In 1980s India, the Ramsay Brothers and other filmmakers produced a wave of horror movies about soul-sucking witches, knife-wielding psychopaths, and dark-caped vampires. Seeing Things is about the sudden cuts, botched prosthetic effects, continuity errors, and celluloid damage in these movies. Such moments may very well be "failures" of various kinds, but in this book Kartik Nair reads them as clues to the conditions in which the films were once made, censored, and seen, offering a view from below of the world's largest film culture. Combining extensive archival research and original interviews with close readings of landmark films including Purana Mandir, Veerana, and Jaani Dushman, this book tracks the material coordinates of horror cinema's spectral images. In the process, Seeing Things discovers a spectral materiality-one that informs Bombay horror's haunted houses, grotesque bodies, and graphic violence and gives visceral force to our experience of the genre's globally familiar conventions"--
In 1980s India, the Ramsay Brothers and other filmmakers produced a wave of horror movies about soul-sucking witches, knife-wielding psychopaths, and dark-caped vampires. Seeing Things is about the sudden cuts, botched prosthetic effects, continuity errors, and celluloid damage in these movies. Such moments may very well be "failures" of various kinds, but in this book Kartik Nair reads them as clues to the conditions in which the films were once made, censored, and seen, offering a view from below of the world's largest film culture. Combining extensive archival research and original interviews with close readings of landmark films including Purana Mandir, Veerana, and Jaani Dushman, this book tracks the material coordinates of horror cinema's spectral images. In the process, Seeing Things discovers a spectral materiality-one that informs Bombay horror's haunted houses, grotesque bodies, and graphic violence and gives visceral force to our experience of the genre's globally familiar conventions"--
Learn to process massive real-time data streams using Storm and Python—no Java required! About This Book Learn to use Apache Storm and the Python Petrel library to build distributed applications that process large streams of data Explore sample applications in real-time and analyze them in the popular NoSQL databases MongoDB and Redis Discover how to apply software development best practices to improve performance, productivity, and quality in your Storm projects Who This Book Is For This book is intended for Python developers who want to benefit from Storm's real-time data processing capabilities. If you are new to Python, you'll benefit from the attention to key supporting tools and techniques such as automated testing, virtual environments, and logging. If you're an experienced Python developer, you'll appreciate the thorough and detailed examples What You Will Learn Install Storm and learn about the prerequisites Get to know the components of a Storm topology and how to control the flow of data between them Ingest Twitter data directly into Storm Use Storm with MongoDB and Redis Build topologies and run them in Storm Use an interactive graphical debugger to debug your topology as it's running in Storm Test your topology components outside of Storm Configure your topology using YAML In Detail Big data is a trending concept that everyone wants to learn about. With its ability to process all kinds of data in real time, Storm is an important addition to your big data “bag of tricks.” At the same time, Python is one of the fastest-growing programming languages today. It has become a top choice for both data science and everyday application development. Together, Storm and Python enable you to build and deploy real-time big data applications quickly and easily. You will begin with some basic command tutorials to set up storm and learn about its configurations in detail. You will then go through the requirement scenarios to create a Storm cluster. Next, you'll be provided with an overview of Petrel, followed by an example of Twitter topology and persistence using Redis and MongoDB. Finally, you will build a production-quality Storm topology using development best practices. Style and approach This book takes an easy-to-follow and a practical approach to help you understand all the concepts related to Storm and Python.
India is emerging as one of the economic giants of the world, and is gaining international influence and global leadership as the world's largest democracy. India's performance will have far-reaching consequences on whether the economic awakening of the country, which began more than two decades ago, can become a good model to be emulated by other developing economies.This book is a collection of policy papers and data-sets for the 35 states and federal territories of India. With a comprehensive approach to competitiveness, the research done by Asia Competitiveness Institute (ACI) at the Lee Kuan Yew School of Public Policy, National University of Singapore takes into account different factors that collectively shape the ability of a nation to achieve substantial and inclusive economic development over a sustained period of time.ACI's methodology goes beyond rankings to conduct policy simulations on how each state or federal territory can improve its competitiveness. These policy simulations are a compelling value-added proposition enabling policymakers, industry leaders and administrators to identify relative challenges and opportunities, and to prioritise areas when crafting policies and development strategies.
This book by the Asia Competitiveness Institute (ACI) presents the inaugural regional competitiveness analysis for the five regions of India as a basis for the Master Plan on Strategic Regional Economic Development using regional classifications as defined by the Confederation of Indian Industry. Potential strategic clusters are identified for intra-regional collaboration given each region's unique strengths and resource endowments to facilitate accelerated economic growth and development which is balanced, fair and sustainable. The book also presents an update of ACI's annual competitiveness analysis of India's 35 states and federal territories. States and federal territories are ranked by ACI's comprehensive methodology by employing 75 indicators across four environments. Going beyond the rankings, the what-if policy simulations offer states and federal territories relevant policy prescriptions based on their respective strengths and weaknesses. A subset of the competitiveness indicators are then utilised for Geweke Causality Analysis to highlight the impact of strong leadership on economic development in the states of Bihar and Tamil Nadu.
A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.