Now, Matt returns with a major update that covers layers in Photoshop CS5 in the same concise, easy to understand way that's made him so well known in the field of Photoshop training.When asked about the original version of this book, Matt said, "I wanted it to be the Photoshop book that I wish was around when I was first learning." This update improves upon that concept. Within these pages, you'll learn about: Working with and managing multiple layers in Photoshop CS5 Building multiple-layer images Blending layers together Layer masking and just how easy it is Which of the 25+ layer blend modes you really need to know (there are just a few) Using layers to enhance and retouch your photos All of the tips and tricks that make using layers a breeze Plus, a new chapter on advanced layer techniques and compositing to help take your work to the next level If you want to fully understand layers in Photoshop CS5, this book is the one you've been waiting for!

    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

    

    and abroad, this reader-friendly yet authoritative volume bridges the gap between circuits and new electromagnetics material. Ulaby begins coverage with transmission lines, leading readers from familiar concepts into more advanced topics and applications. Includes six new sections on Waveguides and Cavity Resonators, replacing the material on geometric optics in Chapter 8. Presents new Technology Briefs on relevant topics, connecting concepts in the book to everyday applications found in real life, such as liquid crystal displays, the laser, GPS, and x-ray tomography. Includes an interactive CD-ROM that allows readers to gain physical intuition about electromagnetics. A useful reference for engineers.

    Aimed at accountants or readers of other career paths, this book helps them build their decision making skills and understand how to use accounting information to make quality business decisions.

    In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

    Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.

    Unfortunately, much of the advice that is dispensed is either unsubstantiated or betrays a strong vested interest. In The Essential Retirement Guide, Frederick Vettese analyses the most fundamental questions of retirement planning and offers some startling insights. The book finds, for example that:Saving 10 percent a year is not a bad rule of thumb if you could follow it, but there will be times when you cannot do so and it might not even be advisable to try. Most people never spend more than 50 percent of their gross income on themselves before retirement; hence their retirement income target is usually much less than 70 percent. Interest rates will almost certainly stay low for the next 20 years, which will affect how much you need to save. Even in this low-interest environment, you can withdraw 5 percent or more of your retirement savings each year in retirement without running out of money. Your spending in retirement will almost certainly decline at a certain age so you may not need to save quite as much as you think. As people reach the later stages of retirement, they become less capable of managing their finances, even though they grow more confident of their ability to do so! Plan for this before it is too late. Annuities have become very expensive, but they still make sense for a host of reasons. In addition, The Essential Retirement Guide shows how you can estimate your own lifespan and helps you to understand the financial implications of long-term care. Most importantly, it reveals how you can calculate your personal wealth target - the amount of money you will need by the time you retire to live comfortably. The author uses his actuarial expertise to substantiate his findings but does so in a jargon-free way.

    Peter Bernstein has written a comprehensive history of man's efforts to understand risk and probability, beginning with early gamblers in ancient Greece, continuing through the 17th-century French mathematicians Pascal and Fermat and up to modern chaos theory. Along the way he demonstrates that understanding risk underlies everything from game theory to bridge-building to winemaking.

    Companies that think winning their business is a simple matter of creating a Twitter account and applying outdated notions of "cool" to their advertising are due for a rude awakening. "Marketing to Millennials "is both an enlightening look at this generation of consumers and a practical plan for earning their trust and loyalty. Based on original market research, the book reveals the eight attitudes shared by most Millennials, as well as the new rules for engaging them successfully. Millennials: - Value social networking and aren't shy about sharing opinions - Refuse to remain passive consumers--they expect to participate in product development and marketing - Demand authenticity and transparency - Are highly influential--swaying parents "and" peers - Are not all alike--understanding key segments is invaluable Featuring expert interviews and profiles of brands doing Millennial marketing right, this eye-opening book is the key to persuading the customers who will determine the bottom line for decades to come.

    We have learned little from the cataclysms of September 11 and Hurricane Katrina. When it comes to catastrophe, America is living on borrowed time-and squandering it. In this new book, leading security expert Stephen Flynn issues a call to action, demanding that we wake up and prepare immediately for a safer future. The truth is acts of terror cannot always be prevented, and nature continues to show its fury in frighteningly unpredictable ways. Resiliency, argues Flynn, must now become our national motto. With chilling frankness and clarity, Flynn paints an all too real scenario of the threats we face within our own borders. A terrorist attack on a tanker carrying liquefied natural gas into Boston Harbor could kill thousands and leave millions more of New Englanders without power or heat. The destruction of a ship with a cargo of oil in Long Beach, California, could bring the West Coast economy to its knees and endanger the surrounding population. But even these all-too-plausible terrorist scenarios pale in comparison to the potential destruction wrought by a major earthquake or hurricane. Our growing exposure to man-made and natural perils is largely rooted in our own negligence, as we take for granted the infrastructure handed down to us by earlier generations. Once the envy of the world, this infrastructure is now crumbling. After decades of neglect, our public health system leaves us at the mercy of microbes that could kill millions in the next flu pandemic. Flash flooding could wipe out a fifty-year-old dam north of Phoenix, placing thousands of homes and lives at risk. The next San Francisco earthquake could destroy century-old levees, contaminating the freshwater supply that most of California relies on for survival. It doesn't have to be this way. "The Edge of Disaster "tells us what we can do about it, as individuals and as a society. We can-and, Flynn argues, we must-construct a more resilient nation. With the wounds of recent national tragedies still unhealed, the time to act is now. Flynn argues that by tackling head-on, eyes open the perils that lie before us, we can remain true to our most important and endearing national trait: our sense of optimism about the future and our conviction that we can change it for the better for ourselves-and our children. "Steve Flynn offers the answer not only to protecting America from terrorist attacks and natural disaster but also to revitalizing our democracy. This book is a must-read for all members of Congress, 2008 presidential candidates, and ordinary citizens who want to build a better and safer future."-Anne-Marie Slaughter, dean, Woodrow Wilson School of Public and International Affairs, Princeton University Advance praise for "The Edge of Disaster" "Steve Flynn has done it again. Like America the Vulnerable before it, "The Edge of Disaster" is the must-read book for every American, elected official, and presidential candidate who is committed to ensuring that our nation continue to thrive in perilous times."-Mark Warner, former governor of Virginia "Since 9/11, protecting our nation against a terrorist attack has consumed policy makers in Washington. What Stephen Flynn points out in The Edge of Disaster is that much of this effort has been directed overseas, often at the expense of our homeland and its much more likely areas of vulnerability. Laying out a series of potential disasters both manmade and natural, Flynn calls for a greater emphasis on preparedness and the ability of communities and the nation to recover. Painting an often frustrating and infuriating picture of missed opportunities, "The Edge of Disaster "is a call to action. The time to act is now. We can only hope that policy makers are listening." -Christine Todd Whitman, former governor of New Jersey and former administrator, Environmental Protection Agency (2001-03) "Steve Flynn's book makes the very persuasive argument that national security preparedness is linked to natural disaster preparedness. By investing significantly in our critical infrastructure, in citizen preparedness, and most importantly in leadership, we can be better prepared for all hazards. A great book that I highly recommend." -James Lee Witt, former director, Federal Emergency Management Agency "Steve Flynn has become a relentless contributor to the dialogue on prioritizing the work of the post-9/11 security environment. "The Edge of Disaster" calls into question the neglect of domestic preparedness in favor of the Department of Defense-driven offensive in the global war on terrorism. The book offers provocative challenges to both our elected and our private-sector leaders, and both should read it thoroughly." -Admiral James M. Loy, former commandant, U.S. Coast Guard, and former deputy secretary of homeland security

    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

    A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

    In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect.Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor.In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile.The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values.This deeply researched and passionate book could not be more timely.Naomi Klein: "This book is downright scary."Ethan Zuckerman, MIT: "Should be required reading."Dorothy Roberts, author of Killing the Black Body: "A must-read for everyone concerned about modern tools of inequality in America."Astra Taylor, author of The People's Platform: "This is the single most important book about technology you will read this year."

    These areas of knowledge have converged into a modern theory of epidemiology that has been slow to penetrate into textbooks, particularly at the introductory level. Epidemiology: An Introduction closes the gap. It begins with a brief, lucid discussion of causal thinking and causal inference and then takes the reader through the elements of epidemiology, focusing on the measures of disease occurrence and causal effects. With these building blocks in place, the reader learns how to design, analyze and interpret problems that epidemiologists face, including confounding, the role of chance, and the exploration of interactions. All these topics are layered on the foundation of basic principles presented in simple language, with numerous examples and questions for further thought.