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Sailing the Water's Edge
How U.S. domestic politics shapes the nation's foreign policy When engaging with other countries, the U.S. government has a number of different policy instruments at its disposal, including foreign aid, international trade, and the use of military force. But what determines which policies are chosen? Does the United States rely too much on the use of military power and coercion in its foreign policies? Sailing the Water's Edge focuses on how domestic U.S. politics—in particular the interactions between the president, Congress, interest groups, bureaucratic institutions, and the public—have influenced foreign policy choices since World War II and shows why presidents have more control ove...
TinyML
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size
Global Shell Games
Every year a staggering number of corporate service providers mask perpetrators of terrorist financing, corruption and illegal arms trades, but the degree to which firms flout global identification standards remains unknown. This book sheds new light on the sordid world of anonymous shell corporations through a series of field experiments.
Data Science in Education Using R
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
Thinking Clearly with Data
An engaging introduction to data science that emphasizes critical thinking over statistical techniques An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects...
Upending American Politics
The election of Barack Obama in 2008 was startling, as was the victory of Donald Trump eight years later. Because both presidents were unusual and gained office backed by Congresses controlled by their own parties, their elections kick-started massive counter-movements. The Tea Party starting in 2009 and the "resistance" after November 2016 transformed America's political landscape. Upending American Politics offers a fresh perspective on recent upheavals, tracking the emergence and spread of local voluntary citizens' groups, the ongoing activities of elite advocacy organizations and consortia of wealthy donors, and the impact of popular and elite efforts on the two major political parties a...
Text as Data
A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using ...
Carbon Captured
A comparative examination of domestic climate politics that offers a theory for cross-national differences in domestic climate policymaking. Climate change threatens the planet, and yet policy responses have varied widely across nations. Some countries have undertaken ambitious programs to stave off climate disaster, others have done little, and still others have passed policies that were later rolled back. In this book, Matto Mildenberger opens the “black box” of domestic climate politics, examining policy making trajectories in several countries and offering a theoretical explanation for national differences in the climate policy process. Mildenberger introduces the concept of double r...
Measuring Identity
Abdelal, Herrera, Johnston, and McDermott have brought together leading scholars from a variety of disciplines to consider the conceptual and methodological challenges associated with treating identity as a variable, offer a synthetic theoretical framework, and demonstrate the possibilities offered by various methods of measurement.
