IGNOU Data Science & Big Data


Book Description

This book, "IGNOU Data Science and Big Data: Previous Years Unsolved Papers," has been meticulously compiled to serve as a vital resource for students pursuing this course. The collection of previous years' unsolved papers included in this book is intended to provide students with a clear understanding of the exam format, the variety of questions posed, and the key topics that have been emphasized in past assessments. These papers are an invaluable tool for students to practice and hone their problem-solving skills, gain familiarity with the types of challenges they may encounter in exams, and identify areas where further study may be needed. By working through these unsolved papers, students are not merely preparing for their exams; they are also deepening their understanding of the core principles and advanced techniques of Data Science and Big Data. Each question in these papers has been designed to test not just knowledge, but the ability to apply concepts to real-world problems, analyse data critically, and derive meaningful conclusions—skills that are essential for any aspiring data scientist or big data professional.




Data Science and Big Data Analytics


Book Description

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!




AIoT and Big Data Analytics for Smart Healthcare Applications


Book Description

AIoT (Artificial Intelligence of Things) and Big Data Analytics are catalyzing a healthcare revolution. This book is an accessible volume that summarizes the information available. In this book, researchers explore how AIoT and Big Data can seamlessly integrate into healthcare, enhancing medical services and devices while adhering to established protocols. The book demonstrates the crucial role of these technologies during healthcare crises like the COVID-19 pandemic. It presents novel solutions and computational techniques powered by AIoT, Machine Learning, and Deep Learning, providing a new frontier in healthcare problem-solving. Key Features: Real-Life Illustrations: Real-world examples showcase AIoT and Big Data in action, highlighting their impact in healthcare. Comprehensive Exploration: The book offers a thorough examination of AIoT, Big Data, and their harmonious synergy within the healthcare landscape. Visual Aids: Complex concepts become approachable through diagrams, flowcharts, and infographics, making technical processes and system designs more digestible. Ethical Insights: Delving into the ethical dimensions of AIoT and Big Data, it addresses concerns like data bias, patient consent, and transparency in healthcare. Forward-Looking Discourse: The book engages with emerging trends, potential innovations, and the future direction of AIoT and Big Data, making it a compass for healthcare transformation. Researchers, whether from academia, industry, or research and development organizations, interested in AIoT, Big Data, artificial intelligence, and healthcare optimization, will find this book informative. It also serves as an update for tech enthusiasts who want to explore the future of healthcare powered by AI and data.




Big Data Computing


Book Description

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix




Learn By Examples - A Quick Guide to Java Programming for Text Mining and NLP


Book Description

This book aim to equip the reader with Java Programming, Text Mining and Natural Language Processing basics. There will be many examples and explanations that are lucid and straight to the point. You will be walked through various projects and develop your own text mining application. This book will show you how to use Stanford NLP libraries also. Asides, we have also uploaded some of our own softwares at: http://DSTK.Tech Content Covered: IntroductionGetting Started (Installing IDE, ...)Language Essentials I (variables, data types, ...)Language Essentials II (loops, if... else..., methods)Object Essentials (classes, inheritance, polymorphism, encapsulation, ...)Text Mining Essentials (Import Text Files, Text Transformation (lowercase, stopwords), Text Understanding (Stanford NLP), Text Classification (Stanford Classifier) )ISBN: 978-1-63535-546-8




Integration and Application of Business Graduate and Business Leader Competency-Models


Book Description

Utilizing a skill and ability-based competency approach can be used to develop both individuals and organizations. Whether the skills are developed through on-the-job training or trained through educational programs, to be proficient is to gain mastery in the defined area. These standards of proficiency separate the talented from those that have talent and utilize this talent. Competency-models, systematic integration, and application of competency-models are a focus in today’s work environment to remain competitive and to attract quality talent. Therefore, focusing on the identification of management skillsets and the alignment of competency-models with organizational goals to achieve integration through the use of a system are essential to move from good to great management. Integration and Application of Business Graduate and Business Leader Competency-Models is a pivotal reference source that examines how educational competency-based programs and industry needs are being met, along with how best to meet and achieve desired strategic organizational outcomes through integration. By highlighting the organizational need for recruitment, development, and success through scalable approaches at all organizational levels, this book is ideally designed for business graduates, organizational leaders, managers, students, academicians, and researchers in the fields of leadership, social science, organizational development, and business management.




Learn By Examples - Asian Eastern Recipes [Singapore Food Tour and Learn to Cook Singapore Food]


Book Description

Have you ever want to tour Singapore and cook Singapore food? If yes, this book is for you. This book aims to be a Singapore Food Tour Guide and Cookbook. This book will guide you from Changi Airport to Bedok Hawker Centre to Orchard Road to Istana Park to Marina Bay Sands to Merlion to Boat Quay to Clarke Quay. This book will guide you to find good food in Singapore. When you go back to your country, this book will teach you how to cook Singapore Food. Contents 1. Singapore Food Tour (95 pages out of 325 pages.) 2. Chinese Food (Fried Rice, Oyster Egg, Steam Fish, Ginger Onion Garlic Stir Fry Chicken,) 3. Malay Food (Sambal Belacan Stir Fry Mussel, Cuttlefish, Razor Calms, Chicken) 4. Indian Food (Indian Curry Chicken) 5. Western Food (Cheese Cake, Chocolate Chips Cookies, Bread, Soy Baked Chicken, ) 6. Korean Food (Kim Chi, Kim Chi Fried Rice) 7. Japanese Food (Japanese Beancurd, Beancurd Kumbu Miso Soup, Udon Soup, ) 8. Thai Food (Tom Kha Gai, Green Curry Paste, Green Curry, Tom Yum Soup) 9. Grow Your Own Food(Grow Beansprouts, Grow Microgreens)




Effective Big Data Management and Opportunities for Implementation


Book Description

“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.




Sustainable Development in AI, Blockchain, and E-Governance Applications


Book Description

In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments. Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications.




Novel Research and Development Approaches in Heterogeneous Systems and Algorithms


Book Description

Almost every element of life, from commerce and agriculture to communication and entertainment, has been profoundly altered by computing. Around the world, people rely on computers for the creation of systems for energy, transportation, and military use. Additionally, computing fosters scientific advancements that advance our basic understanding of the world and assist in finding answers to pressing health and environmental issues. Novel Research and Development Approaches in Heterogeneous Systems and Algorithms addresses novel research and developmental approaches in heterogenous systems and algorithms for information-centric networks of the future. Covering topics such as image identification and segmentation, materials data extraction, and wireless sensor networks, this premier reference source is a valuable resource for engineers, consultants, practitioners, computer scientists, students and educators of higher education, librarians, researchers, and academicians.