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."

    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke

    Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.

    Each idiom comes with a detailed description, example code showing the "wrong" way to do it, and code for the idiomatic, "Pythonic" alternative. *This version of the book is for Python 2.7.3+. There is also a Python 3.3+ version available.* "Writing Idiomatic Python" contains the most common and important Python idioms in a format that maximizes identification and understanding. Each idiom is presented as a recommendation to write some commonly used piece of code. It is followed by an explanation of why the idiom is important. It also contains two code samples: the "Harmful" way to write it and the "Idiomatic" way. * The "Harmful" way helps you identify the idiom in your own code. * The "Idiomatic" way shows you how to easily translate that code into idiomatic Python. This book is perfect for you: * If you're coming to Python from another programming language * If you're learning Python as a first programming language * If you're looking to increase the readability, maintainability, and correctness of your Python code What is "Idiomatic" Python? Every programming language has its own idioms. Programming language idioms are nothing more than the generally accepted way of writing a certain piece of code. Consistently writing idiomatic code has a number of important benefits: * Others can read and understand your code easily * Others can maintain and enhance your code with minimal effort * Your code will contain fewer bugs * Your code will teach others to write correct code without any effort on your part

    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.

    Find answers to &nbsp&nbsp&nbsp&nbsp&nbsp* Why superpowers like India would not use nuclear weapons (and what WOULD they use) ?&nbsp&nbsp&nbsp&nbsp&nbsp* What are Psyber weapons (Psyber is not a spelling mistake. It's very different from Cyber) ?&nbsp&nbsp&nbsp&nbsp&nbsp* How can deep mistrust be created between a nation's government and its citizens ?&nbsp&nbsp&nbsp&nbsp&nbsp* How easily can we be manipulated by people with a sinister motive ?&nbsp&nbsp&nbsp&nbsp&nbsp* How social media can be used as a very powerful weapon against you ?&nbsp&nbsp&nbsp&nbsp&nbsp* How can humans be turned against humans by using elements of mass psychology ?&nbsp&nbsp&nbsp&nbsp&nbsp* How do we protect ourselves as a nation ?Who or what are psychological-cyber warriors ? Are they the difference between a victory and a defeat ? The stunning fiction thriller is an attempt to highlight the chilling possibilities and eventualities of war in the modern, super-connected and technology driven world.The dawn of a terrifying age of Psyber (Psychological-Cyber) warfare where our own devices and institutions could be turned against us. A serial entrepreneur, hacker and AI researcher, Girish, presents a remarkable new-age warfare strategy in the form of a thrilling science fiction novel. The science presented in this book is backed by hard facts that were uncovered during his long years of research. The weapons described in the book exist today. It is just a question of "When" and not "How" the war would be fought with these extremely dangerous weapons. Operation Maya is a BESTSELLER now on Amazon. Grab your copy now before the SPECIAL PROMO PRICE ends.Enjoy a super-thrilling ride by clicking the BUY NOW button at the top of this page! This book is part of a science fiction series showing the good and bad aspects of today's technology.The next book in this series is a heartwarming story about a little girl and the positive side of technology. You can see a sneak preview at https://www.amazon.in/dp/B081Z2ZGSY. Please don't forget to give your review on Amazon. Your thoughts matter to me a lot. Visit my page at facebook.com/girishauthor/ and follow it for sneak previews of the upcoming books. Let's enjoy the journey together :-)

    This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

    The commercial success of a game is often dependent upon the quality of the AI, yet the engineering of AI is often begun late in the development process and is frequently misunderstood. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. A game developer since 1987, he was founder of Mindlathe Ltd., at the time the largest specialist AI company in gaming. Ian shows how to think about AI as an integral part of game play. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's CD-ROM contains a library of C++ source code and demonstration programs, and provides access to a website with a complete commercial source code library of AI algorithms and techniques. * A comprehensive, professional tutorial and reference to implement true AI in games.* Walks through the entire development process from beginning to end.* Includes over 100 pseudo code examples of techniques used in commercial games, case studies for all major genres, a CD-ROM and companion website with extensive C++ source code implementations for Windows, and source code libraries for Linux and OS X available through the website.

    However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art?Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniquesTopics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory Suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book Supplies supplementary course material for students at the associated website, http: //szeliski.org/Book/ Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

    Technology, she writes, catalyzes changes not only in what we do but in how we think. First published in 1984, The Second Self is still essential reading as a primer in the psychology of computation. This twentieth anniversary edition allows us to reconsider two decades of computer culture--to (re)experience what was and is most novel in our new media culture and to view our own contemporary relationship with technology with fresh eyes. Turkle frames this classic work with a new introduction, a new epilogue, and extensive notes added to the original text.Turkle talks to children, college students, engineers, AI scientists, hackers, and personal computer owners--people confronting machines that seem to think and at the same time suggest a new way for us to think--about human thought, emotion, memory, and understanding. Her interviews reveal that we experience computers as being on the border between inanimate and animate, as both an extension of the self and part of the external world. Their special place betwixt and between traditional categories is part of what makes them compelling and evocative. (In the introduction to this edition, Turkle quotes a PDA user as saying, When my Palm crashed, it was like a death. I thought I had lost my mind.) Why we think of the workings of a machine in psychological terms--how this happens, and what it means for all of us--is the ever more timely subject of The Second Self.

    They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

    This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results.The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.-- "Journal of Economics"

    The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year postgraduate engineering levels.

    I was on my toes towards the final chapters." - Mrutyunjaya J"Puts you on the edge of your seat with mind blowing action sequences" - Ruchika M"Just thought to read a chapter. Honestly I didn't leave a single word until it was finished. In fact every chapter has a new suspense waiting to be unfolded." - Dipesh B"Finished reading it at 4 a.m." - Deepak A"Wow.. what a book. Thrilling from the beginning till the end." - Amazon Customer ___________________________________When the Aadhaar database containing the biometric and financial details of 1.2 Billion Indians is hacked in a ransomware attack, everyone is stunned by the audacity of the crime.Who could have done this? Why? And how?The cyber-terrorists soon send a message. They demand One Billion dollars to unlock the encrypted database. If the demands are not met, the database will be wiped out in seventy-two hours.With the ransom deadline ticking down, the Prime Minister sends a Covert Ops team to China to trace the culprits. But when the team reaches China, they find something shocking.From the rugged mountains of Iran to the teeming crowds of Istanbul to an underwater cat-and-mouse chase below the Straits of Malacca, Operation Dragon Strike is a gripping, breakneck adventure that will leave action thriller fans gasping for breath.Please scroll up and grab your copy now or continue reading below.Armaan slammed on the brakes. The jeep screeched to a stop in front the truck. Nitin leapt out on the move. Armaan flung the jeep door open and flipped off the safety switch of his Glock 17 handgun. The cold steel felt good in his palm. His trigger finger stroked familiar metal. He had been itching for revenge since the moment the terrorists had shot him. Nitin raced to the now stationary truck cockpit. He took in one glance and turned to Armaan."The driver's dead."Armaan swore. These terrorists were goners. He ignored the throbbing in his wounded shoulder and crouched behind the chassis of the truck. The terrorists would be going after the rest of the trucks. He had to stop them. The sound of the terrorists' van increased as it came alongside the truck.Now!Armaan rose out of his hiding place as the van came into view. He kept his hand outstretched and pointed his Glock square at the terrorist driving the van and squeezed the trigger twice. He watched the van driver jerk back as he got hit in the chest, and then slumped down the seat, dead.The van rolled past the truck and came to a stop twenty metres ahead. He had stopped the terrorists from attacking the convoy. But now he faced a serious threat.Armaan watched the masked terrorists barge out of the van, their machine guns glinting under the hot sun. He had just made his day worse. With the van stopping ahead of his position, the truck no longer offered him protection. He was completely exposed. There were six of them, all getting their AK-47s ready to pump him full of lead.Armaan was a split-second away from death...Please scroll up and grab your copy now.

    The winner of eight Academy Awards including Best Picture, Best Original Song, and Best Original Score, Slumdog Millionaire was the suprise hit of the 2009 season. The film tells the tale of a Mumbai teen who is accused of cheating after winning the Indian version of "Who Wants to Be a Millionaire?" This songbook matches the soundtrack and includes 9 songs: O, Saya * Mausam & Escape * Paper Planes * Ringa Ringa * Latika's Theme * Aaj Ki Raat * Millionaire * Dreams on Fire * Jai Ho.