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" Do millions of blurry notions about the ever-mystic subject of astrology intrigue you? Do you want to steer clear of all ambiguity that surrounds the mysterious phenomenon of life and death? Welcome to Life Version 2, a book that will surely unravel some of life’s biggest and the most intriguing questions. God gives us endless opportunities to script our Life Version 2! Go, grab one…… Abhijeet, 60, is a successful entrepreneur who leads a contented life. Cricket, music and astrology are his deep obsessions. His life is running smooth until an appalling prediction is made that he is going to die within the next six months! This turns his life upside down. He prepares to die and exhibi...
Delhi OMG! is the story of one man’s struggle for survival in the colorful, yet tough Indian city of Delhi. Summary Of The Book Delhi OMG! is the story of a man named Dinesh. It is set in the big, bad city of Delhi, traversing some of the key places in the city and exposing its shocking underbelly. Dinesh is a middle class man who goes from living in government flats in Netaji Nagar to a posh, luxurious DLF residence. As Dinesh goes about his life in Delhi, he encounters various characters from all walks of life. His journey also takes him to several hot-spots of the city, acquainting him with a different side of Delhi, a shocking side often hidden under the cloak of superficiality. At onc...
The eight-volume set LNCS 13375 – 13382 constitutes the proceedings of the 22nd International Conference on Computational Science and Its Applications, ICCSA 2022, which was held in Malaga, Spain during July 4 – 7, 2022. The first two volumes contain the proceedings from ICCSA 2022, which are the 57 full and 24 short papers presented in these books were carefully reviewed and selected from 279 submissions. The other six volumes present the workshop proceedings, containing 285 papers out of 815 submissions. These six volumes includes the proceedings of the following workshops: Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and...
The book, the third volume to emerge from the enterprise known as 'The Backwaters Collective on Metaphysics and Politics', attempts to further the collective's ambition to put into question the certitudes of conventional social science discourse, decolonize the dominant knowledge frameworks, and understand how the intellectual and cultural resources of Indian civilization may be deployed to think both, about some problems in contemporary politics and culture, and to introduce greater plurality into the world of modern knowledge systems. Some of the collective's members remain deeply committed to reinitiating metaphysics into politics, and similarly, the collective's enduring interest in Nara...
Most events and activities in today's world are ordinarily captured using photos, videos and other multimedia content. Such content has some limitation of storing data and fetching them effectively. Three-dimensional continuous PC animation is the most proper media to simulate these occasions and activities. This book focuses on futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologies. The authors present recent advancements in multimedia systems as they relate to various application areas such as healthcare services and agriculture-related industries. The authors also discuss human-machine interface design, graphics modelling, rendering/animation, i...
This book constitutes the refereed proceedings of the 14th Conference on Image and Graphics Technologies and Applications, IGTA 2019, held in Beijing, China in April, 2019. The 66 papers presented were carefully reviewed and selected from 152 submissions. They provide a forum for sharing progresses in the areas of image processing technology; image analysis and understanding; computer vision and pattern recognition; big data mining, computer graphics and VR, as well as image technology applications.
How can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks. The authors provide the fundamentals of deep learning--tuning, parallelization, vectorization, and building pipelines--that are valid for any library before introducing the open source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you'll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J.
This volume constitutes the proceedings of the 6th CCF Conference, Big Data 2018, held in Xi'an, China, in October 2018. The 32 revised full papers presented in this volume were carefully reviewed and selected from 880 submissions. The papers are organized in topical sections on natural language processing and text mining; big data analytics and smart computing; big data applications; the application of big data in machine learning; social networks and recommendation systems; parallel computing and storage of big data; data quality control and data governance; big data system and management.
This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features: • A treatment of random variables and expectations dealing primarily with the discrete case. • A practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on Markov chains. • A clear but crisp account of sim...
This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches...