Entropy Measures for Data Analysis: Theory, Algorithms and Applications, Paperback - Karsten Keller

Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range f...

Publisher: Elsevier Science Publishing Co IncNumber of pages: 244Publication date: 2022Dimensions: 152 x 229 x 15Cover type: Paperback / softbackEd...

This book is an in-depth and modern presentation of important classical results in complex analysis and is suitable for a first course on the topic...

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Publisher: Taylor & Francis LtdIllustration(s): 150 Illustrations, black and whiteNumber of pages: 344Publication date: 2021Dimensions: 155 x 236 x...

Reducere. DescriptionA technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern Big Data applicat...

Publisher: Elsevier Science & TechnologyNumber of pages: 264Collection: Cognitive Data Science in Sustainable ComputingPublication date: 2022Dimens...

Publisher: Elsevier Science Publishing Co IncIllustration(s): Approx. 100 illustrations; Illustrations, unspecifiedNumber of pages: 596Publication ...

A modern and unique treatment of process optimization which presents a thorough exposition of applications and algorithms in sufficient detail for ...

Reducere. This new edition provides an up-to-date coverage of important theoretical models in the scheduling literature as well as significant scheduling pro...

Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developer...

"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building bl...

DescriptionAs data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, ...

Reducere. Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The ...

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From the reviews: "The account is quite detailed and is written in a manner that will appeal to analysts and numerical practitioners alike...they c...

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Publisher: Elsevier Science & TechnologyAuthor(s): William (Professor, Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA)...

Reducere. Popular in the First Edition for its rich, illustrative examples and lucid explanations of the theory and use of hierarchical linear models (HLM), ...

Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on pract...

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Optimization techniques are at the core of data science. An understanding of the basic techniques and their fundamental properties provides importa...

Publisher: ManningAuthor(s): Emin TahirovicNumber of pages: 304Publication date: 2022Dimensions: 188 x 235 x 23Cover type: PaperbackIllustrator: In...

Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data in applied domains. This comprehensive text covers...

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Reducere. Are you looking for a complete guide of machine learning and artificial intelligence? Then you have found just the book you need to understand and ...

This book is the first to give an accessible overview of the Christoffel-Darboux kernel as a novel, powerful, yet simple, tool in statistical data ...

With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or dat...

If you are looking to master the fundamental concepts of Data Science driven by the Python programming language to develop a solid understanding of...

A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including ...

Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for students and rese...

Why Python has been proclaimed by the most Professional Techs as the best Scripting Language ? Do you want to learn Coding from scratch? This Book ...

Presents multiprecision algorithms used in number theory and elsewhere, such as extrapolation, numerical integration, numerical summation (includin...

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It...

Reducere. Contributor(s): Author: John SallAuthor: Mia L. StephensAuthor: Ann LehmanThis book provides hands-on tutorials with just the right amount of conce...

Reducere. A practical guide for today's chief data officers to define and manage data governance programs The relatively new role of chief data officer (CDO)...

Reducere. Do you want to learn about data science but aren't in the mood to read a boring textbook?Data science has a huge impact on how companies conduct bu...

DescriptionAlgorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to publi...

Publisher: Taylor & Francis LtdAuthor(s): Steven NovickIllustration(s): 36 Tables, black and whiteNumber of pages: 310Collection: Chapman & Hall/CR...

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Publisher: Pearson Education LimitedNumber of pages: 56Collection: Abacus for Malta Euro EditionPublication date: 2007Dimensions: 260 x 195 x 10Cov...

DescriptionData is constantly increasing and data analysts are in higher demand than ever. This book is an essential guide to the role of data anal...

Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data sci...

Reducere. Create a data warehouse, complete with reporting and dashboards using Google's BigQuery technology. This book takes you from the basic concepts of ...

Reducere. The objective of this book is to address the needs of students in using software for data science. The pace and content of this book is set in such...

Computational geometry emerged from the ?eld of algorithms design and analysis in the late 1970s. It has grown into a recognized discipline with it...

DescriptionPerform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R languag...

Reducere. DescriptionDo you want to learn about data science but aren't in the mood to read a boring textbook? Data science has a huge impact on how companie...