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The Apple Revolution: Steve Jobs, the Counterculture and How the Crazy Ones Took over the World
by Luke DormehlOn 26 May, 2010 Apple Inc. passed Microsoft in valuation as the world's largest technology company. Its consumer electronic products - ranging from computers to mobile phones to portable media devices, not to mention its iTunes, iBook and App Store - have influenced nearly every facet of our lives, and it shows no sign of slowing down. But how did Apple - a company set up in the back room of a house by two friends, and one that always marketed itself as the underdog - become the marketplace leader (and the world's second largest company overall), and is it a good thing to have one company hold so much power? In The Apple Revolution Luke Dormehl shares the inside story of how Apple Inc. came to be; from the formation of the company's philosophies and user-friendly ethos, to the "iPod moment" and global domination, leaving you with a deep understanding of how it was created, why it has flourished, and where it might be going next.
Artificial Intelligence: Everything you need to know about the coming AI. A Ladybird Expert Book (The Ladybird Expert Series #27)
by Michael Wooldridge'I propose to consider the question, 'Can machines think?' Alan Turing (1950)Part of the ALL-NEW Ladybird Expert series.This book is for everyone living in the age of Artificial Intelligence. And this is an accessible and authoritative introduction to one of the most important conversations of our time . . . Written by computer scientist Michael Wooldridge, Artificial Intelligence chronicles the development of intelligent machines, from Turing's dream of machines that think, to today's digital assistants like Siri and Alexa. AI is not something that awaits us in the future. Inside you'll learn how we have come to rely on embedded AI software and what a world of ubiquitous AI might look like.What's inside?- The British mathematician Alan Turing- Can machines 'understand'?- Logical and Behavioural AI- The reality of AI today- AI tomorrow- And much more . . . For an adult readership, the Ladybird Expert series is produced in the same iconic small hardback format pioneered by the original Ladybirds. Each beautifully illustrated book features the first new illustrations produced in the original Ladybird style for nearly forty years.
Be More Keanu
by James KingKeanu Reeves: actor, musician, dog lover. He's the internet's boyfriend. The poetic petrolhead. The guru on a surfboard. Part samurai, part samaritan. He is, very simply, 'The One'.'James has been my movie guru for years and now he's my spiritual guru too! From now on I'm going to ask myself: 'What would Keanu do?'Jo WhileyIn this hilarious book of pocket philosophy, film critic and Keanu fan James King reveals what makes Mr Reeves so special. He unpacks iconic films from the Bill & Teds to the John Wicks, as well as the star's own free-spirited life, showing us why the great man with the great hair has all the answers.And how everyone can #bemorekeanu.'A handsome, cool, enigmatic Gen X'er who never seems to age, James King is the perfect man to write about Keanu Reeves.'Stephen Merchant
Beowulf: A Ladybird Expert Book (The Ladybird Expert Series #26)
by Janina RamirezPart of the ALL-NEW LADYBIRD EXPERT SERIES'This accessible illustrated guide is a great introduction to the story, its origins and its enduring legacy' BBC HISTORY- Which is more terrifying - a monster or its mother? - Why did Berserkers run naked into battle? - How was the story of Beowulf almost lost forever?PLUNGE into the adventures of Beowulf, the 6th Century hero who defeated the monster Grendel, became king of his people, and slayed a tremendous dragon. Surviving in a single, burnt manuscript, Beowulf continues to entrance readers and inspire major works of fantasy today.WARRIORS. MONSTERS. DRAGONS. GOLD.Janina Ramirez's Beowulf is an accessible and authoritative guide to the spellbinding world and daring feats of a poem remembered through the centuries.
AI-Assisted Programming
by Tom TaulliGet practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design, coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer).You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation.Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another.This book examines:The core capabilities of AI-based development toolsPros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhispererWays to use ChatGPT, Gemini, Claude, and other generic LLMs for codingUsing AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testingPrompt engineering for developmentUsing AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub ActionsHow to use AI-based low-code and no-code tools, such as to create professional UIs
Effective Rust
by David DrysdaleRust's popularity is growing, due in part to features like memory safety, type safety, and thread safety. But these same elements can also make learning Rust a challenge, even for experienced programmers. This practical guide helps you make the transition to writing idiomatic Rust—while also making full use of Rust's type system, safety guarantees, and burgeoning ecosystem.If you're a software engineer who has experience with an existing compiled language, or if you've struggled to convert a basic understanding of Rust syntax into working programs, this book is for you. By focusing on the conceptual differences between Rust and other compiled languages, and by providing specific recommendations that programmers can easily follow, Effective Rust will soon have you writing fluent Rust, not just badly translated C++.Understand the structure of Rust's type systemLearn Rust idioms for error handling, iteration, and moreDiscover how to work with Rust's crate ecosystemUse Rust's type system to express your designWin fights with the borrow checkerBuild a robust project that takes full advantage of the Rust tooling ecosystem
The Big Zero: The Transformation of ZBB into a Force for Growth, Innovation and Competitive Advantage
by Kris Timmermans Chris Roark Rodrigo AbdallaDo you want to achieve startup speed at enterprise scale? Growth. It's what every company strives for. But it's become more and more elusive as companies struggle to hit their projected growth rates in an increasingly competitive market. While zero-based budgeting (ZBB) has been wielded for decades to cut costs, it falls short when it comes to spurring growth. But a zero-based mindset (ZBx) does that and more. ZBx facilitates forensic oversight into resource allocation that funnels savings back into growth initiatives and encourages new sources of innovation. The Big Zero shows how a ZBx approach focuses on agility over austerity, visibility over guesswork and the future over the past to fuel growth and competitiveness.
Algorithmic Thinking, 2nd Edition: Learn Algorithms to Level Up Your Coding Skills
by Daniel ZingaroGet in the game and learn essential computer algorithms by solving competitive programming problems, in the fully revised second edition of the bestselling original. (Still no math required!)Are you hitting a wall with data structures and algorithms? Whether you&’re a student prepping for coding interviews or an independent learner, this book is your essential guide to efficient problem-solving in programming.UNLOCK THE POWER OF DATA STRUCTURES & ALGORITHMS:Learn the intricacies of hash tables, recursion, dynamic programming, trees, graphs, and heaps. Become proficient in choosing and implementing the best solutions for any coding challenge.REAL-WORLD, COMPETITION-PROVEN CODE EXAMPLES:The programs and challenges in this book aren&’t just theoretical—they&’re drawn from real programming competitions. Train with problems that have tested and honed the skills of coders around the world.GET INTERVIEW-READY:Prepare yourself for coding interviews with practice exercises that help you think algorithmically, weigh different solutions, and implement the best choices efficiently.WRITTEN IN C, USEFUL ACROSS LANGUAGES:The code examples are written in C and designed for clarity and accessibility to those familiar with languages like C++, Java, or Python. If you need help with the C code, no problem: We&’ve got recommended reading, too.Algorithmic Thinking is the complete package, providing the solid foundation you need to elevate your coding skills to the next level.
Advances in Intelligent Systems and Computing II: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2017, September 5-8 Lviv, Ukraine (Advances in Intelligent Systems and Computing #689)
by Natalia Shakhovska Volodymyr StepashkoThis book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on data mining and knowledge extraction technologies, as well as central issues in intelligent information management. Written by active researchers, the respective chapters are based on papers presented at the International Conference on Computer Science and Information Technologies (CSIT 2017), held on September 5–8, 2017, in Lviv, Ukraine; and at two workshops accompanying the conference: one on inductive modeling, jointly organized by the Lviv Polytechnic National University and the National Academy of Science of Ukraine; and another on project management, which was jointly organized by the Lviv Polytechnic National University, the International Project Management Association, the Ukrainian Project Management Association, the Kazakhstan Project Management Association, and Nazarbayev University. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.
Combinatorial Algorithms: 34th International Workshop, IWOCA 2023, Tainan, Taiwan, June 7–10, 2023, Proceedings (Lecture Notes in Computer Science #13889)
by Sun-Yuan Hsieh Ling-Ju Hung Chia-Wei LeeThis book constitutes the refereed proceedings of the 34th International Workshop on Combinatorial Algorithms, IWOCA 2023, held in Tainan, Taiwan, during June 7–10, 2023. The 33 full papers included in this book were carefully reviewed and selected from 86 submissions. They were organized in topical sections as follows: algorithms and data structures; algorithmic and combinatorical aspects of cryptography and information security; algorithmic game theory and complexity of games; approximation algorithms; complexity theory; combinatorics and graph theory; combinatorial generation, enumeration and counting; combinatorial optimization; combinatorics of words; computational biology; computational geometry; decompositions and combinatorial designs; distributed and network algorithms; experimental combinatorics; fine-grained complexity; graph algorithms and modelling with graphs; graph drawing and graph labelling; network theory and temporal graphs; quantum computing and algorithms for quantum computers; online algorithms; parameterized and exact algorithms; probabilistic and randomized algorithms; and streaming algorithms.
Innovations in Mechanical Engineering (Lecture Notes in Mechanical Engineering)
by José Machado Filomena Soares Justyna Trojanowska Erika OttavianoThis book covers a variety of topics in the field of mechanical engineering, with a special focus on methods and technologies for modeling, simulation, and design of mechanical systems. Based on a set of papers presented at the 1st International Conference “Innovation in Engineering”, ICIE, held in Guimarães, Portugal, on June 28–30, 2021, it focuses on innovation in mechanical engineering, spanning from engineering design and testing of medical devices, evaluation of new materials and composites for different industrial applications, fatigue and stress analysis of mechanical structures, and application of new tools such as 3D printing, CAE 3D models, and decision support systems. This book, which belongs to a three-volume set, provides engineering researchers and professionals with extensive and timely information on new technologies and developments in the field of mechanical engineering and materials.
Adaptive On- and Off-Earth Environments (Springer Series in Adaptive Environments)
by Angelo Cervone Henriette Bier Advenit MakayaThis volume investigates the challenges and opportunities for designing, manufacturing and operating off-Earth infrastructures in order to establish adaptive human habitats. The adaptive aspects are considered with respect to the development of adequate infrastructures designed to support human activities. Given the limitations in bringing materials from Earth, utilisation of in-situ resources is crucial for establishing and maintaining these infrastructures.Adaptive on-and off-Earth Environments focuses, among other aspects, on the design, production, and operation processes required to build and maintain such off-Earth infrastructures, while heavily relying on In-Situ Resource Utilisation (ISRU). Such design, production, and operation processes integrate cyber-physical approaches developed and tested on Earth. The challenge is to adapt on-Earth approaches to off-Earth applications aiming at technology advancement and ultimately transfer from on- to off-Earth research. Thischallenge is addressed with contributions from various disciplines ranging from power generation to architecture, construction, and materials engineering involving ISRU for manufacturing processes. All chapters, related to these disciplines, are structured with an emphasis on computing and adaptivity of on-Earth technology to off-Earth applications and vice versa to serve society at large.
Mastering Project Discovery: Successful Discipline in Engineering and Analytics Projects
by Elliot Bendoly Daniel Bachrach Kathy Koontz Porter SchermerhornIntroducing a comprehensive approach to invigorate project leadership, this book provides a framework – the OUtCoMES Cycle – for developing, managing, advancing, and optimizing engineering and analytics projects.All too often, issues of moral hazard and completion bias prevent engineering and analytics managers and team leaders from asking the critical question 'What’s the problem?', before committing time, energy, and resources to solve it. This book draws attention to the definition, structuring, option consideration and ultimately the addressing of the right problems, exploring the OUtCoMES Cycle framework that facilitates and energizes systematic thinking, knowledge sharing, and on-the-fly adjustment with an explicit focus on the maximization of value and ROI. Each chapter includes discussions and lessons in analytical and engineering problem identification, problem structuring, iterative problem development (mental and computational) and problem resolution, at least three embedded real-world case studies, and a closing 'Practitioner’s Recap' to contextualize key chapter takeaways.Written by a team of established academic scholars and practicing analysts and engineers, this is an accessible and culture-shifting action guide for instructors interested in training the next generation of project and analytics leaders, students of analytics and engineering, as well as practicing project leaders and principals.
Why AI?: All your questions about artificial intelligence answered by a computer scientist
by Dr Dharini BalasubramaniamAll your questions and worries about Al today - the who, what, where, when and WHY - answered by a computer scientist.It's here and it's not going away - AI is on everyone's mind, but many of us don't know what it is never mind what to think about it! Why AI? is a question-and-answer based exploration of the topic for ages 8 and up, from Dr Dharini Balasubramaniam, a computer scientist at University of St Andrews and a passionate advocate for ethics and education in her field. Dr Balasubramaniam's clear and balanced explanations put our mind at ease, while challenging readers to consider how far AI can and should go in certain areas. She introduces us to the history of the concept of machine learning, the pioneers in the field of AI and the amazing AI doing good in the world today. The book includes case studies on fascinating topics, such as search-engine AI and exciting robotics, and answers questions, such as: What did AI start?; Why do we need AI?; What can AI DO?; What should AI do?; What is the future of AI?
Social Media Marketing
by Tracy L. TutenThe original, bestselling, and award-winning textbook on social media marketing, featuring all the essential topics, concepts, research, and practical application for study and career success. Now thoroughly updated in this fifth edition to reflect the latest developments in social media marketing research and practice, and with new case studies and examples, including brands such as Apple, Cadbury, LUSH Cosmetics and Zoom. A must-read for all students and practitioners of social media marketing. Tracy L. Tuten is a professor of marketing at Sofia University, USA.
Social Media Marketing
by Tracy L. TutenThe original, bestselling, and award-winning textbook on social media marketing, featuring all the essential topics, concepts, research, and practical application for study and career success. Now thoroughly updated in this fifth edition to reflect the latest developments in social media marketing research and practice, and with new case studies and examples, including brands such as Apple, Cadbury, LUSH Cosmetics and Zoom. A must-read for all students and practitioners of social media marketing. Tracy L. Tuten is a professor of marketing at Sofia University, USA.
The Future of Open Data (Law, Technology, and Media)
by Michael Geist Tenille Brown Haewon Chung Sarah Greene Peter Johnson Elizabeth Judge Tracey Lauriault Ian Parfitt Fernando Perini Claus Rinner Renee Sieber Christine Varga Lisa Ward MatherThe Future of Open Data est issu d’un projet de recherche en partenariat subventionné pendant plusieurs années par le Conseil de recherches en sciences humaines (CRSH) qui vise à explorer les données gouvernementales géospatiales ouvertes dans une perspective interdisciplinaire. Les chercheurs associés à cette subvention ont adopté une perspective critique en sciences sociales basée sur l’impératif voulant que la recherche devrait être pertinente à la fois pour le gouvernement et pour les partenaires de la société civile œuvrant dans ce domaine.Cet ouvrage s’appuie sur les connaissances développées durant la période de validité de la subvention et soulève la question : « Quel est l’avenir des données ouvertes ? » Les collaborateurs partagent leurs idées à propos de l’avenir des données ouvertes à la suite d’observations et de recherches menées pendant cinq ans sur la communauté des données ouvertes canadiennes selon une perspective critique de ce qui pourrait et ce qui devrait arriver dans un contexte où évoluent les efforts concernant les données ouvertes.Chaque chapitre de ce livre aborde une diversité d’enjeux tout en s’appuyant sur des perspectives disciplinaires ou interdisciplinaires. Le premier chapitre retrace les origines des données ouvertes au Canada et la manière dont la situation a évolué jusqu’à aujourd’hui, en tenant compte du croisement entre le mouvement de souveraineté des données autochtones et les données ouvertes. Quelques chapitres se penchent sur certains dangers et sur les possibilités des données ouvertes, à leurs limites et même aux responsabilités qui s’y rattachent. Une autre série de chapitres examine les horizons appropriés pour les données ouvertes, incluant les données ouvertes dans le Sud global, les priorités des gouvernements locaux en matière de données et le contexte émergent des données ouvertes dans les milieux ruraux.
Future Horizons: Canadian Digital Humanities (Canadian Literature Collection)
by Dean Irvine Kiera Obbard Sandra Djwa Roopika Risam Andrea Zeffiro Deanna Fong M Ryan Fitzpatrick Gregory Betts M Eric Schmaltz Dani Spinosa Klara Du Plessis M David Gaertner M Mark V. Campbell M Jon Saklofske Julia Polyck-O’Neill Kim Martin Rashmeet Kaur Pascale Dangoisse Constance Crompton Michelle Schwartz Katherine McLeod Graham H. Jensen M Allan Cho Sarah Zhang Kendra Cowley Susan Brown Asen IvanovAu fil des vingt et quelques chapitres que compte cet ouvrage, les auteurs explorent le passé, le présent et l’avenir de la recherche, de l’enseignement et de l’expérimentation en sciences humaines numériques au Canada. Ce recueil, qui rassemble les travaux de chercheuses et de chercheurs établis et émergents, présente des initiatives contemporaines dans le domaine des sciences humaines numériques. Celles-ci sont conjuguées à un réexamen de l’héritage légué par ce domaine jusqu’à ce jour et à des discussions sur son potentiel. Future Horizons jette aussi un regard historique sur des projets numériques d’envergure, quoique largement méconnus, qui ont été réalisés au Canada. Future Horizons fait plonger le lecteur dans des projets qui mettent à contribution une vaste gamme d’approches — des jeux numériques aux laboratoires ouverts, des archives sonores à la poésie numérique, des arts visuels à l’analyse textuelle numérique — et qui puisent dans des matériaux canadiens tant historiques que contemporains. Dans leurs essais, les auteurs font voir comment une telle diversité d’approches remet en cause la connaissance en permettant aux chercheurs de poser de nouvelles questions.Ce recueil remet en question l’idée selon laquelle il n’existerait qu’une seule définition des sciences humaines numériques ou une seule identité collective nationale. En observant les interactions du numérique avec la race, l’autochtonie, le genre et la sexualité — sans oublier l’histoire, la poésie et le concept de nation —, Future Horizons propose une vue élargie du travail à l’intersection des sciences humaines numériques et des sciences humaines traditionnelles dans le Canada d’aujourd’hui. Ce livre est publié en anglais.Formats disponibles : couverture souple, PDF accessible et ePub accessible.
Soft Computing Principles and Integration for Real-Time Service-Oriented Computing
by Punit Gupta Dinesh Kumar Saini Kashif ZiaIn recent years, soft computing techniques have emerged as a successful tool to understand and analyze the collective behavior of service- oriented computing software. Algorithms and mechanisms of self- organization of complex natural systems have been used to solve problems, particularly in complex systems, which are adaptive, ever- evolving, and distributed in nature across the globe. What fits more perfectly into this scenario other than the rapidly developing era of Fog, IoT, and Edge computing environment? Service- oriented computing can be enhanced with soft computing techniques embedded inside the Cloud, Fog, and IoT systems.Soft Computing Principles and Integration for Real-Time Service-Oriented Computing explores soft computing techniques that have wide application in interdisciplinary areas. These soft computing techniques provide an optimal solution to the optimization problem using single or multiple objectives.The book focuses on basic design principles and analysis of soft computing techniques. It discusses how soft computing techniques can be used to improve quality-of-service in serviceoriented architectures. The book also covers applications and integration of soft computing techniques with a service- oriented computing paradigm. Highlights of the book include: A general introduction to soft computing An extensive literature study of soft computing techniques and emerging trends Soft computing techniques based on the principles of artificial intelligence, fuzzy logic, and neural networks The implementation of SOC with a focus on service composition and orchestration, quality of service (QoS) considerations, security and privacy concerns, governance challenges, and the integration of legacy systems The applications of soft computing in adaptive service composition, intelligent service recommendation, fault detection and diagnosis, SLA management, and security Such principles underlying SOC as loose coupling, reusability, interoperability, and abstraction An IoT based framework for real time data collection and analysis using soft computing
Advancing Diversity, Inclusion, and Social Justice Through Human Systems Engineering
by Rod D. Roscoe Erin K. Chiou Abigail R. WooldridgeWinner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community.Advancing Diversity, Inclusion, and Social Justice through Human Systems Engineering highlights how scholars and practitioners of HSE (inclusively defined to span many fields) can apply their theories and methods to understand and support healthy communities, include and empower diverse populations, and inspire strategies for a more inclusive future. This volume brings together experts from human factors, ergonomics, psychology, human-computer interaction, and more to demonstrate how these fields can be applied to societal challenges and solutions. Through a blend of research reports, literature reviews, and personal narratives, this volume explores these issues from the individual to the global scale, across diverse populations, and across multiple continents. Features Draws upon human factors and ergonomics theories and methods to evaluate, understand, and confront systemic threats to inclusion and social justice Offers actionable methodologies, strategies, and recommendations for conducting human-centered research, design, and training with marginalized or vulnerable populations Offers a venue for reporting and reconsidering the work of human factors and ergonomics from the perspectives of diversity, inclusion, and social justice
The Muse of Coding: Computer Programming as Art
by Richard GarfinkleThis book gives students and experienced programmers a way to see coding as an art and themselves as artists whose personal views, experiences, and ways of thinking can make their programs better for themselves and their users.This book shows in a good-humored and sympathetic way how the artistic and practical sides of programming are the same, delving into the methods of coding, the history of art, and the ways in which artists and audiences interact and benefit each other.Not confined to a single language or style of coding, this book provides a widely applicable framework for people to learn what languages and styles work best for them at present and as the field evolves. It can be used as a classroom text or for personal study and enrichment.
Modeling of Regional Atmospheric Pollution
by Laurent MenutThis book describes the main concepts used to develop and implement chemistry-transport models to calculate the evolution of regional air pollution. Since physico-chemical principles are already widely presented in various works, the perspective chosen for this book concerns the modeling of these processes. As modeling can be a simplification of reality in a particular study framework, we will try to show whether the processes represented are well modeled or not. For each process, we will discuss the simplifying assumptions that have been made, the various possible ways for improvement and the impact of these simplifications on the desired results. General information on pollution is presented, followed by observations, legislation, modeling of meteorology and then chemistry-transport, anthropogenic and natural emissions, depots, validation of calculations, optimization and data assimilation.
Grundlagen des Quantencomputing für Dummies (Für Dummies)
by whurley Floyd Earl SmithTauchen Sie ein in die Welt des Quantencomputing! In diesem Buch erfahren Sie, wieso Quantencomputer Probleme lösen können, für die Supercomputer Millionen von Jahren brauchen würden. Die Autoren zeigen Ihnen, welche wirtschaftlichen Potenziale das Quantencomputing für Ihr Unternehmen birgt und wie es Ihre Arbeit unterstützen kann. Sie vermitteln Ihnen nicht nur die Grundlagen, sondern zeigen Ihnen ganz konkret, wie das Quantencomputing Industrien wie das Finanzwesen, Transportwesen, die Pharmazie und Cybersecurity transformieren wird. Um Quantencomputing und sein Potenzial verstehen zu können, benötigen Sie keinen Doktortitel, sondern nur dieses Buch. Sie erfahren Welche Arten von Quantencomputern existieren und was sie unterscheidet Was Quantencomputing schon heute kann Wie Sie Ihr Unternehmen auf Quantencomputing vorbereiten Wie Sie Ihr erstes eigenes Quantencomputing-Programm schreiben
Deep Learning Tools for Predicting Stock Market Movements
by Renuka Sharma Kiran MehtaDEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis. The book: details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers. Audience The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.
Data Analysis and Related Applications 3: Theory and Practice, New Approaches
by Yiannis Dimotikalis Christos H. SkiadasThe book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. The published data analysis methodology includes the updated state-of-the-art rapidly developed theory and applications of data expansion, both of which go through outstanding changes nowadays. New approaches are expected to deliver and have been developed, including Artificial Intelligence.