Data capture and analysis Books

Decode the language of time with Python. Discover powerful techniques to analyze, forecast, and innovate.Book Description"Mastering Time Series Analysis and Forecasting with Python" is an essential handbook tailored for those seeking to harness the power...

Mastering Data Wrangling and Analysis for Modern Data Science"Learning Pandas 2.0" is an essential guide for anyone looking to harness the power of Python's premier data manipulation library. With this comprehensive resource, you will not only master...

区块链被认为是"颠覆性"技术，与人工智能、大数据并称为金融科技的三大支柱，具有广阔的发展前景。然而，目前有关区块链的图书主要集中在金融和技术领域，鲜少有图书系统地梳理区块链基础知识，并从更广的视角来看待和理解区块链。只有让广泛的人了解区块链，才能激发更多的人运用区块链解决各类问题，推动技术创新，实现社会进步。本书尝试用通俗的故事、娓娓道来的文风，系统地告诉读者区块链技术的原理、知识和历史，同时也谈到了与区块链技术有关的货币、金融、法律、大数据、人工智能、物联网、社会治理等问题。本书力图介绍区块链知识，澄清...

This comprehensive guide demystifies data analytics, providing clear, practical insights into transforming raw data into actionable strategies that drive business success. Whether you're a professional, business leader, or aspiring data scientist, this...

The psychological notion of context has been central to translation research for decades. The present volume discusses the notion of context and contextuality from a wide range of perspectives, including translator training, translation quality...

This volume delves into Corpus-Assisted Discourse Analysis (CADS), providing a deeper understanding of the social practices that underpin discourse creation and the recurring characteristics of their associated textual elements.

Late Modern English has traditionally been considered a period of linguistic stability in terms of language standardization. However, a careful examination of crucial aspects of its internal and external history reveals that this period still deserves...

Begin your journey toward efficient data manipulation with this robust technical guide and enhance your aggregation skills while building efficient pipelines for a variety of tasksKey Features:Build effective aggregation pipelines for increased...

Learn how to use the Power Query M formula language and its functions effectively for better data modeling and impactful business intelligence reports.Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesGet comprehensive coverage of...

Elevate your career as a certified Tableau data analyst with this up-to-date exam guide to Tableau's intricacies and honing your analytical skillsPurchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam...

Become a creative JavaScript professional by creating and animating stunning 3D, browser-based graphics with Three.js from beginning to endPurchase of the print or Kindle book includes a free eBook in PDF formatKey Features:- Enhance your 3D graphics...

Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMakerKey Features:Understand the need for high-performance...

Explore the definition, scope, and advancements in the field of computer engineering, from its historical roots to its current and future applications. Covering topics such as advanced computer architecture, algorithms, machine learning, cybersecurity,...

<p><b>Gain Powerful Insights with SAS<sup></sup> Viya<sup></sup>!</b></p>Whether you are an executive, departmental decision maker, or analyst, the need to leverage data and analytical techniques in...

No hype or jargon-become adept at asking good questions about the data and obtaining answers to add significant business value to analytics and artificial intelligence (AI). We start by exploring fundamental topics, such as how data relates to your pain...

Whether you're a business leader, strategist, or tech enthusiast, this book equips you with actionable insights, practical strategies, and a forward-thinking mindset to drive change and thrive in the digital landscape.

Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making. Examples include identifying the insider threat within an organization, the prediction of failure in industrial production or pinpointing...

This book explores the security and privacy issues of Cloud Computing and Big Data, providing essential insights into cloud computing and big data integration.

The goal of this book is to help aspiring readers and researchers understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and...

Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words.

This book focuses on the futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools with the models of the data-driven blockchain ecosystem.

Enterprises are evolving into real-time digital organizations. This book focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies, the products, processes, platforms,...

This book focuses on various authorization and access control techniques, threats and attack modelling including overview of open Authorization 2.0 framework along with User managed access and security analysis. Detailed protocol overview and...

This book is a useful resource for researchers, software developers, educators and managers who want to understand both the high level concepts as well as the technical details on the design and implementation of secure data science-based systems. It can...

This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to...

Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challenges are...

This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such as cybersecurity, IoT, Blockchain, Machine Learning, Data Science, and AI. This book brings together in one resource Information security...

This book provides a detailed description of machine learning algorithms in Data Analytics, Data Science Lifecycle, Python for Machine Learning, Linear Regression, Logistic Regression and so forth. The focus is on Python programming for machine learning...

This book offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.

This book covers statistical consequences of breaches of research integrity such as fabrication and falsification of data, and researcher glitches summarized as questionable research practices. It is unique in that it discusses how unwarranted data...

This book focuses on different algorithms and models related to AI, big data, and IoT used for various domains. It enables the reader to have a broader and deep understanding of several perspectives, about the dynamics, challenges, and opportunities...

The prolificacy and accessibility of technology and digital communications platforms is not only giving rise to a new form of communication between people and communities, but changing the way individuals, communities and society think, act, and behave.

This book presents new cyber-physical security findings for Industry 4.0 using emerging technologies like Artificial Intelligence, Data Mining and Applied Mathematics which are the essential components for processing data, recognizing patterns,...

This book is a wonderful collection of chapters that posits how managers need to cope in the Big Data era. It highlights many of the emerging developments in technologies, applications, and trends related to management's needs in this Big Data era.-Dr...

Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed...

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The...

There is a recent surge in the use of randomized controlled trials (RCTs) within education globally, with disproportionate claims being made about what they show, 'what works', and what constitutes the best 'evidence'. Drawing on up-to-date scholarship...

The Wireless Sensor Network (WSN) is a network built with sensor nodes that are densely deployed in unattended environments. The data that is sensed by the sensor nodes hops to reach the requested destination. The recent advancement in technology had...

This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16-18, 2016. Combining theoretical papers and applications by authors from...

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...

La conception des algorithmes : une science !L'algorithmique est l'art et la science de concevoir des algorithmes corrects et efficaces. Pour beaucoup d'informaticiens, c'est l'aspect artistique qui prédomine : on cherche l'idée lumineuse, la...

Devices like sensors, Internet-of-things (IoT), and Radio frequency identification (RFID) generate enormous amounts of data. The machines are a part of several environments. The information is collected forms a large database. The collection investigates...

This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guideKey FeaturesLearn to...