One-to-One Personalization in the Age of Machine Learning

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Publisher :
ISBN 13 : 9780999369456
Total Pages : 182 pages
Book Rating : 4.3/5 (694 download)

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Book Synopsis One-to-One Personalization in the Age of Machine Learning by : Karl Wirth

Download or read book One-to-One Personalization in the Age of Machine Learning written by Karl Wirth and published by . This book was released on 1901 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over 25 years, marketers have longed to connect with their customers and prospects as individuals. As the volume of customer communications across touch points grows exponentially and consumers' attention spans shrink by the day, delivering maximally relevant, individualized experiences has become an imperative. And while the one-to-one dream h.

Personalized Machine Learning

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Publisher : Cambridge University Press
ISBN 13 : 1009008579
Total Pages : 338 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Personalized Machine Learning by : Julian McAuley

Download or read book Personalized Machine Learning written by Julian McAuley and published by Cambridge University Press. This book was released on 2022-02-03 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications.

One-To-One Personalization in the Age of Machine Learning

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Author :
Publisher : Bookbaby
ISBN 13 : 9780999369449
Total Pages : 230 pages
Book Rating : 4.3/5 (694 download)

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Book Synopsis One-To-One Personalization in the Age of Machine Learning by : Karl Wirth

Download or read book One-To-One Personalization in the Age of Machine Learning written by Karl Wirth and published by Bookbaby. This book was released on 2020-01-07 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over 25 years, marketers have longed to connect with their customers and prospects as individuals. As the volume of customer communications across touch points grows exponentially and consumers' attention spans shrink by the day, delivering maximally relevant, individualized experiences has become an imperative. And while the one-to-one dream had been unattainable for years, machine learning and real-time processing have made it possible today. In this book--now in its second edition--discover what one-to-one personalization is all about, how it's evolved and what the future entails. Learn how it's driven by machine learning, delivered across channels and powered by in-depth customer data brought together in a customer data platform (CDP). Get inspired by the potential for your business and gain insights on how to develop your own personalization strategy and program. Discover how to turn the one-to-one dream into a reality.

Teaching Machines

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Publisher : MIT Press
ISBN 13 : 026254606X
Total Pages : 325 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Teaching Machines by : Audrey Watters

Download or read book Teaching Machines written by Audrey Watters and published by MIT Press. This book was released on 2023-02-07 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: How ed tech was born: Twentieth-century teaching machines--from Sidney Pressey's mechanized test-giver to B. F. Skinner's behaviorist bell-ringing box. Contrary to popular belief, ed tech did not begin with videos on the internet. The idea of technology that would allow students to "go at their own pace" did not originate in Silicon Valley. In Teaching Machines, education writer Audrey Watters offers a lively history of predigital educational technology, from Sidney Pressey's mechanized positive-reinforcement provider to B. F. Skinner's behaviorist bell-ringing box. Watters shows that these machines and the pedagogy that accompanied them sprang from ideas--bite-sized content, individualized instruction--that had legs and were later picked up by textbook publishers and early advocates for computerized learning. Watters pays particular attention to the role of the media--newspapers, magazines, television, and film--in shaping people's perceptions of teaching machines as well as the psychological theories underpinning them. She considers these machines in the context of education reform, the political reverberations of Sputnik, and the rise of the testing and textbook industries. She chronicles Skinner's attempts to bring his teaching machines to market, culminating in the famous behaviorist's efforts to launch Didak 101, the "pre-verbal" machine that taught spelling. (Alternate names proposed by Skinner include "Autodidak," "Instructomat," and "Autostructor.") Telling these somewhat cautionary tales, Watters challenges what she calls "the teleology of ed tech"--the idea that not only is computerized education inevitable, but technological progress is the sole driver of events.

Personalized Learning

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Publisher : International Society for Technology in Education
ISBN 13 : 1564845443
Total Pages : 200 pages
Book Rating : 4.5/5 (648 download)

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Book Synopsis Personalized Learning by : Peggy Grant

Download or read book Personalized Learning written by Peggy Grant and published by International Society for Technology in Education. This book was released on 2014-06-21 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Personalized Learning: A Guide for Engaging Students with Technology is designed to help educators make sense of the shifting landscape in modern education. While changes may pose significant challenges, they also offer countless opportunities to engage students in meaningful ways to improve their learning outcomes. Personalized learning is the key to engaging students, as teachers are leading the way toward making learning as relevant, rigorous, and meaningful inside school as outside and what kids do outside school: connecting and sharing online, and engaging in virtual communities of their own Renowned author of the Heck: Where the Bad Kids Go series, Dale Basye, and award winning educator Peggy Grant, provide a go-to tool available to every teacher today—technology as a way to ‘personalize’ the education experience for every student, enabling students to learn at their various paces and in the way most appropriate to their learning styles.

The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning

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Publisher : McGraw Hill Professional
ISBN 13 : 1260441261
Total Pages : 320 pages
Book Rating : 4.2/5 (64 download)

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Book Synopsis The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning by : William Ammerman

Download or read book The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning written by William Ammerman and published by McGraw Hill Professional. This book was released on 2019-05-24 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Marketers are harnessing the enormous power of AI to drive unprecedented results The world of marketing is undergoing major change. Sophisticated algorithms can test billions of marketing messages and measure results, and shift the weight of campaigns—all in real time. What’s next? A complete transformation of marketing as we know it, where machines themselves design and implement customized advertising tactics at virtually every point of digital contact. The Invisible Brand provides an in-depth exploration of the risks and rewards of this epochal shift—while delivering the information and insight you need to stay ahead of the game. Renowned technologist William Ammerman draws from his decades of experience at the forefront of digital marketing to provide a roadmap to our data-driven future. You’ll learn how data and AI will forge a new level of persuasiveness and influence for reshaping consumers’ buying decisions. You’ll understand the technology behind these changes and see how it is already at work in digital assistants, recommendation engines and digital advertising. And you’ll find unmatched insight into how to harness the power of artificial intelligence for maximum results. As we enter the age of mass customization of messaging, power and influence will go to those who know the consumer best. Whether you are a marketing executive or concerned citizen, The Invisible Brand provides everything you need to understand how brands are harnessing the extraordinary amounts of data at their disposal—and capitalizing on it with AI.

Managing Customer Experience and Relationships

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Publisher : John Wiley & Sons
ISBN 13 : 1119815339
Total Pages : 517 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Managing Customer Experience and Relationships by : Don Peppers

Download or read book Managing Customer Experience and Relationships written by Don Peppers and published by John Wiley & Sons. This book was released on 2022-04-26 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every business on the planet is trying to maximize the value created by its customers Learn how to do it, step by step, in this newly revised Fourth Edition of Managing Customer Experience and Relationships: A Strategic Framework. Written by Don Peppers and Martha Rogers, Ph.D., recognized for decades as two of the world's leading experts on customer experience issues, the book combines theory, case studies, and strategic analyses to guide a company on its own quest to position its customers at the very center of its business model, and to "treat different customers differently." This latest edition adds new material including: How to manage the mass-customization principles that drive digital interactions How to understand and manage data-driven marketing analytics issues, without having to do the math How to implement and monitor customer success management, the new discipline that has arisen alongside software-as-a-service businesses How to deal with the increasing threat to privacy, autonomy, and competition posed by the big tech companies like Facebook, Amazon, and Google Teaching slide decks to accompany the book, author-written test banks for all chapters, a complete glossary for the field, and full indexing Ideal not just for students, but for managers, executives, and other business leaders, Managing Customer Experience and Relationships should prove an indispensable resource for marketing, sales, or customer service professionals in both the B2C and B2B world.

The Complete Guide to B2B Marketing

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Publisher : Pearson Education
ISBN 13 : 0134084640
Total Pages : 256 pages
Book Rating : 4.1/5 (34 download)

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Book Synopsis The Complete Guide to B2B Marketing by : Kim Ann King

Download or read book The Complete Guide to B2B Marketing written by Kim Ann King and published by Pearson Education. This book was released on 2015-03-23 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: To succeed at B2B marketing today, you must excel across all areas: from getting your message out, to generating demand, to enabling sales teams. New technologies and new techniques make excellence possible. Now, top B2B marketer Kim Ann King brings together all the best practices and tools you need to make excellence real. In The Complete Guide to B2B Marketing, King helps you succeed by focusing on the three pillars of cutting-edge B2B marketing: automation, personalization, and experimentation. Drawing on her pioneering experience at companies like Akamai and Open Market, King shows how to: Systematically assess your context and customer, via personas, profiles, and other powerful techniques Choose among today's panoply of marketing options, tools, and techniques Build a more agile B2B marketing organization, and link its goals more tightly to strategy More accurately estimate marketing spend and ROI Systematically optimize demand generation and many other key functions Leverage higher-value approaches to web/mobile, SEO, and customer community-building Gain more value from corporate standards and your creative services vendors Discover what worked and what didn't, and use this knowledge to improve more quickly You'll find comprehensive, actionable resources, including best-practices checklists for every tactic, vendor checklists for evaluating new marketing technologies, a complete corporate marketing plan outline, and a start-to-finish marketing communications case study. If you're a B2B marketer, you'll find The Complete Guide to B2B Marketing invaluable – whatever your company's size, product, service, or industry.

Algorithmic Marketing and EU Law on Unfair Commercial Practices

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Publisher : Springer Nature
ISBN 13 : 3031136039
Total Pages : 280 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Algorithmic Marketing and EU Law on Unfair Commercial Practices by : Federico Galli

Download or read book Algorithmic Marketing and EU Law on Unfair Commercial Practices written by Federico Galli and published by Springer Nature. This book was released on 2022-08-30 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) systems are increasingly being deployed by marketing entities in connection with consumers’ interactions. Thanks to machine learning (ML) and cognitive computing technologies, businesses can now analyse vast amounts of data on consumers, generate new knowledge, use it to optimize certain processes, and undertake tasks that were previously impossible. Against this background, this book analyses new algorithmic commercial practices, discusses their challenges for consumers, and measures such developments against the current EU legislative framework on consumer protection. The book adopts an interdisciplinary approach, building on empirical findings from AI applications in marketing and theoretical insights from marketing studies, and combining them with normative analysis of privacy and consumer protection in the EU. The content is divided into three parts. The first part analyses the phenomenon of algorithmic marketing practices and reviews the main AI and AI-related technologies used in marketing, e.g. Big data, ML and NLP. The second part describes new commercial practices, including the massive monitoring and profiling of consumers, the personalization of advertising and offers, the exploitation of psychological and emotional insights, and the use of human-like interfaces to trigger emotional responses. The third part provides a comprehensive analysis of current EU consumer protection laws and policies in the field of commercial practices. It focuses on two main legal concepts, their shortcomings, and potential refinements: vulnerability, understood as the conceptual benchmark for protecting consumers from unfair algorithmic practices; manipulation, the substantive legal measure for drawing the line between fair and unfair practices.

The Personalization Paradox

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Publisher : XML Press
ISBN 13 : 1937434737
Total Pages : 280 pages
Book Rating : 4.9/5 (374 download)

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Book Synopsis The Personalization Paradox by : Val Swisher

Download or read book The Personalization Paradox written by Val Swisher and published by XML Press. This book was released on 2021-03-08 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: According to Infosys, 86% of consumers surveyed indicated that personalized content has some impact on what they purchase and 25% said that personalization plays a large role in their purchases. And yet, looking at the data, two things stand out: Most companies say that personalizing the customer experience is a critical "must have," and they have the statistics to back it up. Very few companies believe they are delivering enough personalized content, or deliver it well. What's holding these companies back from their personalization goals? And how can you avoid the pitfalls and make personalization possible with your own enterprise content? In this book, global content strategy expert Val Swisher and senior content strategist Regina Lynn Preciado show you exactly what it takes to deliver personalized experiences at scale. You'll learn: Why personalized content is imperative to the enterprise Why so many companies fail to deliver - and how to avoid the pitfalls The five dimensions of content standardization How to bring people, technology, and process together The impact of big data and artificial intelligence The only way to deliver personalized content at scale is to automate the process at the point of delivery. And for that to work, you've got to change how you "do" content. The Personalization Paradox: Why Companies Fail (and How to Succeed) at Delivering Personalized Experiences at Scale shows you how.

Digital Marketing Strategy

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Publisher : Kogan Page Publishers
ISBN 13 : 0749484233
Total Pages : 385 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Digital Marketing Strategy by : Simon Kingsnorth

Download or read book Digital Marketing Strategy written by Simon Kingsnorth and published by Kogan Page Publishers. This book was released on 2019-04-03 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimize your digital channels and ensure your marketing strategy aligns with business objectives, with this second edition of the bestselling guide to digital marketing - recommended by the Chartered Institute of Marketing. There is no shortage of digital marketing resources yet finding a book that covers all disciplines can be a challenge. This essential and highly readable book provides an accessible, step-by-step framework to the planning, integration and measurement of each digital platform and technique, all tailored to achieve overarching business objectives. Now featuring cutting edge updates on social media, SEO, content marketing, user experience and customer loyalty, Digital Marketing Strategy is an ideal road map for navigating: -Marketing automation, personalization, messaging and email -Online and offline integration -The power of technologies, such as AI -New data protection and privacy strategies Accompanied by downloadable practical implementation guides spanning SEO, paid-search, email, lead-generation and more, Digital Marketing Strategy will show you how to effectively select, align and manage digital channels and operations, to streamline a winning digital marketing strategy for measurable, optimized results. It is an essential guide for any marketer to build an effective and practical digital strategy.

AI Marketing Mastery

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Publisher : eBookIt.com
ISBN 13 : 1456653288
Total Pages : 144 pages
Book Rating : 4.4/5 (566 download)

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Book Synopsis AI Marketing Mastery by : Cameron Blake

Download or read book AI Marketing Mastery written by Cameron Blake and published by eBookIt.com. This book was released on 2024-07-09 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revolutionize Your Marketing Strategy with Cutting-Edge AI Techniques Are you ready to propel your marketing initiatives into the future? AI Marketing Mastery: Techniques for Success is your essential guide to navigating the increasingly complex world of artificial intelligence in marketing. This compelling book delves deep into the transformational power of AI, offering you practical insights and techniques to stay ahead of the competition. Attention: In an era where data reigns supreme, unlock the secrets to leveraging AI for unprecedented marketing success. Discover how to harness data-driven insights, master customer segmentation, and personalize customer experience like never before. Interest: Are you fascinated by the potential of automated marketing campaigns or intrigued by the sophistication of AI-driven content creation? This book takes you through a comprehensive journey, from understanding AI's impact on marketing evolution to exploring advanced personalization techniques and the nuances of predictive analytics. Desire: Gain exclusive access to strategies for optimizing SEO with AI, delve into the realm of AI-powered chatbots, and uncover the secrets behind programmatic advertising. Learn how sentiment analysis can elevate your customer engagement, and explore ethical considerations essential for responsibly implementing AI in your business practices. Action: With a wealth of case studies, practical tools, and innovative strategies, this book equips you to measure ROI effectively and overcome common challenges. Whether you're a small business owner or part of a large corporation, the insights provided will empower you to integrate AI seamlessly with traditional marketing strategies, building a skilled and forward-thinking team. Embrace the future today and transform your marketing efforts with the unparalleled expertise found in AI Marketing Mastery: Techniques for Success. Your journey towards AI-driven marketing excellence starts here.

Artificial Intelligence in Healthcare

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Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

A Human's Guide to Machine Intelligence

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Publisher : Penguin
ISBN 13 : 0525560904
Total Pages : 274 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis A Human's Guide to Machine Intelligence by : Kartik Hosanagar

Download or read book A Human's Guide to Machine Intelligence written by Kartik Hosanagar and published by Penguin. This book was released on 2020-03-10 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.

Artificial Intelligence

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Author :
Publisher : HBR Insights
ISBN 13 : 9781633697898
Total Pages : 160 pages
Book Rating : 4.6/5 (978 download)

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Book Synopsis Artificial Intelligence by : Harvard Business Review

Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

Encyclopedia of Data Science and Machine Learning

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Publisher : IGI Global
ISBN 13 : 1799892212
Total Pages : 3296 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John

Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Microsoft Azure Essentials Azure Machine Learning

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Author :
Publisher : Microsoft Press
ISBN 13 : 073569818X
Total Pages : 393 pages
Book Rating : 4.7/5 (356 download)

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Book Synopsis Microsoft Azure Essentials Azure Machine Learning by : Jeff Barnes

Download or read book Microsoft Azure Essentials Azure Machine Learning written by Jeff Barnes and published by Microsoft Press. This book was released on 2015-04-25 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.