Data Science Demystified

Author : David Stephenson
Publisher : Pearson UK
Page : 178 pages
File Size : 54,9 Mb
Release : 2018-02-19
Category : Business & Economics
ISBN : 9781292218120

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Big Data Demystified by David Stephenson Pdf

The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.

Author : Cameron Wright
Publisher : Independently Published
Page : 0 pages
File Size : 40,9 Mb
Release : 2024-03-30
Category : Computers
ISBN : 9798321439357

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Data Science Demystified by Cameron Wright Pdf

Unravel the Mysteries of Data Science with Practical Insights! In "Data Science Demystified: Practical Techniques for Analyzing Big Data," Cameron Wright offers a comprehensive guide to navigating the complexities of data analysis in today's digital age. Whether you're a seasoned data scientist or a newcomer to the field, this book equips you with the essential tools and techniques to harness the power of big data effectively. Unlock the Secrets of Big Data Analysis With a clear and concise approach, Wright demystifies complex concepts, making them accessible to readers of all levels. From data collection and preprocessing to advanced machine learning algorithms, this book covers it all. You'll learn how to wrangle large datasets, extract valuable insights, and make informed decisions that drive business success. Practical Guidance for Real-World Applications Through practical examples and hands-on exercises, "Data Science Demystified" bridges the gap between theory and practice. Dive into case studies from various industries, including finance, healthcare, and marketing, and discover how data science is transforming businesses worldwide. Whether you're tackling predictive analytics or implementing data-driven strategies, this book provides the guidance you need to succeed. Stay Ahead in the Data Revolution In today's data-driven world, staying ahead of the curve is essential. "Data Science Demystified" empowers you to harness the full potential of big data and gain a competitive edge in your field. Whether you're looking to enhance your skills or embark on a new career path, this book is your ultimate companion in the journey to mastering data science. Don't miss out on the opportunity to revolutionize your approach to data analysis. Pick up your copy of "Data Science Demystified: Practical Techniques for Analyzing Big Data" today and embark on a transformative journey into the world of data science!

Author : Daniel Vaughan
Publisher : O'Reilly Media
Page : 244 pages
File Size : 40,6 Mb
Release : 2020-05-21
Category : Computers
ISBN : 9781492060918

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Analytical Skills for AI and Data Science by Daniel Vaughan Pdf

While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs. Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You’ll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues. Break business decisions into stages that can be tackled using different skills from the analytical toolbox Identify and embrace uncertainty in decision making and protect against common human biases Customize optimal decisions to different customers using predictive and prescriptive methods and technologies Ask business questions that create high value through AI- and data-driven technologies

Author : Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
Publisher : CRC Press
Page : 233 pages
File Size : 51,5 Mb
Release : 2017-02-15
Category : Medical
ISBN : 9781315389301

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Demystifying Big Data and Machine Learning for Healthcare by Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz Pdf

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Author : Gautam Banerjee,Mainak Sen,Krishnendu Maji
Publisher : Unknown
Page : 252 pages
File Size : 51,7 Mb
Release : 2015-02-17
Category : Electronic
ISBN : 1502375532

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Data Science Demystified by Gautam Banerjee,Mainak Sen,Krishnendu Maji Pdf

Author : David Stephenson
Publisher : Pearson UK
Page : 240 pages
File Size : 40,6 Mb
Release : 2018-02-14
Category : Business & Economics
ISBN : 9781292218113

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Big Data Demystified by David Stephenson Pdf

The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.

Author : Marcus Falconer
Publisher : Unknown
Page : 0 pages
File Size : 42,6 Mb
Release : 2024-03-19
Category : Business & Economics
ISBN : 9798869264619

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Data Science Demystified by Marcus Falconer Pdf

The extensive section "Data Science Demystified: A Journey Through the World of Predictive Analytics" is an invaluable resource for professionals new to and experienced in the dynamic field of data science. Data- driven decision-making has never been more critical in an age where technology and information rule the day. This section aims to demystify the complicated topic of data science by clearly and entertainingly breaking down the intricacies of predictive analytics. The section starts by giving readers a firm foundation by exposing them to the core ideas that form the basis of the data science field. Readers are taken on a trip that progressively reveals the layers of this complex field, starting with comprehending the importance of data collection and storage and working their way through the complexities of statistical analysis. The author adeptly traverses the theoretical framework, guaranteeing that those with less prior experience in the domain can comprehend the fundamentals. "Data Science Demystified" smoothly moves into the predictive modeling method, which is at the core of predictive analytics as the story progresses. The nuances of choosing and preparing data, investigating various algorithms, and deciphering model results are all explained to readers. The section presents case studies and real-world examples to highlight the transformative impact of predictive analytics across various industries, striking a balance between theoretical insights and practical implementations.

Author : Eric T. Peterson
Publisher : Bookrenter
Page : 256 pages
File Size : 48,6 Mb
Release : 2004
Category : Business & Economics
ISBN : 0974358428

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Web Analytics Demystified by Eric T. Peterson Pdf

Author : Jim Keogh,Ken Davidson
Publisher : McGraw Hill Professional
Page : 303 pages
File Size : 53,9 Mb
Release : 2004-03-15
Category : Computers
ISBN : 9780071469944

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Data Structures Demystified by Jim Keogh,Ken Davidson Pdf

Whether you are an entry-level or seasoned designer or programmer, learn all about data structures in this easy-to-understand, self-teaching guide that can be directly applied to any programming language. From memory and addresses to hashtables, authors Keogh and Davidson, provide clear explanations that demystify this “algebra of programming.”

Author : David Vance,Peggy Parskey
Publisher : Association for Talent Development
Page : 495 pages
File Size : 41,6 Mb
Release : 2020-11-17
Category : Business & Economics
ISBN : 9781950496860

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Measurement Demystified by David Vance,Peggy Parskey Pdf

Your Groundbreaking Framework for Measurement and Reporting Most people find measurement, analytics, and reporting daunting—and L&D professionals are no different. As these practices have become critically important for organizations’ efforts to improve performance, talent development professionals have often been slow to embrace them for many reasons, including the seeming complexity and challenge of the practices. Few organizations have a well-thought-out measurement and reporting strategy, and there are often scant resources, limited time, and imperfect data to work with when organizations do attempt to create one. Measurement Demystified: Creating Your L&D Measurement, Analytics, and Reporting Strategy is a much-needed and welcomed resource that breaks new ground with a framework to simplify the discussion of measurement, analytics, and reporting as it relates to L&D and talent development practitioners. This book helps practitioners select and use the right measures for the right reasons; select, create, and use the right types of reports; and create a comprehensive measurement and reporting strategy. Recognizing the angst and reluctance people often show in these areas, authors and experts David Vance and Peggy Parskey break down the practices and processes by providing a common language and an easy-to-use structure. They describe five types of reports, four broad reasons to measure, and three categories of measures. Their method works for large and small organizations, even if yours is an L&D staff of one or two. The guidance remains the same: Start small and grow. Measurement Demystified is a great first book for talent development professionals with no prior knowledge of or experience with measurement and a valuable resource for measurement experts. Those adept at lower levels of training evaluation will grow their knowledge base and capabilities, while measurement experts will discover shortcuts and nuggets of information to enhance their practices. A more comprehensive treatment of these important topics will not be found elsewhere.

Author : David Feinleib
Publisher : Unknown
Page : 214 pages
File Size : 47,6 Mb
Release : 2013-05-20
Category : Big data
ISBN : 061577461X

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Big Data Demystified by David Feinleib Pdf

Big Data Demystified provides a compelling look at one of the most important trends of this decade--Big Data. In this highly accessible book, David Feinleib, producer of The Big Data Landscape and Big Data TV, covers the key aspects of Big Data. The book also includes the latest edition of The Big Data Landscape. Praise for Big Data Demystified "Big Data Demystified is a must-read for anyone interested in BigData."-Brad Feld, Managing Director, Foundry Group "Big Data Demystified is a comprehensive look at Big Data. David has taken a complex topic and simplified it for all of us."-Ken Stephens, Senior vice president, Xerox Cloud Solutions "David uncovers what matters most about Big Data: its business impact. Big Data Demystified is a road atlas for data-driven decision makers."-Michael E. Driscoll, CEO of Metamarkets "Every business leader looking to create competitive advantage through data should stop and read this book."-Roger Ehrenberg, Managing Partner, IA Ventures "If you want to understand one of the most important trends to come along in decades, Big Data Demystified is for you."-Cameron Myhrvold, Ignition Partners "Dave's book is an essential read for anyone who wants to expand their knowledge of what Big Data means for business, government, science, and ultimately for human kind."-Sanjay Mehta, vice president of product marketing, Splunk Inc. "Feinleib explains how Big Data can help you create a richer model of your organization and the wider world and recognize events you would not have discovered otherwise."-Lars Björk, CEO of QlikTech

Author : Prashant Kikani
Publisher : BPB Publications
Page : 170 pages
File Size : 44,6 Mb
Release : 2021-01-05
Category : Computers
ISBN : 9789389898705

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Demystifying Artificial intelligence by Prashant Kikani Pdf

Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid

Author : Ali A. Gooyabadi,Zahra GorjianKhanzad,Newton Lee
Publisher : Springer Nature
Page : 198 pages
File Size : 52,7 Mb
Release : 2024-01-15
Category : Business & Economics
ISBN : 9783031471827

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Nonprofit Digital Transformation Demystified by Ali A. Gooyabadi,Zahra GorjianKhanzad,Newton Lee Pdf

In this compelling journey into Digital Transformation (DT) tailored for Nonprofit Organizations (NPOs), this book unravels the intricacies of technological integration. Grounded in over one hundred years of extensive research by authors and the editor, real-world examples, and using the San Diego Diplomacy Council (SDDC) as a primary case study, it introduces a tailored Digital Maturity Model (DMM) for NPOs. At the heart of this transformation are three pivotal pillars: Culture, Ethics, and Security. Part I sets the stage, painting a landscape of how NPOs have intertwined with the digital realm. As technology's omnipresence surges, Chapter Two offers a panorama of DT's historical and contemporary intersections with the nonprofit sector. The subsequent chapter emphasizes the stark reality: for many NPOs, digital adaptation is no longer about relevance but survival. Part II delves into the comparative digital strategies of NPOs and their for-profit counterparts in Chapter 4, highlighting the need for tailored approaches. Chapter 5 explores the Nonprofit Digital Maturity Model (NDMM), using the San Diego Diplomacy Council as a focal point. The journey then unfolds further in Chapter 6, which casts a spotlight on the strategic execution of DT in NPOs, weaving in comprehensive analyses to dissect the forces shaping an NPO's digital trajectory. Part III dives deeper, with Chapter 7 laying the foundation of the NDMM. The subsequent chapter meticulously unpacks the NDMM, culminating in Chapter 9, which emphasizes the pillars of DT—Culture, Ethics, and Security—forming the essence of the Nonprofit DT Strategic Framework (NDTSF). This chapter also crafts a tailored roadmap for NPOs, charting a comprehensive DT course. Concluding with a forward-looking stance, Chapter 10 thrusts readers into the enthralling fusion of AI and NPOs, exploring transformative potentials and ethical concerns. Through real-world cases, it positions AI as both a potent tool and a vital dialogue for NPOs. Essentially, this book equips NPOs with tools like the NDMM and insights from successful DT narratives. It seeks to provide a practical guide for nonprofits through their DT journey, ensuring they harness technology ethically and effectively without compromising their core values.

Author : Zahid Ameer
Publisher : Zahid Ameer
Page : 125 pages
File Size : 52,8 Mb
Release : 2024-03-18
Category : Science
ISBN : 8210379456XXX

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STEM Demystified by Zahid Ameer Pdf

Unlock the world of STEM with "STEM Demystified: A Comprehensive Guide to Essential Terms." Dive into fundamental concepts from Acceleration to Zoology, providing clarity on complex topics in science, technology, engineering, and mathematics. Perfect for students, educators, and enthusiasts seeking a deeper understanding of STEM disciplines.

Author : Gideon Ikwe
Publisher : Independently Published
Page : 0 pages
File Size : 54,5 Mb
Release : 2024-04-19
Category : Computers
ISBN : 9798323416721

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Data Demystified by Gideon Ikwe Pdf

Data Demystified: A Beginner's Guide to Understanding the World Through Numbers" is an engaging journey through the landscape of data, unraveling its complexities and showcasing its profound impact on our daily lives and the broader world. This book provides a foundational understanding of data's role in modern society, exploring its historical evolution, technical aspects, and vast applications across various sectors. The book begins by introducing the concept of data as the silent language that influences decisions, predicts trends, and shapes our personal preferences. It guides readers through the fundamental aspects of data, including its sources, the terminology used to discuss it, and the metrics and variables that help in data analysis. Each chapter progressively delves deeper into more complex topics such as data visualization, statistical thinking, and the principles behind effective data management. Practical applications of data are discussed extensively, with examples from business, healthcare, education, governance, and more, illustrating how data-driven strategies can lead to better decision-making and innovative solutions. The book also addresses the technological advancements that have expanded data's capabilities, such as big data analytics, the Internet of Things (IoT), and artificial intelligence (AI). "Data Demystified" is not just a technical guide; it also considers the ethical dimensions of data use, emphasizing the importance of responsible data management, privacy concerns, and the moral obligations of those who wield data in significant ways. Designed for beginners yet rich with insights, the book aims to equip readers with the knowledge to not only understand but also effectively use data to enhance their decision-making and strategic planning. It encourages a statistical mindset while making the subject accessible and engaging through real-world examples, practical advice, and a clear, concise writing style.