Personalized Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Personalized Machine Learning write by Julian McAuley. This book was released on 2022-02-03. Personalized Machine Learning available in PDF, EPUB and Kindle. 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.
Personalized Machine Learning
Personalized Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Personalized Machine Learning write by Julian McAuley. This book was released on 2022-02-03. Personalized Machine Learning available in PDF, EPUB and Kindle. Explains methods behind machine learning systems to personalize predictions to individual users, from recommendation to dating and fashion.
Teaching Machines
Teaching Machines - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Teaching Machines write by Audrey Watters. This book was released on 2023-02-07. Teaching Machines available in PDF, EPUB and Kindle. 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.
Personalization Techniques and Recommender Systems
Personalization Techniques and Recommender Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Personalization Techniques and Recommender Systems write by Gulden Uchyigit. This book was released on 2008. Personalization Techniques and Recommender Systems available in PDF, EPUB and Kindle. The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed.The book is the first of its kind, representing research efforts in the diversity of personalization and recommendation techniques. These include user modeling, content, collaborative, hybrid and knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing and sales and web services, to library and personalized TV recommendation systems.This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems.
One-To-One Personalization in the Age of Machine Learning
One-To-One Personalization in the Age of Machine Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook One-To-One Personalization in the Age of Machine Learning write by Karl Wirth. This book was released on 2020-01-07. One-To-One Personalization in the Age of Machine Learning available in PDF, EPUB and Kindle. 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.
