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Probability, Random Variables, and Data Analytics with Engineering Applications, Shankar P. Mohana


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Цена: 74530.00T
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Склад Америка: 182 шт.  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Shankar P. Mohana
Название:  Probability, Random Variables, and Data Analytics with Engineering Applications
ISBN: 9783030562588
Издательство: Springer
Классификация:



ISBN-10: 3030562581
Обложка/Формат: Hardcover
Страницы: 473
Вес: 0.86 кг.
Дата издания: 09.02.2021
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 100 tables, color; 202 illustrations, color; 4 illustrations, black and white; xii, 473 p. 206 illus., 202 illus. in color.
Размер: 23.39 x 15.60 x 2.69 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Chapter 1. Introduction.- Chapter 2. Sets, Venn diagrams, Probability and Bayes Rule.- Chapter 3. Concept of a random variable.- Chapter 4. Multiple random variables and their Characteristics.- Chapter 5. Applications to Data Analytics and Modeling.



Geospatial Data Analytics and Urban Applications

Автор: Kundu Sandeep Narayan
Название: Geospatial Data Analytics and Urban Applications
ISBN: 9811676488 ISBN-13(EAN): 9789811676482
Издательство: Springer
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Цена: 60550.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data.

Introduction to Probability, Second Edition

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
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Цена: 74510.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.

A Course in Probability Theory, Revised Edition,

Автор: Kai Lai Chung
Название: A Course in Probability Theory, Revised Edition,
ISBN: 0121741516 ISBN-13(EAN): 9780121741518
Издательство: Elsevier Science
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Цена: 83080.00 T
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Описание: This book is designed for undergraduate programs and students and can also be used as a first-year graduate text in probability. It offers a broad perspective, building on the synopsis of measure and integration offered in Chapter two.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
Рейтинг:
Цена: 118270.00 T
Наличие на складе: Поставка под заказ.
Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

Manifold Learning Theory and Applications

Автор: Ma
Название: Manifold Learning Theory and Applications
ISBN: 1439871094 ISBN-13(EAN): 9781439871096
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание:

Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread application in machine learning, neural networks, pattern recognition, image processing, and computer vision.

Filling a void in the literature, Manifold Learning Theory and Applications incorporates state-of-the-art techniques in manifold learning with a solid theoretical and practical treatment of the subject. Comprehensive in its coverage, this pioneering work explores this novel modality from algorithm creation to successful implementation--offering examples of applications in medical, biometrics, multimedia, and computer vision. Emphasizing implementation, it highlights the various permutations of manifold learning in industry including manifold optimization, large scale manifold learning, semidefinite programming for embedding, manifold models for signal acquisition, compression and processing, and multi scale manifold.

Beginning with an introduction to manifold learning theories and applications, the book includes discussions on the relevance to nonlinear dimensionality reduction, clustering, graph-based subspace learning, spectral learning and embedding, extensions, and multi-manifold modeling. It synergizes cross-domain knowledge for interdisciplinary instructions, offers a rich set of specialized topics contributed by expert professionals and researchers from a variety of fields. Finally, the book discusses specific algorithms and methodologies using case studies to apply manifold learning for real-world problems.


The Analysis of Biological Data

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
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Цена: 92390.00 T
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Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Statistics for Beginners: Fundamentals Of Probability And Statistics For Data Science And Business Applications, Made Easy For You

Автор: Foster Matt
Название: Statistics for Beginners: Fundamentals Of Probability And Statistics For Data Science And Business Applications, Made Easy For You
ISBN: 1801091935 ISBN-13(EAN): 9781801091930
Издательство: Неизвестно
Рейтинг:
Цена: 24780.00 T
Наличие на складе: Нет в наличии.

Data Clustering: Theory, Algorithms, and Applications

Автор: Chaoqun Ma, Guojun Gan, Jianhong Wu
Название: Data Clustering: Theory, Algorithms, and Applications
ISBN: 1611976324 ISBN-13(EAN): 9781611976328
Издательство: Mare Nostrum (Eurospan)
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Цена: 81090.00 T
Наличие на складе: Нет в наличии.
Описание: Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments.Data Clustering: Theory, Algorithms, and Applications, Second Edition:covers the basics of data clustering,includes a list of popular clustering algorithms, andprovides program code that helps users implement clustering algorithms.

Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications

Автор: Samanta Debabrata, Islam Sk Hafizul, Chilamkurti Naveen
Название: Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications
ISBN: 0367715112 ISBN-13(EAN): 9780367715113
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.

Introduction To Probability And Statistics For Engineers And Scientists

Автор: Ross, Sheldon M.
Название: Introduction To Probability And Statistics For Engineers And Scientists
ISBN: 0128243465 ISBN-13(EAN): 9780128243466
Издательство: Elsevier Science
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Цена: 110030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Letter Jam is a 2-6 player cooperative word game where players assist each other in composing meaningful words from letters around the table. The trick is holding the letter card so that it`s only visible to other players and not to you.At the start of the game, each player receives a set of face-down letter cards that can be arranged to form an existing word. The setup can be prepared by using a special card scanning app, or by players selecting words for each other. Each player then puts their first card in their stand facing the other players without looking at it, and the game begins.The game is played in turns. Each turn, players simultaneously search other players` letters to see what words they can spell out (telling the others the length of the word they can make up). The player who offers the longest word can then be chosen as the clue giver.The clue giver spells out their clue by putting numbered tokens in front of the other players. Number one goes to the player whose letter comes first in the clue, number two to the second letter etc. They can always use a wild card which can be any letter, but they cannot tell others which letter it represents.Each player with a numbered token (or tokens) in front of them then tries to figure out what their letter is. If they do, they place the card face down before revealing the next letter. At the end of the game, players can then rearrange the cards to try to form an existing word. All players then reveal their cards to see if they were successful or not. The more players who have an existing word in front of them, the bigger their common success.

End to end Data Analytics for Product Development

Автор: Luigi Salmaso, Mattia De Dominicis, Rosa Arboretti
Название: End to end Data Analytics for Product Development
ISBN: 1119483697 ISBN-13(EAN): 9781119483694
Издательство: Wiley
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Цена: 75980.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

An interactive guide to the statistical tools used to solve problems during product and process innovation

End to End Data Analytics for Product Development is an accessible guide designed for practitioners in the industrial field. It offers an introduction to data analytics and the design of experiments (DoE) whilst covering the basic statistical concepts useful to an understanding of DoE. The text supports product innovation and development across a range of consumer goods and pharmaceutical organizations in order to improve the quality and speed of implementation through data analytics, statistical design and data prediction.

The book reviews information on feasibility screening, formulation and packaging development, sensory tests, and more. The authors - noted experts in the field - explore relevant techniques for data analytics and present the guidelines for data interpretation. In addition, the book contains information on process development and product validation that can be optimized through data understanding, analysis and validation. The authors present an accessible, hands-on approach that uses MINITAB and JMP software. The book:

- Presents a guide to innovation feasibility and formulation and process development

- Contains the statistical tools used to solve challenges faced during product innovation and feasibility

- Offers information on stability studies which are common especially in chemical or pharmaceutical fields

- Includes a companion website which contains videos summarizing main concepts

Written for undergraduate students and practitioners in industry, End to End Data Analytics for Product Development offers resources for the planning, conducting, analyzing and interpreting of controlled tests in order to develop effective products and processes.


Markov Chain Monte Carlo

Автор: Gamerman, Dani.
Название: Markov Chain Monte Carlo
ISBN: 1584885874 ISBN-13(EAN): 9781584885870
Издательство: Taylor&Francis
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Цена: 102080.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.


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