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Little book of data, Evans, Justin


Варианты приобретения
Цена: 22880.00T
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 19 шт.  Склад Америка: 41 шт.  
При оформлении заказа до: 2025-09-08
Ориентировочная дата поставки: начало Ноября

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Автор: Evans, Justin
Название:  Little book of data
ISBN: 9781400248353
Издательство: McGraw-Hill
Классификация:



ISBN-10: 1400248353
Обложка/Формат: Hardback
Страницы: 304
Вес: 0.43 кг.
Дата издания: 17.07.2025
Размер: 236 x 162 x 25
Подзаголовок: Understanding the powerful analytics that fuel ai, make or break careers, and could just end up saving the world
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Поставляется из: Англии

Excel data analysis

Автор: Guerrero, Hector
Название: Excel data analysis
ISBN: 3030012786 ISBN-13(EAN): 9783030012786
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.

Data analysis for business, economics, and policy

Автор: Bekes, Gabor Kezdi, Gabor
Название: Data analysis for business, economics, and policy
ISBN: 1108716202 ISBN-13(EAN): 9781108716208
Издательство: Cambridge Academ
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Цена: 52790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Equips future data analysts with the skills they need to answer questions in business, economics, and public policy. Covering methods of exploratory, predictive, and causal analysis, it includes case studies that use real-world data and related data exercises supported by code (Stata, R, Python) and data available online.

Mining of Massive Datasets

Автор: Leskovec Jure
Название: Mining of Massive Datasets
ISBN: 1108476341 ISBN-13(EAN): 9781108476348
Издательство: Cambridge Academ
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Цена: 71810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Essential reading for students and practitioners, this book focuses on practical algorithms used to solve key problems in data mining, with exercises suitable for students from the advanced undergraduate level and beyond. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.

Quantitative Trading

Автор: Guo, Xin , Lai, Tze Leung , Shek, Howard , Wong
Название: Quantitative Trading
ISBN: 0367871815 ISBN-13(EAN): 9780367871819
Издательство: Taylor&Francis
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Цена: 63280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part cove

Mathematical Gnostics Advanced Data Analysis for Research and Engineering Practice

Автор: Pavel Kovanic
Название: Mathematical Gnostics Advanced Data Analysis for Research and Engineering Practice
ISBN: 1138339237 ISBN-13(EAN): 9781138339231
Издательство: Taylor&Francis
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Цена: 153120.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The focus of the book will be concentrated to the step-by-step explanation of applications of the algorithms to real data which are met in daily practice by all data analysts, with particulr focus on chemcial engineering. The book will lead readers through all relevant tasks on one-dimensional, two-dimensional, and multi-dimensional data analysis.

Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking

Автор: Foster Provost
Название: Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking
ISBN: 1449361323 ISBN-13(EAN): 9781449361327
Издательство: Wiley
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Цена: 42230.00 T
Наличие на складе: Есть
Описание: This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

Enhance Oil & Gas Exploration with Data-Driven Geo physical and Petrophysical Models

Автор: Keith R. Holdaway
Название: Enhance Oil & Gas Exploration with Data-Driven Geo physical and Petrophysical Models
ISBN: 1119215102 ISBN-13(EAN): 9781119215103
Издательство: Wiley
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Цена: 55440.00 T
Наличие на складе: Есть
Описание: Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data.

Автор: Gzyl, Henryk,
Название: Loss data analysis :
ISBN: 3110516047 ISBN-13(EAN): 9783110516043
Издательство: Walter de Gruyter
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Цена: 86720.00 T
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Описание:

This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences.

On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems.

The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable.

Contents
Introduction
Frequency models
Individual severity models
Some detailed examples
Some traditional approaches to the aggregation problem
Laplace transforms and fractional moment problems
The standard maximum entropy method
Extensions of the method of maximum entropy
Superresolution in maxentropic Laplace transform inversion
Sample data dependence
Disentangling frequencies and decompounding losses
Computations using the maxentropic density
Review of statistical procedures


Data science for engineers

Автор: Rengaswamy, Raghunathan Suresh, Resmi
Название: Data science for engineers
ISBN: 0367754266 ISBN-13(EAN): 9780367754266
Издательство: Taylor&Francis
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Цена: 100030.00 T
Наличие на складе: Нет в наличии.
Описание: With tremendous improvement in computational power and availability of rich data, almost all engineering disciplines are using data science in one way or another. This textbook present material on data science comprehensively and in a structured manner.

Автор: Federico Echenique, Nicole Immorlica, Vijay V. Vaz
Название: Online and Matching-Based Market Design
ISBN: 1108831990 ISBN-13(EAN): 9781108831994
Издательство: Cambridge Academ
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Цена: 58070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The rich, multi-faceted and multi-disciplinary field of matching-based market design is an active and important one due to its highly successful applications with economic and sociological impact. Its home is economics, but with intimate connections to algorithm design and operations research. With chapters contributed by over fifty top researchers from all three disciplines, this volume is unique in its breadth and depth, while still being a cohesive and unified picture of the field, suitable for the uninitiated as well as the expert. It explains the dominant ideas from computer science and economics underlying the most important results on market design and introduces the main algorithmic questions and combinatorial structures. Methodologies and applications from both the pre-Internet and post-Internet eras are covered in detail. Key chapters discuss the basic notions of efficiency, fairness and incentives, and the way market design seeks solutions guided by normative criteria borrowed from social choice theory.

Bayesian artificial intelligence

Автор: Korb, Kevin B. Nicholson, Ann E.
Название: Bayesian artificial intelligence
ISBN: 1032477652 ISBN-13(EAN): 9781032477657
Издательство: Taylor&Francis
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Цена: 46950.00 T
Наличие на складе: Нет в наличии.
Описание: The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on object-oriented Bayesian networks, along with new applications and case studies. It includes a new

It`s All Analytics, Part 3

Автор: Burk, Scott
Название: It`s All Analytics, Part 3
ISBN: 1032552247 ISBN-13(EAN): 9781032552248
Издательство: Taylor&Francis
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Цена: 42870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.


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