Foundations of statistical algorithms

Statistical Foundations of Data Science

Gives a comprehensive and systematic account of high-dimensional data analysis, including variable selection via regularization methods and sure indep

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Statistical Foundations Of Entropy, The

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Foundations of Statistical Natural Language Processing

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Introduction to the Mathematical and Statistical Foundations of Econometrics

Intended for use in a rigorous introductory PhD level course in econometrics, or a field course in econometric theory, this book covers the measure-th

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Conceptual Foundations of the Statistical Approach in Mechanics

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Foundations of Modern Physics

Exploring modern physics in its historical context, topics range from early applications of atomic theory through thermodynamics, statistical mechanic

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Foundations of Data Science

This book is aimed towards both undergraduate and graduate courses in computer science on the design and analysis of algorithms for data. The materia

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Computational Statistical Physics

Detailed and pedagogical account of computational statistical physics, this book covers both theoretical foundations of equilibrium and non-equilibriu

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Computer Age Statistical Inference

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes ...

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Algorithms for a New World

Covid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. A

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Foundations of Statistics for Data Scientists

This book shows the elements of statistical science that are highly relevant for students who plan to become data scientists. However, most of the con

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Statistical Mechanics: Theory and Molecular Simulation

This book synthesizes the underlying theory of statistical mechanics with the computational techniques and algorithms used to solve real-world problem

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Tree-Based Methods for Statistical Learning in R

This book provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book br

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The Handbook of Usage-Based Linguistics - Díaz-Campos Manuel

Anotace: The Handbook of Usage-Based Linguistics The Handbook of Usage-Based Linguistics is the first edited volume to provide a comprehensive, authoritative, and interdisciplinary view of usage-based theory in linguistics. Contributions by an international team of established and emerging scholars discuss the application of used-based approaches in phonology, morphosynt...

Dostupnost: do 7 dnů

GOST 7.81-2001 1.7.2002

Platná norma GOST 7.81-2001 System of standards on information, librarianship and publishing. Statistical registration of non-periodical and periodical publications. Main foundations

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Machine Learning Taylor & Francis Ltd

This book starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A com...

Dostupnost: do 90 dnů

Recommender Systems Taylor & Francis Ltd

This book presents a multi-disciplinary approach for development of Recommender Systems. It explains different types of pertinent algorithms with their comparative analysis, and their role for different applications. It explains Big Data behind Recommender System, marketing benefits, making good decision support systems, role of machine learning and artificial networks, a...

Dostupnost: do 90 dnů