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Data Analytics and Adaptive Learning, Moskal, Patsy D.


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Цена: 42870.00T
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 1 шт.  Склад Америка: 119 шт.  
При оформлении заказа до: 2025-08-18
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Автор: Moskal, Patsy D.
Название:  Data Analytics and Adaptive Learning
ISBN: 9781032154701
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1032154705
Обложка/Формат: Paperback
Страницы: 320
Вес: 0.53 кг.
Дата издания: 25.08.2023
Иллюстрации: 42 tables, black and white; 44 line drawings, black and white; 10 halftones, black and white; 54 illustrations, black and white
Размер: 151 x 229 x 25
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: Research perspectives
Рейтинг:
Поставляется из: Европейский союз

Noise Filtering for Big Data Analytics

Автор: Koushik Ghosh, Souvik Bhattacharyya
Название: Noise Filtering for Big Data Analytics
ISBN: 3110697092 ISBN-13(EAN): 9783110697094
Издательство: Walter de Gruyter
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Цена: 173490.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains how to perform data de-noising, in large scale, with a satisfactory level of accuracy. Three main issues are considered. Firstly, how to eliminate the error propagation from one stage to next stages while developing a filtered model.

Secondly, how to maintain the positional importance of data whilst purifying it. Finally, preservation of memory in the data is crucial to extract smart data from noisy big data. If, after the application of any form of smoothing or filtering, the memory of the corresponding data changes heavily, then the final data may lose some important information.

This may lead to wrong or erroneous conclusions. But, when anticipating any loss of information due to smoothing or filtering, one cannot avoid the process of denoising as on the other hand any kind of analysis of big data in the presence of noise can be misleading. So, the entire process demands very careful execution with efficient and smart models in order to effectively deal with it.


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.

Information Fusion And Analytics For Big Data And Iot

Автор: ?loi Boss? And Basel Solaiman
Название: Information Fusion And Analytics For Big Data And Iot
ISBN: 1630810878 ISBN-13(EAN): 9781630810870
Издательство: Artech House
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Цена: 176170.00 T
Наличие на складе: Нет в наличии.
Описание: The Internet of Things (IoT) and Big Data are hot topics in the world of intelligence operations and information gathering. This first-of-its-kind volume reveals the benefits of addressing these topics with the integration of Fusion of Information and Analytics Technologies (FIAT). The book explains how FIAT is materialized into decision support systems that are capable of supporting the prognosis, diagnosis, and prescriptive tasks within complex systems and organizations.This unique resource offers keen insight into how complex systems emerge from the interrelation of social and cognitive information, cyber and physical worlds, and the various models of decision-making and situational awareness. Practitioners also discover the central notions of analytics and information fusion. Moreover the book introduces propos such as integration through a FIAT computational model and applications at the systems level. This book concludes with a list of prospective research activities that can contribute towards the required FIAT integration for critical application domains such as: energy, health, transport and defense and security.

It`s All Analytics!

Автор: Burk, Scott , Miner, Gary
Название: It`s All Analytics!
ISBN: 0367493799 ISBN-13(EAN): 9780367493790
Издательство: Taylor&Francis
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Цена: 60220.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject.

Challenges and Applications of Data Analytics in Social Perspectives

Автор: V. Sathiyamoorthi, Atilla Elci
Название: Challenges and Applications of Data Analytics in Social Perspectives
ISBN: 1799825663 ISBN-13(EAN): 9781799825661
Издательство: Mare Nostrum (Eurospan)
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Цена: 219910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. Topics examined include collaborative filtering, data visualization, and edge computing.

Data Analytics Approaches in Educational Games and Gamification Systems

Автор: Ahmed Tlili; Maiga Chang
Название: Data Analytics Approaches in Educational Games and Gamification Systems
ISBN: 9813293349 ISBN-13(EAN): 9789813293342
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Game-based learning environments and learning analytics are attracting increasing attention from researchers and educators, since they both can enhance learning outcomes. This book focuses on the application of data analytics approaches and research on human behaviour analysis in game-based learning environments, namely educational games and gamification systems, to provide smart learning. Specifically, it discusses the purposes, advantages and limitations of applying such approaches in these environments. Additionally, the various smart game-based learning environments presented help readers integrate learning analytics in their educational games and gamification systems to, for instance, assess and model students (e.g. their computational thinking) or enhance the learning process for better outcomes. Moreover, the book presents general guidelines on various aspects, such as collecting data for analysis, game-based learning environment design, system architecture and applied algorithms, which facilitate incorporating learning analytics into educational games and gamification systems.

After a general introduction to help readers become familiar with the subject area, the individual chapters each discuss a different aim of applying data analytics approaches in educational games and gamification systems. Lastly, the conclusion provides a summary and presents general guidelines and frameworks to consider when designing smart game-based learning environments with learning analytics.

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Автор: Nanhay Singh, Omprakash Kaiwartya, Ram Shringar Rao, Sanjoy Das
Название: Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks
ISBN: 1799827658 ISBN-13(EAN): 9781799827658
Издательство: Mare Nostrum (Eurospan)
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Цена: 166320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Vehicular traffic congestion and accidents remain universal issues in today's world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools.

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.

Data Science 101: The Ultimate Guide on What you Need to Know to Work with Data Using Python, Tips, and Tricks to Learn Data Analytics,

Автор: Park Andrew
Название: Data Science 101: The Ultimate Guide on What you Need to Know to Work with Data Using Python, Tips, and Tricks to Learn Data Analytics,
ISBN: 1801779635 ISBN-13(EAN): 9781801779630
Издательство: Неизвестно
Рейтинг:
Цена: 31240.00 T
Наличие на складе: Нет в наличии.
Описание:

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Your Customers Will Never Stop To Use This Amazing Guide


Do you want to know how Data science helps in business?

This book will discuss everything that we need to know when it comes to data science and how to complete the process of data science with Python. There are so many different parts that come together when we work on data science, but if you are able to put it all together, and work to really analyze the information that you have to beat out the competition, you will find that data science with Python can be the right move for you.

We will explore how so many businesses will take the time to gather up information, usually from a variety of sources, and then will be unsure of what they should do with that information once they have collected it. We can then take a look at the data life cycle and how we can take that information, clean it off, analyze it, and come up with insights and predictions that help grow our business more than ever before. We will spend this time looking what Python is about, how to download the program on your chosen operating system, and some of the basics that come with coding in Python.

This guidebook went through all of the steps that you need to know in order to get started with data science and some of the basic parts of the Python code. We can then put all of this together in order to create the right analytical algorithm that, once it is trained properly and tested with the right kinds of data, will work to make predictions, provide information, and even show us insights that were never possible before. And all that you need to do to get this information is to use the steps that we outline and discuss in this guidebook.

There is a lot of buzz in the business world, no matter what industry it is, about machine learning, the Python language, and of course, data science, and being able to put these terms together and learn how they work can make a big difference in how well your business will do now and in the future. There are already a ton of companies out there who have been able to gain a competitive edge with data science and the various models and algorithms of Python that go with it, and you can as well.

This book covers:

  • What is Data Science?
  • The Python Coding Language
  • Some of the Basic Coding in Python
  • The Best Python Libraries to Use with Data Science
  • The Basics of Jupyter and Why We Should Use It
  • Working with Anaconda in Python
  • The Basics of the Pandas Library
  • What is WinPython and How Can We Use It?
  • Common Tasks to Do in Info Science
  • Different Data Types to Work With
  • The Future of Data Science and Where It Will Go from Here

There are so many great ways that you can use the data you have been collecting for some time now and being able to complete the process of data visualization will ensure that you get it all done. When you are ready to get started with Python data science, make sure to check out this guidebook to learn how.

There is so much that can come into play when we work with data science, and it is one of the best ways for a business to differentiate from the competition and actually see some results in the process. And the Python language is a great option to learn to help us analyze and create a model that works with the info that we have. When we are ready to learn more about data science, and how to use the Python coding language to go with it, make sure to check out this guidebook to help you get started.


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Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data

Автор: Park Andrew
Название: Data Science and Big Data Analytics: A Step by Step Guide to learn data science from Scratch with Python Machine Learning and Big Data
ISBN: 1801779546 ISBN-13(EAN): 9781801779548
Издательство: Неизвестно
Рейтинг:
Цена: 22960.00 T
Наличие на складе: Нет в наличии.
Описание:

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Your Customers Never Stop to Use this Awesome book


Do you want to know everything about Data science?

This guidebook is going to provide you with all of the information that you need to learn more about data science, what this process is all about, and how you can use the Python language to put it all to work for you Even if you have no idea how to program or any idea of what to do with all of that data you have been collecting, this guidebook will give you all of the tools you need to be successful

There are a lot of different parts that come with data science and being able to put them all together can really help us to do better with helping our customers, finding new products to bring to market, and more. And with the help of this guidebook, we can hopefully find the best ways to beat out the competition and see the results that will work for us. It takes some time, and a good data analysis with the right algorithms from Python, but it can be one of the best ways to make some smart and sound decisions for your business.

Working with data science is becoming even more prevalent as the years go on, and businesses all over the world, and in many different industries, are using this to help them see more success. Whether you want to make predictions, provide better customer service, or learn other valuable insights about your business, data science with the help of Python, can make this happen. When you are ready to see what Python data science can do for your business, make sure to check out this guidebook to get started.

The process of Python data science is not an easy one and learning how to make this work for your needs, and to put all of the parts together can make a big difference in the way that you run your business, and how much success you will see when it comes to your business growing in the future. When you are ready to learn more about working with Python data science and how to make this work for your business, make sure to check out this guidebook to get started.

There are so many parts that come with a data science project, and we are going to take some time to discuss them all in this guidebook. We are going to look at some of the basics that come with this data science project, and why it is so beneficial to so many companies to at least check it out and see what it has to offer them. At the same time, we are also going to explore how to set up your own environment to get started with data science, and some of the best libraries that are out there to help us succeed with the use of data science and Python put together.

This book covers:

  • What Is Data Science?
  • How Can I Use Data Science?
  • The Best Python Libraries for Data Science
  • Setting Up Your Virtual Environments for Data Science
  • The Importance of the NumPy Arrays
  • Gathering and Collecting Your Data
  • Loading and Preparing Your Dataset
  • Data Mining
  • Completing the Data Analysis
  • How Machine Learning Can Help
  • How to Work with Data Visualization

Many businesses are able to benefit when they work with data analysis for some of their own needs. It will help them to learn more about their customers, their industry, and so much more. When you are ready to learn more about what data science can do for you and to figure out whether this is a process your business should spend some time on, make sure to check out this guidebook to help you get started.


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Application of big data and business analytics

Название: Application of big data and business analytics
ISBN: 1800438850 ISBN-13(EAN): 9781800438859
Издательство: Emerald
Рейтинг:
Цена: 112470.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Application of Big Data and Business Analytics uses advanced analytic tools to explore the solutions to problems in society, environment and industry. The chapters within bring together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field. 


With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. With this in mind, Application of Big Data and Business Analytics brings together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field. 

The primary target audience of this book includes researchers, academicians and data scientists from a variety of disciplines interested in analyzing and application of big data analytics. However, this work will also be of general interest to postgraduates and undergraduates pursuing advanced study in big data.

Python for Data Science: A Comprehensive Guide to Python Programming, Data Analytics, and Coding Essentials Tools

Автор: Park Andrew
Название: Python for Data Science: A Comprehensive Guide to Python Programming, Data Analytics, and Coding Essentials Tools
ISBN: 1801779430 ISBN-13(EAN): 9781801779432
Издательство: Неизвестно
Рейтинг:
Цена: 34000.00 T
Наличие на складе: Нет в наличии.
Описание: ★ 55% OFF for Bookstores NOW at $ 36,97 instead of $ 46.97 ★


Do you want to know how Data Science works?


Your Customers Will Never Stop To Use This Amazing Guide

Learning Data Science with Python can be intimidating at times due to the requirements of programming and mathematical knowledge. Because of this "fear," this guidebook aims to demystify complex technical concepts. One of the main goals of this book is to explain everything at a basic level so that everyone can understand what Data Science is all about.

This book carefully guides you through how to install Python together with all the packages and tools you need to assist you along the way.

You will also go through a chapter about programming concepts, where you will learn about basic data types in programming and Python's syntax. There will be examples of code guiding you through each concept, with clear explanations.

You will also learn about tools specifically used by data scientists. You will be guided on how to install them, how to prepare them for work, and how to implement them in your own projects.

We have to work through the collection of raw data, cleaning off and organizing the data that we have, learning what insights are there, figuring out the best model to work with and training and testing it, and then completing the analysis as well. We will take some time to discuss all of these parts and more as we worked through this guidebook and figure out the best way to make these works for us as well.

Working with Data Science is something that all businesses are able to use to help them get ahead and really see some results in the process. But it is a process that takes time and is not always as easy to complete as we might hope. With the help of this guidebook, and some of the tools that we have discussed inside, get ready to use Python Data Science for your needs.

"Python for Data Science" has emphasized that the long-term contributions of Data Science to multiple fields are founded on its grasps Deep Learning, Machine Learning, and the use of prominent applications such as Python.

With this book in your hands, you will:

- Learn Python from scratch including the basic operations, how to install it, data structures and functions, and conditional loops

- Build upon the fundamentals with advanced techniques like Object-Oriented Programming (OOP), Inheritance, and Polymorphism

- Discover the importance of Data Science and how to use it in real-world situations

- Increase your income by learning a new, valuable skill that only a select handful of people take the time to learn

- Discover how companies can improve their business through practical examples and explanations

- And Much More

Learning Data Science is not an independent process where you can learn each concept separately from one another. It is a continuous process of applying previous knowledge into a new application. Therefore, having an understanding of the concepts would ensure that you are equipped to learn more but also ready to put this knowledge into use. Learning Data Science encourages us to both use it at its best but also be aware of its limitations.

Buy It NOW and let Your Customers Discover More About the Fascinating World of Data Science


Big Data Analytics with SAS

Автор: Pope David
Название: Big Data Analytics with SAS
ISBN: 1788290909 ISBN-13(EAN): 9781788290906
Издательство: Неизвестно
Рейтинг:
Цена: 60070.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.


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