Stephen Boyd received his PhD from the University of California, Berkeley. Since 1985 he has been a member of the Electrical Engineering Department at Stanford University, where he is now Professor and Director of the Information Systems Laboratory. He has won numerous awards for teaching and research, and is a Fellow of the IEEE. He was one of the co-founders of Barcelona Design, and is the co-author of two previous books Linear Controller Design: Limits of Performance and Linear Matrix Inequalities in System and Control Theory.
Lieven Vandenberghe received his PhD from the Katholieke Universiteit, Leuven, Belgium, and is a Professor of Electrical Engineering at the University of California, Los Angeles. He has published widely in the field of optimization and is the recipient of a National Science Foundation CAREER award.
"The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com
Award-winning | Used by over 30 universities | Translated into 9 languages
An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques.
Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die.
Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections.
How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.
Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.
In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction:
How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more.
A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.
Addresses Emerging Wildlife Threats in One Concise Volume
A decade ago, many of these threats existed but were either unrecognized or considered minor issues, and all have now snowballed into major challenges for the conservation of wildlife populations. This is the first book to address these dangers in a single volume and recommend proven mitigation techniques to protect and sustain Earth’s wildlife populations.
Examines Species Range Shifts, Ocean Acidification, Coral Bleaching, & Impacts of Heightened UV Influx
This comprehensive reference identifies and documents examples of chemical stressor exposures and responses among ecosystem receptors worldwide. Chapters discuss emerging diseases and the expansion of pesticide/contaminant use, as well as agricultural trends and biofuels, and the widespread use of munitions and explosives from military and industrial-related activities. With the aid of several solid case studies, the book also addresses atmospheric contaminants and climate change, population modeling, and emerging transnational issues in ecotoxicology.
Wildlife Toxicology: Emerging Contaminant and Biodiversity Issues stimulates dialogue among the academic and research communities and environmental public policy decision makers. The book challenges these groups to think more globally about environmental contaminants and their potential impacts on biodiversity and environmental degradation.
Check out Ronald J. Kendall's Advances in Biological and Chemical Terrorism Countermeasures.
Professor Kendall has been quoted recently in several news outlets in connection with the Gulf Oil Spill. Check out these articles on the CRC Press Ning page.