The Predictive Edge
DOWNLOAD
Download The Predictive Edge PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get The Predictive Edge book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
The Predictive Edge
DOWNLOAD
Author : Alejandro Lopez-Lira
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-11
The Predictive Edge written by Alejandro Lopez-Lira and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-11 with Business & Economics categories.
Use ChatGPT to improve your analysis of stock markets and securities In The Predictive Edge: Outsmart the Market Using Generative AI and ChatGPT in Financial Forecasting, renowned AI and finance researcher Dr. Alejandro Lopez-Lira delivers an engaging and insightful new take on how to use large language models (LLMs) like ChatGPT to find new investment opportunities and make better trading decisions. In the book, you’ll learn how to interpret the outputs of LLMs to craft sounder trading strategies and incorporate market sentiment into your analyses of individual securities. In addition to a complete and accessible explanation of how ChatGPT and other LLMs work, you’ll find: Discussions of future trends in artificial intelligence and finance Strategies for implementing new and soon-to-come AI tools into your investing strategies and processes Techniques for analyzing market sentiment using ChatGPT and other AI tools A can’t-miss playbook for taking advantage of the full potential of the latest AI advancements, The Predictive Edge is a fully to-date and exciting exploration of the intersection of tech and finance. It will earn a place on the bookshelves of individual and professional investors everywhere.
Internet Of Things
DOWNLOAD
Author : Bharat Bhusan
language : en
Publisher: CRC Press
Release Date : 2022-04-28
Internet Of Things written by Bharat Bhusan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-28 with Computers categories.
Today, Internet of Things (IoT) is ubiquitous as it is applied in practice in everything from Industrial Control Systems (ICS) to e-Health, e-commerce, Cyber Physical Systems (CPS), smart cities, smart parking, healthcare, supply chain management and many more. Numerous industries, academics, alliances and standardization organizations make an effort on IoT standardization, innovation and development. But there is still a need for a comprehensive framework with integrated standards under one IoT vision. Furthermore, the existing IoT systems are vulnerable to huge range of malicious attacks owing to the massive numbers of deployed IoT systems, inadequate data security standards and the resource-constrained nature. Existing security solutions are insufficient and therefore it is necessary to enable the IoT devices to dynamically counter the threats and save the system. Apart from illustrating the diversified IoT applications, this book also addresses the issue of data safekeeping along with the development of new security-enhancing schemes such as blockchain, as well as a range of other advances in IoT. The reader will discover that the IoT facilitates a multidisciplinary approach dedicated to create novel applications and develop integrated solutions to build a sustainable society. The innovative and fresh advances that demonstrate IoT and computational intelligence in practice are discussed in this book, which will be helpful and informative for scientists, research scholars, academicians, policymakers, industry professionals, government organizations and others. This book is intended for a broad target audience, including scholars of various generations and disciplines, recognized scholars (lecturers and professors) and young researchers (postgraduate and undergraduates) who study the legal and socio-economic consequences of the emergence and dissemination of digital technologies such as IoT. Furthermore, the book is intended for researchers, developers and operators working in the field of IoT and eager to comprehend the vulnerability of the IoT paradigm. The book will serve as a comprehensive guide for the advanced-level students in computer science who are interested in understanding the severity and implications of the accompanied security issues in IoT. Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India. Prof. (Dr.) Sudhir Kumar Sharma is currently a Professor and Head of the Department of Computer Science, Institute of Information Technology & Management affiliated to GGSIPU, New Delhi, India. Prof. (Dr.) Bhuvan Unhelkar (BE, MDBA, MSc, PhD; FACS; PSM-I, CBAP®) is an accomplished IT professional and Professor of IT at the University of South Florida, Sarasota-Manatee (Lead Faculty). Dr. Muhammad Fazal Ijaz is working as an Assistant Professor in Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, Korea. Prof. (Dr.) Lamia Karim is a professor of computer science at the National School of Applied Sciences Berrechid (ENSAB), Hassan 1st University.
Fundamentals Of Predictive Text Mining
DOWNLOAD
Author : Sholom M. Weiss
language : en
Publisher: Springer
Release Date : 2015-09-07
Fundamentals Of Predictive Text Mining written by Sholom M. Weiss and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-07 with Computers categories.
This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this unique book provides helpful advice illustrated by examples and case studies. This highly anticipated second edition has been thoroughly revised and expanded with new material on deep learning, graph models, mining social media, errors and pitfalls in big data evaluation, Twitter sentiment analysis, and dependency parsing discussion. The fully updated content also features in-depth discussions on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Features: includes chapter summaries and exercises; explores the application of each method; provides several case studies; contains links to free text-mining software.
Predictive Intelligence In Medicine
DOWNLOAD
Author : Islem Rekik
language : en
Publisher: Springer Nature
Release Date : 2024-10-17
Predictive Intelligence In Medicine written by Islem Rekik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Computers categories.
This volume constitutes the refereed proceedings of the 7th International Workshop on Predictive Intelligence in Medicine, PRIME 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 17 full papers presented here were carefully reviewed and selected from 22 submissions. These papers focus on the current, cutting-edge Predictive models and methods with applications in the field of Medical data analysis, for early disease prediction and prevention.
Enterprise Intelligence Building Scalable Data Products For The Digital Supply Chain 2025
DOWNLOAD
Author : Author 1 : NAVEEN SAIKRISHNA PUPPALA, Author 2 : MASTER DR. S. B. KISHOR
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Enterprise Intelligence Building Scalable Data Products For The Digital Supply Chain 2025 written by Author 1 : NAVEEN SAIKRISHNA PUPPALA, Author 2 : MASTER DR. S. B. KISHOR and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In today’s hyper-connected global economy, supply chains have evolved from linear, function-centric processes into complex, data-driven ecosystems. As enterprises strive to remain agile, resilient, and customer-centric, the ability to harness and operationalize vast quantities of supply-chain data has become a strategic imperative. Enterprise Intelligence: Building Scalable Data Products for the Digital Supply Chain is designed to guide practitioners, architects, and decision-makers through the journey of transforming raw data into actionable intelligence that fuels competitive advantage. Drawing upon both industry best practices and cutting-edge research, this book is organized into eleven interrelated chapters, each addressing a critical dimension of end-to-end data-product development: · Foundations of Enterprise Intelligence in the Supply Chain establishes the conceptual framework, defining key principles and illustrating how data products differ from traditional reporting and analytics. · Architecting Scalable Data Infrastructure delves into the technology stack storage, compute, and networking required to support high-volume, low-latency workflows. · Data Governance and Quality in Supply Chain Systems underscores the importance of trust, consistency, and compliance, presenting methodologies to measure and enforce data integrity. · Real-Time Data Ingestion and Processing Pipelines explores modern stream-processing architectures that enable timely insights and reactive decision-making. · AI and ML for Predictive Supply Chain Intelligence demonstrates how machine learning models can anticipate demand fluctuations, optimize routes, and reduce inventory costs. · Digital Twins and Simulation for Operational Optimization shows how virtual replicas of physical systems empower “what-if” analyses and continuous process improvement. · Intelligent Inventory and Demand Planning Systems focuses on advanced algorithms for balancing stock levels, minimizing stockouts, and adapting to shifting market conditions. · Supplier and Risk Intelligence Platforms examines frameworks for evaluating supplier performance, forecasting disruptions, and automating risk mitigation. · Orchestrating Data Products for Supply Chain Collaboration addresses the cultural and technical mechanisms needed to share insights across organizational boundaries. · Cloud-Native Integration with ERP and Logistics Systems guides readers through seamless connectivity with enterprise resource planning and transportation-management solutions. · Visual Analytics and Decision Intelligence Dashboards demonstrates how intuitive, interactive interfaces translate complex data into clear, decision-ready insights. Whether you are building your first data-product prototype or scaling a global analytics platform, this book offers both strategic guidance and hands-on techniques. Throughout, you will find real-world examples, illustrative diagrams, and practical checklists designed to accelerate adoption and drive measurable outcomes. It is our hope that by the end of this journey, you will possess the knowledge and confidence to architect, deploy, and govern data products that unlock the full potential of your digital supply chain. Authors Naveen Saikrishna Puppala Master Dr. S. B. Kishor
Data Revolution
DOWNLOAD
Author : Sidney Shek
language : en
Publisher: Lulu.com
Release Date : 2012-01-01
Data Revolution written by Sidney Shek and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-01 with Computers categories.
Data has become a factor of production, like labor and steel, and is driving a new data-centered economy. The Data rEvolution is about data volume, variety, velocity and value. It is about new ways to organize and manage data for rapid processing using tools like Hadoop and MapReduce. It is about the explosion of new tools for "connecting the dots" and increasing knowledge, including link analysis, temporal analysis and predictive analytics. It is about a vision of "analytics for everyone" that puts sophisticated statistics into the hands of all. And, it is about using visual analytics to parse the data and literally see new relationships and insights on the fly. As the data and tools become democratized, we will see a new world of experimentation and creative problem-solving, where data comes from both inside and outside the organization. Your own data is not enough. This report is a must-read for IT and business leaders who want to maximize the value of data for their organization.
Video Coding
DOWNLOAD
Author : Luis Torres
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Video Coding written by Luis Torres and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
In recent years there has been an increasing interest in Second Generation Image and Video Coding Techniques. These techniques introduce new concepts from image analysis that greatly improve the performance of the coding schemes for very high compression. This interest has been further emphasized by the future MPEG 4 standard. Second generation image and video coding techniques are the ensemble of approaches proposing new and more efficient image representations than the conventional canonical form. As a consequence, the human visual system becomes a fundamental part of the encoding/decoding chain. More insight to distinguish between first and second generation can be gained if it is noticed that image and video coding is basically carried out in two steps. First, image data are converted into a sequence of messages and, second, code words are assigned to the messages. Methods of the first generation put the emphasis on the second step, whereas methods of the second generation put it on the first step and use available results for the second step. As a result of including the human visual system, second generation can be also seen as an approach of seeing the image composed by different entities called objects. This implies that the image or sequence of images have first to be analyzed and/or segmented in order to find the entities. It is in this context that we have selected in this book three main approaches as second generation video coding techniques: Segmentation-based schemes Model Based Schemes Fractal Based Schemes £/LIST£ Video Coding: The Second Generation Approach is an important introduction to the new coding techniques for video. As such, all researchers, students and practitioners working in image processing will find this book of interest.
Applied Deep Learning On Graphs
DOWNLOAD
Author : Lakshya Khandelwal
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-12-27
Applied Deep Learning On Graphs written by Lakshya Khandelwal and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-27 with Computers categories.
Gain a deep understanding of applied deep learning on graphs from data, algorithm, and engineering viewpoints to construct enterprise-ready solutions using deep learning on graph data for wide range of domains Key Features Explore graph data in real-world systems and leverage graph learning for impactful business results Dive into popular and specialized deep neural architectures like graph convolutional and attention networks Learn how to build scalable and productionizable graph learning solutions Purchase of the print or Kindle book includes a free PDF eBook Book Description With their combined expertise spanning cutting-edge AI product development at industry giants such as Walmart, Adobe, Samsung, and Arista Networks, Lakshya and Subhajoy provide real-world insights into the transformative world of graph neural networks (GNNs). This book demystifies GNNs, guiding you from foundational concepts to advanced techniques and real-world applications. You’ll see how graph data structures power today’s interconnected world, why specialized deep learning approaches are essential, and how to address challenges with existing methods. You’ll start by dissecting early graph representation techniques such as DeepWalk and node2vec. From there, the book takes you through popular GNN architectures, covering graph convolutional and attention networks, autoencoder models, LLMs, and technologies such as retrieval augmented generation on graph data. With a strong theoretical grounding, you’ll seamlessly navigate practical implementations, mastering the critical topics of scalability, interpretability, and application domains such as NLP, recommendations, and computer vision. By the end of this book, you’ll have mastered the underlying ideas and practical coding skills needed to innovate beyond current methods and gained strategic insights into the future of GNN technologies. What you will learn Discover how to extract business value through a graph-centric approach Develop a basic understanding of learning graph attributes using machine learning Identify the limitations of traditional deep learning with graph data and explore specialized graph-based architectures Understand industry applications of graph deep learning, including recommender systems and NLP Identify and overcome challenges in production such as scalability and interpretability Perform node classification and link prediction using PyTorch Geometric Who this book is for For data scientists, machine learning practitioners, researchers delving into graph-based data, and software engineers crafting graph-related applications, this book offers theoretical and practical guidance with real-world examples. A foundational grasp of ML concepts and Python is presumed.
New Advances In The Internet Of Things
DOWNLOAD
Author : Ronald R. Yager
language : en
Publisher: Springer
Release Date : 2017-06-23
New Advances In The Internet Of Things written by Ronald R. Yager and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-23 with Technology & Engineering categories.
This book presents a selection of highly relevant works concerning the Internet of Things, including: IoT Architectures, Standardization, Smart Cities, Smart Health, the communication of Smart Things, and outstanding IoT use cases. Some of these works present important future lines for the evolution of IoT systems. Thanks to its unique structure, the book allows authors to describe their works at an unprecedented level of detail. The special chapters contain extended versions of prominent and/or high-impact IoT projects that have laid the foundations of many subsequent IoT systems due to their level of innovation, and reflect highly relevant and innovative trends in the development of a new generation of IoT Systems.
Outrageous Fortune
DOWNLOAD
Author : James F. Vail
language : en
Publisher: McFarland
Release Date : 2002-01-21
Outrageous Fortune written by James F. Vail and has been published by McFarland this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-21 with Sports & Recreation categories.
The National Baseball Hall of Fame in Cooperstown, New York, enshrines some players whose worthiness seems questionable to the game's most knowledgeable fans--and excludes others whose credentials are remarkable. Critics of the current voting system, which uses two sets of electors and has been used for over sixty years, argue that it is too subjective--the only measurable requirement is that the player have at least ten years of major league service at the position for which he is selected. This critical and statistical study identifies the errors of selection and omission in Hall of Fame voting. It proposes a method that adapts objective, statistical criteria to the current selection process. The method preserves positives that exist in the current subjective method, while simultaneously reducing the likelihood of injustices to players, managers, and Negro Leaguers.