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A Beginner's Guide

Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks—usually dull, repetitive ones. Starting from simple building blocks, computer algorithms enable machines to recognize and produce speech, translate texts, categorize and summarize documents, describe images, and predict the weather. A task that would take hours can be completed in virtually no time by using a few lines of code in a modern scripting program. This book offers an introduction to algorithms through the real-world problems they solve.

The study of industrial organization (IO)—the analysis of the way firms compete with one another—has become a key component of economics and of such related disciplines as finance, strategy, and marketing. This book provides an issue-driven introduction to industrial organization. Although formal in its approach, it is written in a way that requires only basic mathematical training. It includes a vast array of examples, from both within and outside the United States. This second edition has been thoroughly updated and revised.

A Semiotic Theory for Graphic Design

Graphic design has been an academic discipline since the post-World War II era, but it has yet to develop a coherent theoretical foundation. Instead, it proceeds through styles, genres, and imitation, drawing on sources that range from the Bauhaus to deconstructionism. In FireSigns, Steven Skaggs offers the foundation for a semiotic theory of graphic design, exploring semiotic concepts from design and studio art perspectives and offering useful conceptual tools for practicing designers.

The Growth of Grammar

How do children begin to use language? How does knowledge of language emerge in early infancy, and how does it grow? This textbook offers a comprehensive introduction to knowledge acquisition, drawing on empirical evidence and linguistic theory. The theoretical framework used is the generative theory of Universal Grammar; students should have some familiarity with concepts in linguistic research. Aimed at upper-level undergraduate and graduate students, the book offers end-of-chapter summaries, key words, study questions, and exercises.

An Introduction with Readings

Vaccination has long been a familiar, highly effective form of medicine and a triumph of public health. Because vaccination is both an individual medical intervention and a central component of public health efforts, it raises a distinct set of legal and ethical issues—from debates over their risks and benefits to the use of government vaccination requirements—and makes vaccine policymaking uniquely challenging. This volume examines the full range of ethical and policy issues related to the development and use of vaccines in the United States and around the world.

This book introduces students to the growing research field of health economics. Rather than offer details about health systems without providing a theoretical context, Health Economics combines economic concepts with empirical evidence to enhance readers’ economic understanding of how health care institutions and markets function.

An Introduction to Inductive Logic

This textbook offers a thorough and practical introduction to inductive logic. The book covers a range of different types of inferences with an emphasis throughout on representing them as arguments. This allows the reader to see that, although the rules and guidelines for making each type of inference differ, the purpose is always to generate a probable conclusion.

A Cyber-Physical Systems Approach

The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city.

This book offers an accessible guide to the financial aspects of launching and operating a high-tech business in such areas as engineering, computing, and science. It explains a range of subjects—from risk analysis to stock incentive programs for founders and key employees—for students and aspiring entrepreneurs who have no prior training in finance or accounting.

“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”
—Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX

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