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, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.
Documents the information technology driven changes that occur in business structures, business practices and sector structures. This work provides information on what is really happening across the economic landscape as a result of changes in information technologies. It offers a comparative picture of technology and business practice.
A street sweeper discovers a cache of black market money and escapes to see the Taj Mahal with his underage mistress; an Untouchable races to reclaim his life that’s been stolen by an upper-caste identity thief; a slum baby’s head gets bigger and bigger as he gets smarter and smarter, while his family tries to find a cure. One of India’s most original and audacious writers, Uday Prakash, weaves three tales of living and surviving in today’s globalized India. In his stories, Prakash portrays realities about caste and class with an authenticity absent in most English-language fiction about South Asia. Sharply political but free of heavy handedness.
Ultimately, what really does it mean to be creative? How can we see ourselves as participating in the creativity of God for mission? All people are creative. Sadly, however, for many, creativity is stifled and remains stunted due to several reasons—social, economic, political, cultural, and even spiritual. This study explores how ICMs—indigenous cosmopolitan musicians—negotiate their creativity amid the liminal spaces they occupy as they share in the creativity of God for mission through their music. But what exactly does it mean to share in the creativity of God for mission? Contrary to popular notion, ICMs evidence that creativity is not merely innovation; it is not a psychological metric for measuring human potential; it is certainly not the “icing on the cake” reserved for a few so-called creatives or artists. Rather, “theological creativity” is participation in the creatio Dei; it is theologically prior to mission. As a missiological framework, creatio Dei is understood here in terms of creative being, creative construction (design), and creative performance. Hopefully, this book can help clarify and expand our understanding of what it means to be truly creative and, thereby, with the help of the Creator, put into practice principles of theological creativity as we share in the creativity of God in the world, with others.
Congratulations! You are going to WIN your next SQL Server interview. “SQL The One” book can guide you to achieve the success in your next interview. This book covers Microsoft SQL Server interview experiences, questions and answers for a range of SQL DBA’s and SQL Server Professionals. All of these questions have been collected from the people who attended interviews at various multinational companies across the world. It also covers “How to prepare for a SQL DBA interview?” and “How to become an expert in your career?” Salient Features of Book All interview questions are asked in various MNC Covers 1090 real time questions and answers 254 questions on SQL Server Performance Tuning Covers all SQL Server HA & DR features 316 questions on SQL Server HA & DR features Lots of scenario based questions Covers SQL Server 2005, 2008, 2008 R2, 2012, 2014 and 2016 Questions are categorized In-depth explanations An Interview Experience with Microsoft Useful as a reference guide for SQL DBA Interview preparation
Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of artificial intelligence. LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. While fascinating, the complex workings of LLMs -- their intricate architecture, underlying algorithms, and ethical considerations -- require thorough exploration, creating a need for a comprehensive book on this subject. This book provides an authoritative exploration of the design, training, evolution, and application of LLMs. It begins with an overview of pre-trained language models and Transformer architectures, laying the groundwork for understanding prompt-based learning techniques. Next, it dives into methods for fine-tuning LLMs, integrating reinforcement learning for value alignment, and the convergence of LLMs with computer vision, robotics, and speech processing. The book strongly emphasizes practical applications, detailing real-world use cases such as conversational chatbots, retrieval-augmented generation (RAG), and code generation. These examples are carefully chosen to illustrate the diverse and impactful ways LLMs are being applied in various industries and scenarios. Readers will gain insights into operationalizing and deploying LLMs, from implementing modern tools and libraries to addressing challenges like bias and ethical implications. The book also introduces the cutting-edge realm of multimodal LLMs that can process audio, images, video, and robotic inputs. With hands-on tutorials for applying LLMs to natural language tasks, this thorough guide equips readers with both theoretical knowledge and practical skills for leveraging the full potential of large language models. This comprehensive resource is appropriate for a wide audience: students, researchers and academics in AI or NLP, practicing data scientists, and anyone looking to grasp the essence and intricacies of LLMs.
Tribes" appear worldwide today as vestiges of a pre-modern past at odds with the workings of modern states. Acts of resistance and rebellion by groups designated as "tribal" have fascinated as well as perplexed administrators and scholars in South Asia and beyond. Tribal resistance and rebellion are held to be tragic yet heroic political acts by "subaltern" groups confronting omnipotent states. By contrast, this book draws on fifteen years of archival and ethnographic research to argue that statemaking is intertwined inextricably with the politics of tribal resistance in the margins of modern India. Uday Chandra demonstrates how the modern Indian state and its tribal or adivasi subjects have made and remade each other throughout the colonial and postcolonial eras, historical processes of modern statemaking shaping and being shaped by myriad forms of resistance by tribal subjects. Accordingly, tribal resistance, whether peaceful or violent, is better understood vis-à-vis negotiations with the modern state, rather than its negation, over the past two centuries. How certain people and places came to be seen as "tribal" in modern India is, therefore, tied intimately to how "tribal" subjects remade their customs and community in the course of negotiations with colonial and postcolonial states. Ultimately, the empirical material unearthed in this book requires rethinking and rewriting the political history of modern India from its "tribal" margins.
DIV“Just then, Rahul saw a spot of yellow far away. . . .The yellow glowed beautifully in the morning light. There was something different about this particular yellow. This one entered through his eyes, dissolved in his blood, and went straight to his heart.”/divDIV /divDIVUday Prakash’s novel of contemporary India is a tender love story—university student Rahul is swept away by a “sweet fever” of love for Anjali, the enchanting girl with the golden parasol. But Prakash’s tale is set in a world where the 3,000-year-old Hindu caste system still holds sway and social realities doom the chances of a non-Brahmin boy who loves a Brahmin girl./divDIV /divDIVThe Girl with the Golden Parasol is the first English translation of Prakash’s work to be published in the United States. His audacious novel captures the profound contradictions of India today, where the forces aligned against change outweigh even the power of love./div
Industry 4.0 refers to fourth generation of industrial activity characterized by smart systems and internet-based solutions. This book describes the fourth revolution based on instrumented, interconnected and intelligent assets. The different book chapters provide a perspective on technologies and methodologies developed and deployed leading to this concept. With an aim to increase performance, productivity and flexibility, major application area of maintenance through smart system has been discussed in detail. Applicability of 4.0 in transportation, energy and infrastructure is explored, with effects on technology, organisation and operations from a systems perspective.
Lower urinary tract symptoms may be the result of a structural or functional abn- mality. To consider either in isolation would be an incomplete assessment, but c- bined anatomical and functional imaging provides a more powerful and complete tool for investigation of lower urinary tract malfunction. Yet many of the currently available radiological texts concerning lower urinary tract imaging fail to discuss these two aspects in a holistic manner. We hope that this book will fll this gap. Although it is written to be as comprehensive as possible such that it covers the vast majority of lower urinary tract disorders that will be encountered in adult urological practice, it is not meant to replace conventional textbooks of uroradiology. Rather, it is meant to be practical and user friendly. It is intended for everyday clinical use; it should allow the trainee and trained radiologist or urologist to plan a logical, yet complete radiological and dynamic investigation of the lower urinary tract. It should also be useful for nurse practitioners, medical students, and all other medical staff who commonly manage lower urinary tract disorders.
Which Kaurava was inspired by the birds to commit one of the most grotesque murders in the Mahabharata? Why did King Muchkund sleep for a million years and wake up in the Dwaparyug? Whose soul had entered the dice of Shakuni? Why was Gandhari married to a goat before she wed Dhritarashtra? What was the secret behind Arjun's chariot being burnt to ashes after the war? Who instigated Janmejay to burn every snake in the universe? Who was the only Kaurava to cross over to the Pandavas before the battle? An epic that never dies and still remains relevant even thousands of years later-Vyasa's Mahabharata has always captured our imagination. The saga of two feuding families, the Mahabharata, with its various twists and turns, has been a compelling read across generations, inspiring many to dig deeper into the great poem. This collection of twenty short stories brings out characters and incidents that are largely unheard of and are buried in the vastness of the epic. Capturing every emotion from valour, lust, loyalty and treachery to goodness and ethics so relevant to the world we live in, these stories help us understand the epic better by bringing out a different dimension altogether.
Bayesian Approach to Image Interpretation will interest anyone working in image interpretation. It is complete in itself and includes background material. This makes it useful for a novice as well as for an expert. It reviews some of the existing probabilistic methods for image interpretation and presents some new results. Additionally, there is extensive bibliography covering references in varied areas. For a researcher in this field, the material on synergistic integration of segmentation and interpretation modules and the Bayesian approach to image interpretation will be beneficial. For a practicing engineer, the procedure for generating knowledge base, selecting initial temperature for the simulated annealing algorithm, and some implementation issues will be valuable. New ideas introduced in the book include: New approach to image interpretation using synergism between the segmentation and the interpretation modules. A new segmentation algorithm based on multiresolution analysis. Novel use of the Bayesian networks (causal networks) for image interpretation. Emphasis on making the interpretation approach less dependent on the knowledge base and hence more reliable by modeling the knowledge base in a probabilistic framework. Useful in both the academic and industrial research worlds, Bayesian Approach to Image Interpretation may also be used as a textbook for a semester course in computer vision or pattern recognition.
Presents compendium of methodologies and technologies in industrial AI and digitalization Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept Covers a broad range of academic and industrial issues within the field of asset management Discusses impact of Industry 4.0 in other sectors Includes a dedicated chapter on real-time case studies
This Brief provides a clear insight of the recent advances in the field of cancer theranostics with special emphasis upon nano scale carrier molecules (polymeric, protein and lipid based) and imaging agents (organic and inorganic).
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.