Download or read book Big Data Demystified written by David Stephenson and published by Pearson UK. This book was released on 2018-02-19 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Demystifying Big Data and Machine Learning for Healthcare written by Prashant Natarajan and published by CRC Press. This book was released on 2017-02-15 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Demystifying Artificial intelligence written by Prashant Kikani and published by BPB Publications. This book was released on 2021-01-05 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Web Analytics Demystified written by Eric T. Peterson and published by Bookrenter. This book was released on 2004 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Demystifying AI for the Enterprise written by Prashant Natarajan and published by CRC Press. This book was released on 2021-12-30 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.

Download or read book Measurement Demystified written by David Vance and published by Association for Talent Development. This book was released on 2020-11-17 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Build a Career in Data Science written by Emily Robinson and published by Manning. This book was released on 2020-03-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder

Download or read book Biology Demystified written by Dale Layman and published by McGraw Hill Professional. This book was released on 2003-07-22 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Say goodbye to dry presentations, grueling formulas, and abstract theory that would put Einstein to sleep--now there's an easier way to master chemistry, biology, trigonometry, and geometry. McGraw-Hill's Demystified Series teaches complex subjects in a unique, easy-to-absorb manner and is designed for users without formal training, unlimited time, or genius IQs. Organized like self-teaching guides, they come complete with key points, background information, questions at the end of each chapter, and final exams. There's no better way to gain instant expertise! ABOUT BIOLOGY DEMYSTIFIED: * A college biology professor presents the fundamental facts, concepts, and principles of biology in an attractive and amusing framework * Great for anyone with an interest in biology, biotechnology, medicine, or the environment * Coverage includes both the anatomy and physiology of organisms as well as ecology and environmental relationships between organisms * Includes a pronunciation guide for difficult biological terms

Download or read book Data Structures Demystified written by Jim Keogh and published by McGraw Hill Professional. This book was released on 2004-03-15 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.”

Download or read book Digital Signal Processing Demystified written by James D. Broesch and published by Elsevier. This book was released on 2000-02-20 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: James D. Broesch is a staff engineer for General Atomics, where he is responsible for the design and development of several advanced control systems used on fusion control programs. He also teaches classes in signal processing and hardware design at the University of California-San Diego.·Integrated book/software package allows readers to simulate digital signal processing (DSP) situations and experiment with effects of different DSP techniques.·Gives an applications-oriented approach to DSP instead of a purely mathematical one.·The accompanying CD includes a DSP "calculator" to help solve design problems

Download or read book Video Demystified written by Keith Jack and published by Newnes. This book was released on 2005 with total page 954 pages. Available in PDF, EPUB and Kindle. Book excerpt: This international bestseller and essential reference is the "bible" for digital video engineers and programmers worldwide. This is by far the most informative analog and digital video reference available, includes the hottest new trends and cutting-edge developments in the field.Video Demystified, Fourth Edition is a "one stop" reference guide for the various digital video technologies. The fourth edition is completely updated with all new chapters on MPEG-4, H.264, SDTV/HDTV, ATSC/DVB, and Streaming Video (Video over DSL, Ethernet, etc.), as well as discussions of the latest standards throughout. The accompanying CD-ROM is updated to include a unique set of video test files in the newest formats.

Download or read book Handbook of Research on Cloud Infrastructures for Big Data Analytics written by Raj, Pethuru and published by IGI Global. This book was released on 2014-03-31 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Download or read book Global Warming and Climate Change Demystified written by Jerry Silver and published by McGraw Hill Professional. This book was released on 2008-02-24 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: A non-heated discussion on global warming and climate change Interested in getting to the core of the reasons for the Earth's changing climate? Want an accurate reading on the science behind global warming? Here's your gauge! This easy-to-follow guide offers a temperate view of this hot topic. Global Warming & Climate Change Demystified starts by looking at scientific data gathered from weather instruments, satellite telemetry, ice cores, and coral sections that reveal how the Earth's temperature is changing. The book goes on to examine the causes of climate change, including both natural processes and human-generated greenhouse gases. Finally, the consequences of global warming are discussed and a wide variety of viable solutions that can be implemented by individuals as well as society as a whole are presented. Complete with end-of-chapter quizzes and a final review to test your knowledge, this book will teach you the fundamentals of global warming and climate change in an unbiased and thorough manner. This fast and easy guide offers: A thorough review of scientific data Details on the evidence of global warming worldwide Information on the origin and impact of greenhouse gases Explanations of alternatives to carbon-based energy sources Suggestions for local and global solutions Simple enough for a beginner, but challenging enough for an advanced student, Global Warming & Climate Change Demystified is your shortcut to understanding this important and timely issue.

Download or read book Demystifying Climate Models written by Andrew Gettelman and published by Springer. This book was released on 2016-04-09 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models. Case studies of how climate model output has been used and how it might be used in the future are provided. The ultimate goal of this book is to promote a better understanding of the structure and uncertainties of climate models among users, including scientists, engineers and policymakers.

Download or read book Borderline Personality Disorder Demystified Revised Edition written by Robert O. Friedel and published by Da Capo Lifelong Books. This book was released on 2018-02-20 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authoritative guide to understanding and living with borderline personality disorder, now fully revised and updated Millions of Americans suffer from borderline personality disorder (BPD), a psychiatric condition marked by extreme emotional instability, erratic and self-destructive behavior, and tumultuous relationships. Though it was once thought to be untreatable, today researchers and clinicians know that there is every reason for hope. Dr. Robert Friedel, a leading expert and pioneer in pharmacological treatment for BPD, combines his extensive knowledge and personal experience into this comprehensive guide. Borderline Personality Disorder Demystified shares: The latest findings on the course and causes of the disorder Up-to-date information on diagnosis An accessible overview of cutting-edge treatment options For those who have been diagnosed and those who think they may have the illness, and for the family and friends who love and support them, this book illuminates new information and points the way to an ever more hopeful future. The revised edition includes new forewords from Donald W. Black, MD, and Nancee S. Blum, MSW, and family educators James and Diane Hall.

Download or read book Getting Started with Data Science written by Murtaza Haider and published by IBM Press. This book was released on 2015-12-14 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon.

Download or read book Databases Demystified written by Andrew Oppel and published by McGraw Hill Professional. This book was released on 2004-03-19 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through clear language, step-by-step discussions, and quizzes at the end of each chapter, the author makes databases easy. Quickly learn the core skills needed to design, configure, manage, and manipulate databases, whether at work or at home. Topics such as exploring different database models, planning their design, minimizing redundant data, designing tables, applying database design concepts, and implementing database security are covered. This is that fast, easy-to-understand tutorial that you’ve been looking for.