

Bayesian Reasoning and Machine Learning - David Barber

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and dat...

Reducere. DescriptionAs its title says, it's the hundred-page machine learning book. It was written by an expert in machine learning holding a Ph.D. in Artif...

Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, t...

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Reducere. If you want to learn about data science and big data, then keep reading... Two manuscripts in one book: Data Science: What You Need to Know About D...

Redescopera farmecul lecturii si alege-ti de pe elefant.ro carti in limba engleza scrise de autori consacrati. Iti punem la dispozitie sute de mii ...

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods a...

If you're at the beginner stage and are looking to gain new knowledge about machine learning then keep reading...WARNING: Do not read this book if ...

DescriptionYou've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are ...

DescriptionGet to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitativ...

Publisher: Norwood House PressAuthor(s): Brett S. MartinNumber of pages: 48Publication date: 2018Dimensions: 177 x 224 x 5Cover type: Paperback / s...

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.

Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to...

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