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Summary: "In this post-truth era, The Game of Votes explores and unravels the antics used in the elections today, including the high drama campaigns, political marketing, fake news and celebrity influencers, laying bare before the reader the secret world wide web of elections, media and politics. These are exciting times in Indian politics. How are some parties losing ground while others soar high? How much money are parties really spending on campaigning and what is their ROI? How did Modi's team pull off a stellar win in 2014 and an even bigger win in 2019? Was it just social media and technology, speaking the language of an urban demographic or was there another secret sauce at work? The book decodes these by tracking the evolution of political media campaigns in India and provides glimpses of international politics, drawing comparisons between the Western world with the fast-changing developments in India. For the political pundit, media guru, the young emerging leader or the discerning reader, this is the inside story behind the game of votes"-- Provided by publisher.

Summary: The Law of Artificial Intelligence is an essential practitioner's reference text examining how key areas of current civil and criminal law will apply to AI and examining emerging laws specific to the use of AI. It explains the fundamentals of AI technology, its development and terminology. The book also covers regulation, ethics and the use of AI within legal services and the administration of justice.

Summary: "From the ninth through the thirteenth century, the Chola dynasty of southern India produced thousands of statues of Hindu deities, whose physical perfection was meant to reflect spiritual beauty and divine transcendence. During festivals, these bronze sculptures--including Shiva, referred to in a saintly vision as "the thief who stole my heart"--were adorned with jewels and flowers and paraded through towns as active participants in Chola worship. In this richly illustrated book, leading art historian Vidya Dehejia introduces the bronzes within the full context of Chola history, culture, and religion. In doing so, she brings the bronzes and Chola society to life before our very eyes. Dehejia presents the bronzes as material objects that interacted in meaningful ways with the people and practices of their era. Describing the role of the statues in everyday activities, she reveals not only the importance of the bronzes for the empire, but also little-known facets of Chola life. She considers the source of the copper and jewels used for the deities, proposing that the need for such resources may have influenced the Chola empire's political engagement with Sri Lanka. She also investigates the role of women patrons in bronze commissions and discusses the vast public records, many appearing here in translation for the first time, inscribed on temple walls. From the Cholas' religious customs to their agriculture, politics, and even food, The Thief Who Stole My Heart offers an expansive and complete immersion in a community still accessible to us through its exquisite sacred art"--Publisher's description.

Summary: "The bestselling author of Give and Take and Originals examines the critical art of rethinking: learning to question your beliefs and to know what you don't know, which can position you for success at work and happiness at home. The difficulty of rethinking our assumptions is surprisingly common--maybe even fundamentally human. Our ways of thinking become habits that we don't bother to question, and mental laziness leads us to prefer the ease of old routines to the difficulty of new ones. We fail to update the beliefs we formed in the past for the challenges we face in the present. But in a rapidly changing world, we need to spend as much time rethinking as we do thinking. Think Again is a book about the benefit of doubt, and about how we can get better at embracing the unknown and the joy of being wrong. Evidence has shown that creative geniuses are not attached to one identity but constantly willing to rethink their stances, that leaders who admit they don't know something and seek critical feedback lead more productive and innovative teams, and that our greatest presidents have been open to updating their views. The new science of intellectual humility shows that as a mindset and a skillset, rethinking can be taught, and Grant explains how to develop the necessary qualities. The first section of the book explores why we struggle to think again and how we can improve individually, and argues that such engines of success as "grit" can actually be counterproductive; the second section discusses how we can help others think again through the skill of "argument literacy"; and the third looks at how institutions like schools, business, and governments fall short in building cultures that encourage rethinking. In the end, it's intellectual humility that makes it possible for us to stop denying our weaknesses so that we can start improving ourselves"-- Provided by publisher.

Summary: "Thoroughly revised and updated, the fourth edition of Writing for Journalists focuses on the craft of journalistic writing, offering invaluable insight on how to hook readers and keep them to the end of your article. The book offers a systematic approach to news and feature writing that starts with the basics and builds to more complex and longer pieces. The authors give the reader the tools they need to deliver engaging and authoritative writing that works across print and digital. Drawing on professional insight from writers across the industry, the book guides readers through the essential elements needed to write powerful and effective news stories, from hard news pieces to features on business, science, travel, and entertainment reviews. New to this edition are hands-on writing exercises accompanying each chapter to help reinforce key points; chapters on how to build a professional profile, pitch stories and get commissioned; and a section on online writing, SEO, analytics and writing for social media. This is an essential guide for all journalism students and early-career journalists. It also has much to offer established journalists looking to develop their writing and lead editorial teams"-- Provided by publisher.

Summary: "The publication of this book has been made possible by generous support received from BNP Paribas."

Summary: This practical book offers best practices to be followed for CMMi implementation. It allows the reader to discover and avoid the mistakes that are commonly made while implementing the CMMi practices in their work areas. You'll experience how easy, yet concise the CMMi practice description is and how quickly and efficiently it can be implemented to your work processes. CMMi is the most popular software process improvement model developed by the US department of Defence Software Engineering Institute (Carnegie Mellon University). This model is extensively used by software professionals and organizations worldwide. CMMI for Development v1.3 : Implementation Guide is your step by step guide that aims to change the way people interpret and implement CMMi in their organizations.

Summary: "An accessible overview of the threats and opportunities inherent in automated decision making in academia, government, and industry"-- Provided by publisher.

Summary: This contributed volume discusses diverse topics to demystify the rapidly emerging and evolving blockchain technology, the emergence of integrated platforms and hosted third-party tools, and the development of decentralized applications for various business domains. It presents various applications that are helpful for research scholars and scientists who are working toward identifying and pinpointing the potential of as well as the hindrances to this technology.

Summary: In this book Part I presents first an overview of the ECHORD++ project, with its mission and vision together with a detailed structure of its functionalities and instruments: Experiments, Robotic Innovation Facilities and Public end-user Driven Technology Innovation PDTI. Chapter 1 explains how the project is born, the partners, the different instruments and the new concept of cascade funding projects. This novelty made ECHORD++ a special project along the huge number of research groups and consortia involved in the whole project. So far, it is the European funded project with more research team and partners involved in the robotic field. In Chapter 2, one of the instruments in ECHORD++ is explained in detail: RIF. Robotic innovation facilities are a set of laboratories across Europe funded with the project with the goal of hosting consortia involved in any experiment that have special needs when testing their robotic research. In the chapter the three different and specific RIFs will be described and analyzed. Chapter 3 explains an important instrument in ECHORD++: the Experiments. In this part, a big number of research groups have been involve in short time funded research projects. The chapter explains the management of such Experiments, from the call for participation, the candidates selection, the monitoring, reviews and funding for each of the 36 experiments funded for Echord. Chapter 4 is very special because it presents the innovation of funding public end-user driven technology, in particular, robotic technology. The robotic challenge is the key of such an instruments together with the management of the different consortia that participated competitively in the success of the robotic challenge proposed by a public entity, selected also with a very special and innovative process.

Summary: All Indian Reprints of O'Reilly are printed in Grayscale. If you’re looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.

Summary: As venture capital and industrial resources are increasingly poured into rapid advances in artificial intelligence, the actual usage and success of AI depends on a satisfactory experience for the user. UX will play a significant role in the adoption of AI technologies across markets, and AI and UX explores just what these demands will entail. Great effort has been put forth to continuously make AI "smarter." But, will smarter always equal more successful AI? It is not just about getting a product to market, but about getting the product into a user's hands in a form that will be embraced. This demands examining the product from the perspective of the user. Authors Gavin Lew and Robert Schumacher have written AI and UX to examine just how product managers and designers can best strike this balance. From exploring the history of the parallel journeys of AI and UX, to investigating past product examples and failures, to practical expert knowledge on how to best execute a positive user experience, AI and UX examines all angles of how AI can best be developed within a UX framework. The new world of AI necessitates an equally new UX lens through which to see all potential products. While massive inroads have created strides in AI technology, it must be accessible and easy to use for the consumer. Innovators in the field need to shift thinking from "it works" to "it works well," which makes all the difference in increasing adoption. Let your users enhance your data, and let the UX of your product do the selling for you. AI and UX is your roadmap for the future.

Summary: "The first book to analyze the consequences of the political economy of artificial intelligence for global sustainability"-- Provided by publisher.

Summary: "This book explores advancements in artificial intelligence with a focus on its application engineering"-- Provided by publisher.

Summary: Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other industries. Accompanied by practical step-by-step Python code samples and Jupyter notebooks, this comprehensive guide acts as a reference for a data scientist, machine learning practitioner or anyone interested in AI applications. These ML models and methods can be used to create solutions for AI enhanced coaching, judging, athletic performance improvement, movement analysis, simulations, in motion capture, gaming, cinema production and more. Packed with fun, practical applications for sports, machine learning models used in the book include supervised, unsupervised and cutting-edge reinforcement learning methods and models with popular tools like PyTorch, Tensorflow, Keras, OpenAI Gym and OpenCV. Author Kevin Ashley--who happens to be both a machine learning expert and a professional ski instructor--has written an insightful book that takes you on a journey of modern sport science and AI. Filled with thorough, engaging illustrations and dozens of real-life examples, this book is your next step to understanding the implementation of AI within the sports world and beyond. Whether you are a data scientist, a coach, an athlete, or simply a personal fitness enthusiast excited about connecting your findings with AI methods, the authors practical expertise in both tech and sports is an undeniable asset for your learning process. Todays data scientists are the future of athletics, and Applied Machine Learning for Health and Fitness hands you the knowledge you need to stay relevant in this rapidly growing space. You will: Use multiple data science tools and frameworks Apply deep computer vision and other machine learning methods for classification, semantic segmentation, and action recognition Build and train neural networks, reinforcement learning models and more Analyze multiple sporting activities with deep learning Use datasets available today for model training Use machine learning in the cloud to train and deploy models Apply best practices in machine learning and data science.

Summary: This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Summary: Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions. What You'll Learn: Implement reinforcement learning with Python Work with AI frameworks such as OpenAI Gym, Tensorflow, and Keras Deploy and train reinforcement learning–based solutions via cloud resources Apply practical applications of reinforcement learning.

Summary: "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"-- Provided by publisher.