Download or read book STATISTICS written by Samuel Karoki and published by . This book was released on 2021-07 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the book, the author unpacks statistical ideas and presents them in ordinary language and situations. In so doing, he clarifies some misconceptions that are quite common in statistics. In the book, the author unpacks statistical ideas and presents them in ordinary language and situations. In so doing, he clarifies some misconceptions that are quite common in statistics.
Download or read book STATISTICS AN INVALUABLE TOOL FOR DECISION MAKING written by SAMUEL KAROKI and published by Blue Rose Publishers. This book was released on 2021-05-27 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the book, the author unpacks statistical ideas and presents them in ordinary language and situations. In so doing, he clarifies some misconceptions that are quite common in statistics.
Download or read book Next Generation Excel written by Isaac Gottlieb and published by John Wiley & Sons. This book was released on 2011-10-04 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rutgers professor, Dr. Isaac Gottlieb demonstrates an array of advanced financial and accounting functions in this practical Excel modeling book. He shows how to quickly create models that deliver accurate, relevant information related to efficiency, forecasting, and a host of other business and reporting issues. This book describes how Excel can be used efficiently to help build your spreadsheet for a variety of purposes. As an MBA student, an analyst or an executive you could become a spreadsheets expert.
Download or read book Data Science for Decision Makers written by Jon Howells and published by Packt Publishing Ltd. This book was released on 2024-07-26 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful results Key Features Master the concepts of statistics and ML to interpret models and guide decisions Identify valuable AI use cases and manage data science projects from start to finish Empower top data science teams to solve complex problems and build AI products Purchase of the print Kindle book includes a free PDF eBook Book DescriptionAs data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI. This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements. By the end of this book, you’ll be able to characterize the data within your organization and frame business problems as data science problems.What you will learn Discover how to interpret common statistical quantities and make data-driven decisions Explore ML concepts as well as techniques in supervised, unsupervised, and reinforcement learning Find out how to evaluate statistical and machine learning models Understand the data science lifecycle, from development to monitoring of models in production Know when to use ML, statistical modeling, or traditional BI methods Manage data teams and data science projects effectively Who this book is for This book is designed for executives who want to understand and apply data science methods to enhance decision-making. It is also for individuals who work with or manage data scientists and machine learning engineers, such as chief data officers (CDOs), data science managers, and technical project managers.
Download or read book AI Horizons written by Enamul Haque and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-04-05 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: As we stand on the brink of a new era, this book offers a comprehensive exploration of AI's ethical, social, and technological implications. It explores privacy, fairness, accountability, and the digital divide. The book features real-world case studies across diverse industries to illustrate AI's transformative power and its potential to revolutionize healthcare, education, transportation, and more. Special attention is given to the adoption of AI in emerging markets and emphasizes the importance of human-AI collaboration, where AI augments human intelligence and creativity rather than replacing it. It examines the need for human-centric design while also exploring AI governance and the role of multi-stakeholder collaboration in shaping the future of this technology. By fostering a comprehensive understanding of AI and its myriad implications, the book inspires thoughtful dialogue and responsible action to ensure a brighter, more equitable future for all. It is intended for business leaders, policymakers, academics, and curious individuals eager to understand AI's role in shaping our world and how we can responsibly harness its power. FEATURES - Emphasizes human-AI symbiosis, highlighting human-centric design and responsible development - Provides real-world examples across industries, showcasing AI's transformative impact - Explores AI adoption in emerging economies, addressing unique challenges and opportunities
Download or read book Mastering Data Visualization with Tableau written by Dr. Arpana Chaturvedi and published by BPB Publications. This book was released on 2024-07-11 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION "Mastering Data Visualization with Tableau” is an invaluable book that will help you become more knowledgeable and elevate your understanding and skills in data visualization using Tableau which is one of the leading tools in the industry. This comprehensive resource covers the basics of visual analytics, explaining both the theory and practical ways to turn raw data into useful insights. You will start with Tableau Desktop by learning to download it, navigate the interface, and connect to data sources. The book teaches you to create and format basic charts, adding interactivity with parameters, sets, sorting, and filtering. You will explore calculations and advanced visualizations like bar-in-bar charts and maps. It covers designing interactive dashboards, using text and images for storytelling, and sharing work via PDFs and Tableau Public. The book ends with AI features in Tableau and hands-on exercises to practice. Through this book, readers can gain the confidence to handle complex datasets, apply advanced visualization techniques, and harness Tableau's full potential to make informed decisions faster and with greater accuracy. This guide is your pathway to becoming proficient in the art and science of data visualization with Tableau. KEY FEATURES ● Detailed exploration of Tableau, Tableau interface, dimensions, measures, and other visualization tools. ● Techniques for interactive data visualization using actions, filters, sets, parameters, groups, and hierarchy. ● Advanced graphing techniques and dynamic visualization strategies, calculated fields, table calculations, and LOD. ● Comprehensive integration of AI to improve data analysis. WHAT YOU WILL LEARN ● Tableau for complex data visualizations and apply predictive analytics. Clean and prepare data efficiently and create interactive dashboards that drive strategic business decisions. ● Advanced charts like bar-in-bar, profit calendar, and map visualizations. ● Gain practical hands-on experience with a question bank based on various industry use cases, enhancing your ability to tackle real-world data challenges. WHO THIS BOOK IS FOR This book is an excellent resource for students from any discipline, data scientists, business analysts, and professionals eager to master Tableau for comprehensive insights, effective dashboards, and advanced data analysis. TABLE OF CONTENTS 1. Introduction to Data Visualization and Visual Analytics 2. Getting Started with Tableau Desktop 3. Connecting to Data Sources and Data Interpretation 4. Basic Data Visualization and Graphs in Tableau 5. Dynamic Interaction: Parameters, Set, Hierarchies, and Sorting 6. Dynamic Interaction Using Filter and Action on Worksheet 7. Advanced Data Visualization and Graphs in Tableau 8. Calculations in Tableau 9. Dashboard Design and Story Creation 10. Enhancing Dashboards: Sharing and Collaboration 11. Integrating AI in Tableau: An Overview 12. Data Cleaning and Preparation Using Tableau Prep Builder
Download or read book Advanced Data Analytics with AWS written by Joseph Conley and published by Orange Education Pvt Ltd. This book was released on 2024-04-17 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Fundamentals of Data Analytics at Scale KEY FEATURES ● Comprehensive guide to constructing data engineering workflows spanning diverse data sources ● Expert techniques for transforming and visualizing data to extract actionable insights ● Advanced methodologies for analyzing data and employing machine learning to uncover intricate patterns DESCRIPTION Embark on a transformative journey into the realm of data analytics with AWS with this practical and incisive handbook. Begin your exploration with an insightful introduction to the fundamentals of data analytics, setting the stage for your AWS adventure. The book then covers collecting data efficiently and effectively on AWS, laying the groundwork for insightful analysis. It will dive deep into processing data, uncovering invaluable techniques to harness the full potential of your datasets. The book will equip you with advanced data analysis skills, unlocking the ability to discern complex patterns and insights. It covers additional use cases for data analysis on AWS, from predictive modeling to sentiment analysis, expanding your analytical horizons. The final section of the book will utilize the power of data virtualization and interaction, revolutionizing the way you engage with and derive value from your data. Gain valuable insights into emerging trends and technologies shaping the future of data analytics, and conclude your journey with actionable next steps, empowering you to continue your data analytics odyssey with confidence. WHAT WILL YOU LEARN ● Construct streamlined data engineering workflows capable of ingesting data from diverse sources and formats. ● Employ data transformation tools to efficiently cleanse and reshape data, priming it for analysis. ● Perform ad-hoc queries for preliminary data exploration, uncovering initial insights. ● Utilize prepared datasets to craft compelling, interactive data visualizations that communicate actionable insights. ● Develop advanced machine learning and Generative AI workflows to delve into intricate aspects of complex datasets, uncovering deeper insights. WHO IS THIS BOOK FOR? This book is ideal for aspiring data engineers, analysts, and data scientists seeking to deepen their understanding and practical skills in data engineering, data transformation, visualization, and advanced analytics. It is also beneficial for professionals and students looking to leverage AWS services for their data-related tasks. TABLE OF CONTENTS 1. Introduction to Data Analytics and AWS 2. Getting Started with AWS 3. Collecting Data with AWS 4. Processing Data on AWS 5. Descriptive Analytics on AWS 6. Advanced Data Analysis on AWS 7. Additional Use Cases for Data Analysis 8. Data Visualization and Interaction on AWS 9. The Future of Data Analytics 10. Conclusion and Next Steps Index
Download or read book Business Intelligence written by Carlo Vercellis and published by John Wiley & Sons. This book was released on 2011-08-10 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence. Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation. Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies. Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions. This book is aimed at postgraduate students following data analysis and data mining courses. Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide.
Download or read book Discovery of Geospatial Resources Methodologies Technologies and Emergent Applications written by Díaz, Laura and published by IGI Global. This book was released on 2012-04-30 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides relevant theoretical frameworks and the latest empirical research finding to improve understanding of geospatial discovery methodologies and technologies, as well as techniques to design and deploy geospatial resources in Information Infrastructures"--Provided by publisher.
Download or read book From Data to Decisions Harnessing FP A for Financial Leadership written by Jovi Sia and published by Siace Publishing. This book was released on 2024-02-25 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: "From Data to Decisions: Harnessing FP&A for Financial Leadership" offers a comprehensive guide to mastering Financial Planning and Analysis (FP&A) in today's dynamic business landscape. The book begins by introducing the fundamental concepts of FP&A, outlining its key responsibilities, and tracing its evolution in historical context. It highlights the importance of FP&A in transforming data into actionable insights and driving financial leadership within organizations. Readers will gain insights into the core components of FP&A, including budgeting, forecasting, variance analysis, financial reporting, strategic planning, and performance management. Each component is explored in detail, with practical tips and best practices for leveraging data to make informed decisions. A significant focus is placed on strategic decision-making with FP&A, emphasizing the alignment of financial goals with strategic objectives. Topics such as scenario analysis, risk management, strategic cost management, and capital structure optimization are thoroughly examined, providing readers with actionable strategies for driving organizational success. Looking ahead, the book anticipates future trends and developments in FP&A, such as the integration of advanced analytics, real-time reporting, and non-financial metrics. Strategies for staying ahead in a rapidly changing landscape are outlined, emphasizing the importance of technology, continuous learning, innovation, and collaboration. "From Data to Decisions: Harnessing FP&A for Financial Leadership" is a must-read for finance professionals, executives, and business leaders seeking to harness the power of FP&A to drive strategic decision-making, achieve organizational goals, and lead with confidence in today's data-driven world.
Download or read book Geospatial Intelligence Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2019-03-01 with total page 1853 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision makers, such as government officials, need to better understand human activity in order to make informed decisions. With the ability to measure and explore geographic space through the use of geospatial intelligence data sources including imagery and mapping data, they are better able to measure factors affecting the human population. As a broad field of study, geospatial research has applications in a variety of fields including military science, environmental science, civil engineering, and space exploration. Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications explores multidisciplinary applications of geographic information systems to describe, assess, and visually depict physical features and to gather data, information, and knowledge regarding human activity. Highlighting a range of topics such as geovisualization, spatial analysis, and landscape mapping, this multi-volume book is ideally designed for data scientists, engineers, government agencies, researchers, and graduate-level students in GIS programs.
Download or read book Algorithms and Data Structures with Python written by Cuantum Technologies LLC and published by Packt Publishing Ltd. This book was released on 2024-06-12 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Python and elevate your algorithmic skills with this comprehensive course. From introductory concepts to advanced computational problems, learn how to efficiently solve complex challenges and optimize your code. Key Features Comprehensive introduction to Python programming and algorithms Detailed exploration of data structures and sorting/searching techniques Advanced topics including graph algorithms and computational problem-solving Book DescriptionBegin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development. Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges. The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence.What you will learn Master sorting and searching algorithms Implement hierarchical data structures like trees and graphs Apply advanced algorithmic techniques to solve complex problems Optimize code for efficiency and performance Understand and implement advanced graph algorithms Translate theoretical concepts into practical, real-world solutions Who this book is for This course is designed for a diverse group of learners, including technical professionals, software developers, computer science students, and data enthusiasts. It caters to individuals who have a basic understanding of programming and are eager to deepen their knowledge of Python and algorithms. Whether you're a recent graduate, or an experienced developer looking to expand your skill set, this course is tailored to meet the needs of all types of audiences. Ideal for those aiming to strengthen their algorithmic thinking and improve their coding efficiency.
Download or read book Digital Transformation for Fashion and Luxury Brands written by Wilson Ozuem and published by Springer Nature. This book was released on 2024 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book re-evaluates the diffusion and positioning of fashion and luxury brands following the impact and disruption of digital transformations, particularly on existing omni-channel models and touchpoints and consumer behaviours. By exploring the importance of digital transformation and discussing the benefits and challenges it has created for the fashion industry, this book provides insights into the role of various digital technologies, systems and strategies in generating and maintaining brand value and equity, customer engagement and experiences and connecting the marketplace and marketspace. Wilson Ozuem teaches and supervises research projects in a number of UK universities, including Anglia Ruskin University, City University of London, Warwick University, University of Birmingham and the University of Cumbria. His specific research interest is understanding the impacts of emerging computer-mediated marketing environments (CMMEs) on the fashion industry. Professor Ozuem is acknowledged as one of the international leaders in the study of digital marketing and multichannel retailing. His research has been published in key journals, including the European Journal of Marketing, Journal of Business Research, and many others. Silvia Ranfagni is Associate Professor of Marketing at the Department of Economics and Management at the University of Florence, Italy. Her research interests include innovation, internationalization, and brand management with special reference to the fashion and cultural industry. She has participated in international marketing conferences and has published in national and international journals such as Journal of Fashion Marketing and Management, Management Decision, European Journal of Marketing, Journal of Business Research, and Journal of Interactive Marketing. Michelle Willis is a lecturer of digital marketing at London Metropolitan University. Her doctorate is focused on customer loyalty and engagement within online brand communities. Her research lies in emerging technologies, particularly the interface between social networking sites and the development of marketing programmes. Several of her articles have been published in the journals Psychology & Marketing, Information Technology & People and Qualitative Market Research, and were presented at the American Marketing Association conference and the European Marketing Academy conference. Chapter 16 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com
Download or read book A Brief History of Mathematics written by Tianxin Cai and published by Springer Nature. This book was released on 2023-07-25 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, originally published in China and translated into four other languages, presents a fascinating and unique account of the history of mathematics, divided into eight chronologically organized chapters. Tracing the development of mathematics across disparate regions and peoples, with particular emphasis on the relationship between mathematics and civilization, it examines mathematical sources and inspirations leading from Egypt, Babylon and ancient Greece and expanding to include Chinese, Indian and Arabic mathematics, the European Renaissance and the French revolution up through the Nineteenth and Twentieth Centuries. Each chapter explores connections among mathematics and cultural elements of the time and place treated, accompanying the reader in a varied and exciting journey through human civilizations. The book contemplates the intersections of mathematics with other disciplines, including the relationship between modern mathematics and modern art, and the resulting applications, with the aid of images and photographs, often taken by the author, which further enhance the enjoyment for the reader. Written for a general audience, this book will be of interest to anyone who's studied mathematics in university or even high school, while also benefiting researchers in mathematics and the humanities.
Download or read book ILCA Annual Report 1985 86 written by International Livestock Centre for Africa and published by ILRI (aka ILCA and ILRAD). This book was released on with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Business Process Management Workshops written by Arthur ter Hofstede and published by Springer Science & Business Media. This book was released on 2008-02-29 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of 6 internationl workshops held in Brisbane, Australia, in conjunction with the 5th International Conference on Business Process Management, BPM 2007, in September 2007. The 45 revised full papers presented were carefully reviewed and selected from more than 80 submissions to the following 6 international workshops: Business Process Intelligence (BPI 2007), Business Process Design (BPD 2007), Collaborative Business Processes (CBP 2007), Process-oriented Information Systems in Healthcare (ProHealth 2007), Reference Modeling (RefMod 2007), and Advances in Semantics for Web Services (semantics4ws 2007).
Download or read book Proceedings of the 2023 International Conference on Image Algorithms and Artificial Intelligence ICIAAI 2023 written by Pushpendu Kar and published by Springer Nature. This book was released on 2023-11-25 with total page 1077 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. Scope of Conference 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI2023), which will be held from August 11 to August 13 in Singapore provides a forum for researchers and experts in different but related fields to discuss research findings. The scope of ICIAAI 2023 covers research areas such as imaging, algorithms and artificial intelligence. Related fields of research include computer software, programming languages, software engineering, computer science applications, artificial intelligence, Intelligent data analysis, deep learning, high-performance computing, signal processing, information systems, computer graphics, computer-aided design, Computer vision, etc. The objectives of the conference are: The conference aims to provide a platform for experts, scholars, engineers and technicians engaged in the research of image, algorithm and artificial intelligence to share scientific research results and cutting-edge technologies. The conference will discuss the academic trends and development trends of the related research fields of image, algorithm and artificial intelligence together, carry out discussions on current hot issues, and broaden research ideas. It will be a perfect gathering to strengthen academic research and discussion, promote the development and progress of relevant research and application, and promote the development of disciplines and promote talent training.
