Data Decoded Unveiling Insights From Visual Representations
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Data Decoded Unveiling Insights From Visual Representations
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-03-16
Data Decoded Unveiling Insights From Visual Representations written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-16 with Science categories.
In a world awash with data, "Data Decoded: Unveiling Insights from Visual Representations" emerges as a beacon of clarity and understanding. This comprehensive guide unlocks the secrets of data visualization, empowering readers to transform raw data into compelling visual stories that inform, engage, and inspire. Embark on a journey of discovery as you delve into the principles, techniques, and best practices of data visualization. Learn how to choose the right visualization for your data, harness the power of visual storytelling, and create impactful infographics and dashboards. Explore the vielfältigen applications of data visualization across diverse fields, from business and finance to healthcare and education. Discover how data visualization can help you make better decisions, solve problems, and gain a deeper understanding of the world around you. With its clear explanations, insightful examples, and practical tips, "Data Decoded" is the ultimate resource for anyone seeking to master the art of data visualization. Whether you're a business professional, a data analyst, a student, or simply someone curious about the power of visual storytelling, this book will equip you with the skills and knowledge you need to unlock the full potential of your data. Immerse yourself in the world of data visualization and uncover the hidden insights that lie within your data. "Data Decoded" is your essential guide to transforming data into visual clarity, empowering you to make informed decisions, drive meaningful actions, and gain a deeper appreciation for the beauty and power of data. If you like this book, write a review!
Decoding Cubesat Telemetry
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2024-09-01
Decoding Cubesat Telemetry written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-01 with Technology & Engineering categories.
**Decoding CubeSat Telemetry Master the Art of Satellite Communication** Unlock the mysteries of CubeSat telemetry with "Decoding CubeSat Telemetry" – your comprehensive guide to understanding and mastering the intricacies of satellite data transmission, reception, and analysis. Whether you’re a student, an amateur satellite enthusiast, or a professional in the field, this eBook is designed to elevate your knowledge and skills. Discover what CubeSat telemetry is and its historical significance. In the initial chapters, you'll explore the foundation of telemetry data, including various types and common protocols used in the industry. As you proceed, you’ll delve into the heart of CubeSat communication systems, from on-board transmitters to ground station receivers, ensuring a robust understanding of the complete communication cycle. Understanding data transmission is crucial, and our detailed sections on binary and packet data structures, along with error correction methods, will provide you with the necessary tools to handle data effectively. Learn how to collect telemetry data using advanced acquisition tools and monitor it in real-time, a vital skill for maintaining satellite health and performance. Signal processing fundamentals are thoroughly explained, covering modulation, demodulation, and noise reduction techniques. With this knowledge, you’ll be equipped to decode raw data and convert it into human-readable formats. Dive into the practical side with comprehensive chapters on interpreting telemetry parameters, using popular software tools for data analysis, and applying trend analysis and anomaly detection methodologies. Advanced chapters introduce machine learning applications and predictive analytics, key trends pushing the boundaries of telemetry analysis. Our case studies provide real-world examples of CubeSat health data and environmental monitoring, offering practical insights into telemetry interpretation. Addressing challenges such as data corruption and managing large data volumes, the book ensures you're prepared for any telemetry hurdle. Legal and ethical considerations, future trends, and the integration of telemetry data into operations round out this essential guide. Finish with hands-on workshops and resources for continued learning, solidifying your path to becoming a telemetry expert. Embark on your journey to decode and harness the power of CubeSat telemetry. **Download "Decoding CubeSat Telemetry" today and take the first step towards satellite communication mastery.**
Data Decoded
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Author : Dr Meera Suresh, Dr Lakshmi Shankar Iyer
language : en
Publisher: Notion Press
Release Date : 2025-02-13
Data Decoded written by Dr Meera Suresh, Dr Lakshmi Shankar Iyer and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Education categories.
Analytics plays a vital role in modern business, transforming data into actionable insights. Through analytics, businesses can enhance efficiency and competitiveness by uncovering patterns and predicting outcomes. By following a robust data management process through data preprocessing and data integration through data warehousing – a stepbystep approach is recommended to ensure better data quality. Data visualization simplifies complex datasets through visual elements such as charts and dashboards thus enabling stakeholders to understand insights quickly. Key trends shaping business analytics include Artificial Intelligence, Machine Learning and Natural Language Processing including intelligent agents and ethical aspects. This text book is custommade for young graduates who are pursuing various disciplines like humanities, science, commerce, management and have the willingness to explore the world of analytics in an easytounderstand manner. The book includes case studies, multiple choice questions, short answer questions along with the concepts to make the learning process simple.
Decoding Cultural Heritage
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Author : Fernando Moral-Andrés
language : en
Publisher: Springer Nature
Release Date : 2024-07-01
Decoding Cultural Heritage written by Fernando Moral-Andrés and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-01 with Computers categories.
This book provides readers with an overview of the use of digital techniques for cultural heritage preservation. Those include image processing, advanced sensing, geomatics or virtual and augmented reality. The use of newer tools such as generative artificial intelligence for images and 3D or advanced natural language processing systems is also considered. The ultimate goal is to provide readers with a global perspective of the state of the art on the use of digital tools for cultural heritage applications, both for researchers and professionals involved in cultural heritage and for computer scientists and engineers that design and develop technologies that can be used for cultural heritage preservation.
Learn Chart Js
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Author : Helder da Rocha
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28
Learn Chart Js written by Helder da Rocha 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 2019-02-28 with Computers categories.
Design interactive graphics and visuals for your data-driven applications using the popular open-source Chart.js data visualization library. Key FeaturesHarness the power of JavaScript, HTML, and CSS to create interactive visualizationsDisplay quantitative information efficiently in the form of attractive charts by using Chart.js A practical guide for creating data-driven applications using open-source JavaScript libraryBook Description Chart.js is a free, open-source data visualization library, maintained by an active community of developers in GitHub, where it rates as the second most popular data visualization library. If you want to quickly create responsive Web-based data visualizations for the Web, Chart.js is a great choice. This book guides the reader through dozens of practical examples, complete with code you can run and modify as you wish. It is a practical hands-on introduction to Chart.js. If you have basic knowledge of HTML, CSS and JavaScript you can learn to create beautiful interactive Web Canvas-based visualizations for your data using Chart.js. This book will help you set up Chart.js in a Web page and show how to create each one of the eight Chart.js chart types. You will also learn how to configure most properties that override Chart’s default styles and behaviors. Practical applications of Chart.js are exemplified using real data files obtained from public data portals. You will learn how to load, parse, filter and select the data you wish to display from those files. You will also learn how to create visualizations that reveal patterns in the data. This book is based on Chart.js version 2.7.3 and ES2015 JavaScript. By the end of the book, you will be able to create beautiful, efficient and interactive data visualizations for the Web using Chart.js. What you will learnLearn how to create interactive and responsive data visualizations using Chart.jsLearn how to create Canvas-based graphics without Canvas programmingCreate composite charts and configure animated data updates and transitionsEfficiently display quantitative information using bar and line charts, scatterplots, and pie chartsLearn how to load, parse, and filter external files in JSON and CSV formatsUnderstand the benefits of using a data visualization frameworkWho this book is for The ideal target audience of this book includes web developers and designers, data journalists, data scientists and artists who wish to create interactive data visualizations for the Web. Basic knowledge of HTML, CSS, and JavaScript is required. No Canvas knowledge is necessary.
Decoding Qualitative Inquiry A Comprehensive Guide To Research Design
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date :
Decoding Qualitative Inquiry A Comprehensive Guide To Research Design written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on with Social Science categories.
Enter the world of qualitative research, where understanding human experiences and interpreting social phenomena take center stage. "Decoding Qualitative Inquiry: A Comprehensive Guide to Research Design" is your key to unlocking the intricacies of this dynamic field. Within these pages, you'll embark on a journey through the diverse traditions of qualitative inquiry, exploring the philosophical foundations, methodologies, and practical applications that shape this powerful approach to research. Discover the interpretive depths of phenomenology, where lived experiences become the gateway to understanding human consciousness. Delve into the grounded approach of grounded theory, where data collection and analysis converge to generate rich theoretical insights. Unravel the complexities of ethnographic research, where immersion in cultural contexts yields a profound understanding of human behavior. Witness the transformative power of narrative inquiry, where stories and experiences illuminate the depths of human consciousness. Engage with the in-depth focus of case studies, offering unique perspectives on complex phenomena. Become an agent of change with action research, where collaboration and inquiry lead to transformative outcomes. Embrace the transformative potential of mixed methods research, where quantitative and qualitative approaches converge to provide a more comprehensive understanding of research questions. Master the art of data analysis in qualitative research, uncovering hidden insights and patterns within the wealth of qualitative data. Effectively communicate your findings through writing and communication strategies, ensuring that the value and significance of qualitative research are conveyed to diverse audiences. This comprehensive guide is an indispensable resource for students, researchers, and practitioners seeking to harness the power of qualitative research. With its blend of theoretical rigor and practical guidance, "Decoding Qualitative Inquiry" empowers you to design and conduct studies that illuminate the human condition and contribute to a deeper understanding of the social world around us.
Engineering Applications Of Artificial Intelligence
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Author : Aziza Chakir
language : en
Publisher: Springer Nature
Release Date : 2024-02-19
Engineering Applications Of Artificial Intelligence written by Aziza Chakir and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Computers categories.
Making intelligent devices and systems is the science and engineering of artificial intelligence (AI). In order to solve many of the most difficult problems in computer science, this important multidisciplinary discipline plays a crucial role in the field of technology nowadays. The book also addresses the topic of machine learning because it is closely related to AI. By no means is the list of subjects below intended to be comprehensive. The main objective of this book is to provide researchers, scientists, business professionals, and academics insight into original theories and research findings on the use of human cognitive models in diverse real-world computing applications. Through this book, the authors built an interdisciplinary forum where researchers from many fields may share their work and explore how to engineer human brain processes, learning mechanisms, and decision-making processes.
The Future Of Finance With Chatgpt And Power Bi
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Author : James Bryant
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-29
The Future Of Finance With Chatgpt And Power Bi written by James Bryant 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 2023-12-29 with Computers categories.
Enhance decision-making, transform your market approach, and find investment opportunities by exploring AI, finance, and data visualization with ChatGPT's analytics and Power BI's visuals Key Features Automate Power BI with ChatGPT for quick and competitive financial insights, giving you a strategic edge Make better data-driven decisions with practical examples of financial analysis and reporting Learn the step-by-step integration of ChatGPT, financial analysis, and Power BI for real-world success Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today's rapidly evolving economic landscape, the combination of finance, analytics, and artificial intelligence (AI) heralds a new era of decision-making. Finance and data analytics along with AI can no longer be seen as separate disciplines and professionals have to be comfortable in both in order to be successful. This book combines finance concepts, visualizations through Power BI and the application of AI and ChatGPT to provide a more holistic perspective. After a brief introduction to finance and Power BI, you will begin with Tesla's data-driven financial tactics before moving to John Deere's AgTech strides, all through the lens of AI. Salesforce's adaptation to the AI revolution offers profound insights, while Moderna's navigation through the biotech frontier during the pandemic showcases the agility of AI-focused companies. Learn from Silicon Valley Bank's demise, and prepare for CrowdStrike's defensive maneuvers against cyber threats. With each chapter, you'll gain mastery over new investing ideas, Power BI tools, and integrate ChatGPT into your workflows. This book is an indispensable ally for anyone looking to thrive in the financial sector. By the end of this book, you'll be able to transform your approach to investing and trading by blending AI-driven analysis, data visualization, and real-world applications.What you will learn Dominate investing, trading, and reporting with ChatGPT's game-changing insights Master Power BI for dynamic financial visuals, custom dashboards, and impactful charts Apply AI and ChatGPT for advanced finance analysis and natural language processing (NLP) in news analysis Tap into ChatGPT for powerful market sentiment analysis to seize investment opportunities Unleash your financial analysis potential with data modeling, source connections, and Power BI integration Understand the importance of data security and adopt best practices for using ChatGPT and Power BI Who this book is for This book is for students, academics, data analysts, and AI enthusiasts eager to leverage ChatGPT for financial analysis and forecasting. It's also suitable for investors, traders, financial pros, business owners, and entrepreneurs interested in analyzing financial data using Power BI. To get started with this book, understanding the fundamentals of finance, investment, trading, and data analysis, along with proficiency in tools like Power BI and Microsoft Excel, is necessary. While prior knowledge of AI and ChatGPT is beneficial, it is not a prerequisite.
Deep Learning
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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-13
Deep Learning written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.
Welcome to "Deep Learning: A Comprehensive Guide," a book meticulously designed to cater to the needs of learners at various stages of their journey into the fascinating world of deep learning. Whether you are a beginner embarking on your first exploration into artificial intelligence or a seasoned professional looking to deepen your expertise, this book aims to be your trusted companion. Deep learning, a subset of machine learning, has revolutionized the field of artificial intelligence, enabling advancements that were once thought to be the stuff of science fiction. From autonomous vehicles to sophisticated natural language processing systems, deep learning has become the backbone of many cutting-edge technologies. Understanding and mastering deep learning is not just a desirable skill but a necessity for anyone looking to thrive in the modern tech landscape. What This Book Offers This book is not just a theoretical exposition but a practical guide designed to provide you with a holistic learning experience. Here's a glimpse of what you can expect: Structured Content: Starts with neural network basics and advances to topics like convolutional, recurrent, and generative adversarial networks. Each chapter builds on the previous, ensuring a comprehensive learning journey. Online Practice Questions: Each chapter includes practice questions from basic to advanced levels to test and reinforce your understanding. Videos: Instructional videos complement the book's content, offering step-by-step explanations and real-life applications. Exercises and Projects: Includes exercises and hands-on projects that simulate real-world problems, providing practical experience. Lab Activities: Features lab activities using frameworks like TensorFlow and PyTorch for hands-on experimentation with deep learning models. Case Studies: Illustrates the application of deep learning in industries such as healthcare, finance, and entertainment, highlighting its transformative potential. Comprehensive Coverage: Covers a broad spectrum of topics, from theoretical foundations to practical implementations, latest advancements, ethical considerations, and future trends. Who Should Use This Book? This book is designed for: Students and Academics: Pursuing studies in computer science, data science, or related fields. Industry Professionals: Enhancing skills or transitioning into roles involving deep learning. Embarking on the journey to master deep learning is both challenging and rewarding. This book is designed to make that journey as smooth and enlightening as possible. We hope that the combination of theoretical knowledge, practical exercises, projects, and real-world applications will equip you with the skills and confidence needed to excel in the field of deep learning.
Decoding The Skies
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2025-05-12
Decoding The Skies written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Computers categories.
Unlock the secrets of the digital age with "Decoding the Skies," a transformative exploration into the world of data. As our lives become increasingly intertwined with technology, the ability to decipher and leverage data is more critical than ever. This comprehensive guide leads you through the complex data landscape, unraveling the mysteries of data literacy and empowering you with the skills necessary to thrive in today's information-rich environment. Begin your journey with an understanding of the Information Age, as you delve into the data deluge and its implications. Learn to navigate the ever-evolving data landscape and discover how to surmount the challenges of data interpretation. "Decoding the Skies" equips you with foundational data literacy, including the anatomy of data and key principles for critical evaluation, enabling you to develop a discerning mindset. Identifying relevant data is crucial, and this guide teaches you how to define relevance and conduct contextual analysis, while also helping you recognize the noise that bombards us with information overload. Discover effective models for data filtering through the use of algorithms and cognitive strategies. Harness the power of data analysis tools, from software solutions to statistical applications and visualization techniques, as you scrutinize the role of bias and learn methods to mitigate it for more accurate results. Ethical considerations are not forgotten, with important discussions on privacy concerns and data integrity. Explore big data technologies and their vast applications, and gain insight from case studies that highlight both data-driven discoveries and famous misinterpretations. Cultivate data skepticism, question sources, and embrace constructive doubt for more strategic decision-making. With insights into future trends and emerging technologies, "Decoding the Skies" champions continuous learning, providing resources and training to enhance your data literacy skills. Prepare to master the information landscape and face new challenges with confidence and expertise.