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Patterns, Predictions, and Actions
An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they ...
Optimization for Data Analysis
A concise text that presents and analyzes the fundamental techniques and methods in optimization that are useful in data science.
Mathematical Methods in Systems, Optimization, and Control
This volume is dedicated to Bill Helton on the occasion of his sixty fifth birthday. It contains biographical material, a list of Bill's publications, a detailed survey of Bill's contributions to operator theory, optimization and control and 19 technical articles. Most of the technical articles are expository and should serve as useful introductions to many of the areas which Bill's highly original contributions have helped to shape over the last forty odd years. These include interpolation, Szegö limit theorems, Nehari problems, trace formulas, systems and control theory, convexity, matrix completion problems, linear matrix inequalities and optimization. The book should be useful to graduate students in mathematics and engineering, as well as to faculty and individuals seeking entry level introductions and references to the indicated topics. It can also serve as a supplementary text to numerous courses in pure and applied mathematics and engineering, as well as a source book for seminars.
Convex Optimization & Euclidean Distance Geometry
The study of Euclidean distance matrices (EDMs) fundamentally asks what can be known geometrically given onlydistance information between points in Euclidean space. Each point may represent simply locationor, abstractly, any entity expressible as a vector in finite-dimensional Euclidean space.The answer to the question posed is that very much can be known about the points;the mathematics of this combined study of geometry and optimization is rich and deep.Throughout we cite beacons of historical accomplishment.The application of EDMs has already proven invaluable in discerning biological molecular conformation.The emerging practice of localization in wireless sensor networks, the global posi...
Chorale Motets
None
Human Activity and Behavior Analysis
Human Activity and Behavior Analysis relates to the field of vision and sensor-based human action or activity and behavior analysis and recognition. The book includes a series of methodologies, surveys, relevant datasets, challenging applications, ideas, and future prospects. The book discusses topics such as action recognition, action understanding, gait analysis, gesture recognition, behavior analysis, emotion and affective computing, and related areas. This volume focuses on relevant activities in three main subject areas: Healthcare and Emotion, Mental Health, and Nurse Care Records. The editors are experts in these arenas and the contributing authors are drawn from high-impact research groups around the world. This book will be of great interest to academics, students, and professionals working and researching in the field of human activity and behavior analysis.
Matrix Completions, Moments, and Sums of Hermitian Squares
Intensive research in matrix completions, moments, and sums of Hermitian squares has yielded a multitude of results in recent decades. This book provides a comprehensive account of this quickly developing area of mathematics and applications and gives complete proofs of many recently solved problems. With MATLAB codes and more than 200 exercises, the book is ideal for a special topics course for graduate or advanced undergraduate students in mathematics or engineering, and will also be a valuable resource for researchers. Often driven by questions from signal processing, control theory, and quantum information, the subject of this book has inspired mathematicians from many subdisciplines, in...
AI Snake Oil
"A trade book that argues that predictive AI is snake oil: it cannot and will never work. Artificial Intelligence is an umbrella term for a set of loosely related technologies. For instance, ChatGPT has little in common with algorithms that banks use to evaluate loan applicants. Both of these are referred to as AI, but in all of the salient ways - how they work, what they're used for and by whom, and how they fail - they couldn't be more different. Understanding the fundamental differences between AI technologies is critical for a technologically literate public to evaluate how AI is being used all around us. In this book, Arvind Narayanan and Sayash Kapoor explain the major strains of AI in...
Marketing 2.0: The Age of Artificial Intelligence for Marketing
In the dynamic landscape of marketing, Artificial Intelligence (AI) emerges as a game-changer. This book explores the intersection of neuroscience, technology, and consumer behaviour. It emphasizes the mobile revolution, where hyper-personalization becomes paramount. SMS, often overlooked, emerges as a strategic tool for engaging consumers. AI’s role in marketing transformation is dissected, highlighting its ability to optimize data utilization and enhance customer experiences. By diversifying channels and prioritizing owned platforms, brands can navigate this AI-powered age while respecting privacy.
Strategizing AI in Business and Education
This Element proposes a clear and up-to-date description of the state of artificial intelligence today, not only in terms of business processes and strategies, but also its societal reception. It presents our view of the technology landscape, avoiding both the forward-looking, rose-colored utopia and the hyper-apocalyptic gloom. It does so in a concise form, addressing a complex issue in 9 concise and easy-to-read chapters. It aims to discuss the current state of machine learning and AI in strategic management, and to describe the emerging technologies. It conceptualizes their adoption, and then consider the effects of AI technologies' maturity in business organizations.
