A step-by-step guide to build machine learning and NLP models using Google AutoML KEY FEATURESÊ ¥Understand the basic concepts of Machine Learning and Natural Language Processing ¥Understand the basic concepts of Google AutoML, AI Platform, and Tensorflow ¥Explore the Google AutoML Natural Language service ¥Understand how to implement NLP models like Issue Categorization Systems using AutoML ¥Understand how to release the features of AutoML models as REST APIs for other applications ¥Understand how to implement the NLP models using the Google AI Platform DESCRIPTIONÊÊ Google AutoML and AI Platform provide an innovative way to build an AI-based system with less effort. In this book, you will learn about the basic concepts of Machine Learning and Natural Language Processing. You will also learn about the Google AI services such as AutoML, AI Platform, and Tensorflow, GoogleÕs deep learning library, along with some practical examples using these services in real-life scenarios. You will also learn how the AutoML Natural Language service and AI Platform can be used to build NLP and Machine Learning models and how their features can be released as REST APIs for other applications. In this book, you will also learn the usage of GoogleÕs BigQuery, DataPrep, and DataProc for building an end-to-end machine learning pipeline. Ê This book will give you an in-depth knowledge of Google AutoML and AI Platform by implementing real-life examples such as the Issue Categorization System, Sentiment Analysis, and Loan Default Prediction System. This book is relevant to the developers, cloud enthusiasts, and cloud architects at the beginner and intermediate levels. WHAT YOU WILL LEARNÊ By the end of this book, you will learn how Google AutoML, AI Platform, BigQuery, DataPrep, and Dapaproc can be used to build an end-to-end machine learning pipeline. You will also learn how different types of AI problems can be solved using these Google AI services. A step-by-step implementation of some common NLP problems such as the Issue Categorization System and Sentiment Analysis System that provide you with hands-on experience in building complex AI-based systems by easily leveraging the GCP AI services. Ê WHO IS THIS BOOK FORÊ This book is for machine learning engineers, NLP users, and data professionals who want to develop and streamline their ML models and put them into production using Google AI services. Prior knowledge of python programming and the basics of machine learning would be preferred. TABLE OF CONTENTS 1. Introduction to Artificial Intelligence 2. Introducing the Google Cloud Platform 3. AutoML Natural Language 4. Google AI Platform 5. Google Data Analysis, Preparation, and Processing Services AUTHOR BIOÊ Navin Sabharwal: Navin is an innovator, leader, author, and consultant in AI and Machine Learning, Cloud Computing, Big Data Analytics, Software Product Development, Engineering, and R&D. He has authored books on technologies such as GCP, AWS, Azure, AI and Machine Learning systems, IBM Watson, chef, GKE, Containers, and Microservices. He is reachable at Navinsabharwal@gmail.com. Amit Agrawal: Amit holds a masterÕs degree in Computer Science and Engineering from MNNIT (Motilal Nehru National Institute of Technology, Allahabad), one of the premier institutes of Engineering in India. He is working as a principal Data Scientist and researcher, delivering solutions in the fields of AI and Machine Learning. He is responsible for designing end-to-end solutions and architecture for enterprise products. He is reachable at agrawal.amit24@gmail.com.
This comprehensive reference text discusses advance concepts and applications in the field of nanotechnology. The text presents a detailed discussion of key important concepts including nanomaterials and nanodevices, nano-bio interface, nanoscale memories, and semiconductor nanotechnology. It discusses applications of nanotechnology in the fields of aerospace engineering, cosmetic industry, pharmaceutical science, food industry, and the textile industry. The text will be useful for senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, nanotechnology, and pharmaceutical science. Discussing fundamental, advanced concepts and their applications in a single volume, this text will be useful as a reference text for senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, nanotechnology, and pharmaceutical science. It comprehensively discusses important concepts such as nano-robotics, carbon-based nanomaterials, and nanoscale memories. The text discusses advanced concepts of nanotechnology and its applications in the fields of textile, pharmaceutical sciences, aerospace, and food industry. It will be an ideal reference text for senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, nanotechnology, and nanoscience.
Proposes computational models of human memory and learning using a brain-computer interfacing (BCI) approach Human memory modeling is important from two perspectives. First, the precise fitting of the model to an individual's short-term or working memory may help in predicting memory performance of the subject in future. Second, memory models provide a biological insight to the encoding and recall mechanisms undertaken by the neurons present in active brain lobes, participating in the memorization process. This book models human memory from a cognitive standpoint by utilizing brain activations acquired from the cortex by electroencephalographic (EEG) and functional near-infrared-spectroscopic (f-NIRs) means. Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach begins with an overview of the early models of memory. The authors then propose a simplistic model of Working Memory (WM) built with fuzzy Hebbian learning. A second perspective of memory models is concerned with Short-Term Memory (STM)-modeling in the context of 2-dimensional object-shape reconstruction from visually examined memorized instances. A third model assesses the subjective motor learning skill in driving from erroneous motor actions. Other models introduce a novel strategy of designing a two-layered deep Long Short-Term Memory (LSTM) classifier network and also deal with cognitive load assessment in motor learning tasks associated with driving. The book ends with concluding remarks based on principles and experimental results acquired in previous chapters. Examines the scope of computational models of memory and learning with special emphasis on classification of memory tasks by deep learning-based models Proposes two algorithms of type-2 fuzzy reasoning: Interval Type-2 fuzzy reasoning (IT2FR) and General Type-2 Fuzzy Sets (GT2FS) Considers three classes of cognitive loads in the motor learning tasks for driving learners Cognitive Modeling of Human Memory and Learning A Non-invasive Brain-Computer Interfacing Approach will appeal to researchers in cognitive neuro-science and human/brain-computer interfaces. It is also beneficial to graduate students of computer science/electrical/electronic engineering.
Machine Learning for Business Analytics Machine learning—also known as data mining or data analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the seventh edition of Machine Learning for Business Analytics, and the first using RapidMiner software. This edition also includes: A new co-author, Amit Deokar, who brings experience teaching business analytics courses using RapidMiner Integrated use of RapidMiner, an open-source machine learning platform that has become commercially popular in recent years An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
This book contains high-quality research articles and reviews that promote research and reflect the most recent advances in intelligent wavelet based techniques for advanced multimedia applications as well as other emerging areas. In recent time, wavelet transforms have become useful in many signal, image and video processing applications, especially for multimedia security and surveillance. A few applications of wavelets in security and surveillance are watermarking, fusion, steganography, object detection, tracking, motion recognition and intention recognition, etc. Wavelets are well capable of analyzing signal, image and video at different resolution levels, popularly known as multiresolution analysis. The multiresolution analysis is advantageous in multimedia security and surveillance applications. It provides flexibility in selection of different resolution levels that leads to better accuracy. Furthermore, recently sparse representation has become an advancement to analyze wavelet coefficients. It is observed that wavelet transforms possess the invariance property which makes them suitable for many vision applications. This book provides a concise overview of the current state of the art and disseminates some of the novel and exciting ideas and techniques. In addition, it is also helpful for the senior undergraduate and graduate students, researcher, academicians, IT professional and providers, citizens, customers as well as policy makers working in this area as well as other emerging applications demanding state-of-the-art wavelet based multimedia applications.
This book provides fundamental principles of intelligent transport systems with comprehensive insight and state of the art of vehicles, vehicular technology, connecting vehicles, and intelligent vehicles/autonomous intelligent vehicles. The book discusses different approaches for multiple sensor-based multiple-objects tracking, in addition to blockchain-based solutions for building tamper-proof sensing devices. It introduces various algorithms for security, privacy, and trust for intelligent vehicles. This book countermeasures all the drawbacks and provides useful information to students, researchers, and scientific communities. It contains chapters from national and international experts and will be essential for researchers and advanced students from academia, and industry experts who are working on intelligent transportation systems.
Indian by Choice tackles the complex theme of identity; it is a journey of self-discovery through the myriad human relationships that help us see things in perspective and in context. Written in the form of a graphic novel, it tells the story of Mandy, a second generation Indian, born and brought up in Chicago. He is as American as they come-hot dogs, French Fries, baseball and the love of all things American, especially blonde. He is, of course, no different from his clones who are in several other parts of the world-England and Australia, the Netherlands and Canada. They blend with their surroundings by assimilating the culture of their adopted home and denying their Indian roots and heritage. In the case of the hero of our book, he has even changed his name from Mandeep to Mandy! He is required, under duress, to travel to India for a family wedding and despite his fears and his doubts, his distaste and his abhorrence of 'all things Indian', he finds himself drawn into a world that he was familiar with only through his relationship with his parents and sister. These had to do with strong and pervasive family ties and bonding, friendships that were open and warm-hearted. All this appeared to be so 'normal and natural' in India. Through candid discussions, he confronts his fears and ignorance about India. When it is time for him to leave, he finds that there is much about India he simply did not know and a great deal he would like to know more. He increasingly reconciles with his suppressed identity. He willingly makes the choice of not denying his Indian roots. He is an Indian by choice.
Amit writes a riveting history of the Tata group and captures the sense of nostalgia associated with JRD Tata and the early industrial efforts. Importantly, Amit takes a contrarian view of the carefully cultivated image of the group, it’s inflexion points and the family. Sampath "Sam" Iyengar PE Investor, Advisor & Former Global CEO The difference between an “Entrepreneur” and an “Investor” became more distinct to me after i read this book. While most Investors judge a company by its “data’ an entrepreneur will mine that data, and Amit has done in his own unique and through manner, which I must say is very engaging and an eye opener.This book by Amit is has insights and revelations about the most trusted companies we have known in India. Pravin Malkani Architect and Entrepreneur, Mumbai A frank voice that opines in a no-holds-barred manner, he plays not only the single role of an author, but also that of part historian, part observer, part journalist, and part critic. Loaded with data, figures, graphs, and photographs, this quick handy guide about the Tatas is a researched compendium replete with analysis and commentary. Preeyam Budhia President - Business Development, Patton Group OK Tata is another example of what Amit does best - challenging perspectives. The book doesn't force its ideas on the reader, it rather keeps it open and lets the reader draw their conclusions. It has a bold take on Mr. Ratan Tata and the legacy surrounding him. Pick it up and you are guaranteed a roller coaster ride into the world of Tatas even though you may not agree with it all. Amit - you have done it again. Yeshaswi Ramaswamy Human Resources Professional
Parkinsonism is a clinical syndrome characterised by tremor, bradykinesia, rigidity, and postural instability. Parkinsonism shares symptoms found in Parkinson's Disease, from which it is named; but parkinsonism is a symptom complex, and differs from Parkinson's disease which is a progressive neurodegenerative illness. This book is a guide to Parkinsonism for practising neurologists. Beginning with an overview of the condition, the next chapters discuss the differences between Parkinsonism and Parkinson’s Disease. The following sections cover the diagnosis and treatment of various disorders associated with Parkinsonism and both early and advanced Parkinson’s Disease. A complete chapter is dedicated to the use of Botulinum Toxin (Botox) in the management of Parkinsonism. Each chapter is supplemented by clinical cases to assist understanding of the complex condition. Edited by recognised experts in the field, the book is further enhanced by clinical photographs and illustrations. Key points Guide to Parkinsonism detailing differences between the condition and Parkinson’s Disease Covers diagnosis and treatment of disorders associated with both conditions Includes chapter on use of Botulinum Toxin (Botox) in the management of Parkinsonism Each chapter features clinical cases to assist understanding
This book provides a detailed introduction to carbon nanotubes (CNTs) for targeted drug delivery. After a brief overview of the classification, preparation, and characterization of carbon nanotubes, it focuses on their use in targeted drug delivery. It presents CNTs for brain targeting, ocular targeting, cancer targeting, and lymphatic targeting, as well as antibody therapy. The book also includes chapters on carbon nanotubes for controlled drug delivery, transdermal drug delivery, solubility enhancement, vaccine delivery, gene delivery, and as quantum dots. Last but not least, it addresses the absorption and transportation of CNTs, toxicity and regulatory considerations, as well as clinical trials and the market status of CNTs. The book offers a comprehensive, self-contained reference guide, with all topics covered concisely and with the help of figures, tables and flowcharts.
: About Book: This book offers a comprehensive and well-rounded view of research as a tool for problem-solving in the wide range of the social sciences. The book synthesizes both positivist and non-positivist methodologies. It is meant for students who are undertaking their first research course or project. The techniques, while basic in nature, are used in many masters and doctoral research studies. The book uses engaging language, real-life examples from various subject areas and follows an inductive approach. With the help of this book, from an experiential base, students should be able to build a more advanced conceptual and theoretical understanding of research through further reading and practice. This book discusses a policy-applied-pure-action model of research covering both quantitative and qualitative methods for case study, survey and experimental designs.
This book presents a thorough analysis of gestural data extracted from raw images and/or range data with an aim to recognize the gestures conveyed by the data. It covers image morphological analysis, type-2 fuzzy logic, neural networks and evolutionary computation for classification of gestural data. The application areas include the recognition of primitive postures in ballet/classical Indian dances, detection of pathological disorders from gestural data of elderly people, controlling motion of cars in gesture-driven gaming and gesture-commanded robot control for people with neuro-motor disability. The book is unique in terms of its content, originality and lucid writing style. Primarily intended for graduate students and researchers in the field of electrical/computer engineering, the book will prove equally useful to computer hobbyists and professionals engaged in building firmware for human-computer interfaces. A prerequisite of high school level mathematics is sufficient to understand most of the chapters in the book. A basic background in image processing, although not mandatory, would be an added advantage for certain sections.
Charting out a roadmap for India depends on a sound understanding of how India is unique and why it is shaped the way it is. The Elephant Moves unfolds a captivating saga, tracing India's economic journey through the lens of competitiveness. From unraveling economic history ('origins unveiled") to navigating global dynamics ("sailing the tides"), the book explores the forces shaping nations. It delves into the facets of many Indias, unveiling opportunities in heterogeneity. Envisioning India's path to a developed economy by 2047, the book addresses challenges such as job creation, policy implementation, and the imperative for shared prosperity that are met through guiding principles grounded in shared value, social progress, and prosperity. Providing a dynamic vision for India's diverse future, the book urges readers to embrace a narrative where India, rooted in regional diversity, shapes its global destiny.
In India, the practice of jugaad—finding workarounds or hacks to solve problems—emerged out of subaltern strategies of negotiating poverty, discrimination, and violence but is now celebrated in management literature as a disruptive innovation. In Jugaad Time Amit S. Rai explores how jugaad operates within contemporary Indian digital media cultures through the use of the mobile phone. Rai shows that despite being co-opted by capitalism to extract free creative labor from the workforce, jugaad is simultaneously a practice of everyday resistance, as workers and communities employ hacks to oppose corporate, caste, and gender power. Locating the tensions surrounding jugaad—as both premodern and postdigital, innovative and oppressive—Rai maps how jugaad can be used to undermine neoliberal capitalist media ecologies and nationalist politics.
The Internet has proven to be a great resource for the medical community. It has specifically had a great impact on the practice of Radiology. It has enabled the proliferation, installation, and acceptance of adjunct technologies such as Picture Archiving (PACS), electronic medical record (EMR) and Voice Recognition (VR). The number of radiology-specific web sites just 5 years ago was about 30. A recent compilation now numbers in the thousands. Computer technology and the Internet have revolutionized the way radiologists work on a daily basis. All aspects of the Internet and related technologies are explained in this book.
The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.
A study of science and technology practices that shows how even emergent aspects of research and development remain entangled with established hierarchies. In the last four decades, during which magnetic resonance imaging (MRI) has emerged as a cutting-edge medical technology and a cultural icon, technoscientific imaginaries and practices have undergone a profound change across the globe. Shifting transnational geography of tecchnoscientific innovations is making commonly deployed Euro/West-centric divides such as west versus non-west or “innovating north” versus “non-innovating south” increasingly untenable—the world is indeed becoming flatter. Nevertheless, such dualist divides, which are intimately tied to other dualist categories that have been used to describe scientific knowledge and practice, continue to undergird analyses and imaginaries of transnational technoscience. Imperial Technoscience puts into broad relief the ambivalent and contradictory folding of Euro/west-centrism with emergent features of technoscience. It argues, Euro/West-centric historicism, and resulting over-determinations, not only hide the vibrant, albeit hierarchical, transnational histories of technoscience, but also tell us little about shifting geography of technoscientific innovations. The book utilizes a deconstructive-empirical approach to explore “entangled” histories of MRI across disciplines (physics, chemistry, medicine, etc.), institutions (university, hospitals, industry, etc.), and nations (United States, Britain, and India). Entangled histories of MRI, it shows, better explain emergence and consolidation of particular technoscientific trajectories and shifts in transnational geography of science and technology (e.g. centers and peripheries).
This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.
Endodontics is the prevention, diagnosis and management of diseases of the tooth pulp and the tissues surrounding the root of a tooth. This new edition brings trainees up to date with the most recent advances in the field. Each chapter has been fully revised and new topics are included such as endodontic failures and retreatment, tooth hypersensitivity, and tooth infractions. Key points and clinical tips are highlighted for each topic and questions are included at the end of each chapter to assist exam preparation. This comprehensive third edition includes more than 1000 high quality images and line diagrams and two accompanying DVD ROMs demonstrate root canal procedures. Key points Comprehensive, new edition bringing trainees fully up to date with recent advances in endodontics Each chapter included key points, clinical tips and questions for revision Two DVD ROMs demonstrate root canal procedures Previous edition published in 2010
This book is a guide to endocrine surgery for practising and trainee endocrinologists. Divided into 45 chapters, the text begins with an overview of applied embryology, physiology, and surgical anatomy of the endocrine glands. The next section explains thyroid function tests and their interpretation. Each of the following chapters covers the surgical management of a different thyroid-related disorder. The final sections discuss allied topics including endocrine radiology, pathology, the role of nuclear medicine in endocrine surgery, and radiotherapy. Each chapter concludes with clinical pearls to assist learning. With an internationally recognised editor and author team, the comprehensive text is highly illustrated with photographs, radiographic images, flow charts, and diagrams.
The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.
Accelerate Business Value Realization and Drive Financial Accountability for Cloud Infrastructure KEY FEATURES ● In-depth knowledge of establishing and operating the FinOps model. ● A collection of use cases examining the adoption and benefits of FinOps. ● Includes Cloud cost optimization solutions such as waste elimination, appropriate sizing, and purchasing strategy. DESCRIPTION FinOps is a novel cloud operating model that uses interdisciplinary teams to manage cloud expenditures in concert. With the help of the tools, best practices, and culture introduced in this book, businesses can analyze cloud expenses and make strategic decisions in a better way. The book's ultimate objective is to teach companies how to establish a reasonable cost, speed, and quality balance in the cloud. The book begins with an overview of why FinOps exists, the problems it solves, the principles it is based on, and how it fits into the history of financial management. The subsequent chapters of this book explain the three stages—inform, optimize, and operate—and the best methods to use in each stage. The book then explains in depth, with examples, how to maximize efficiency while minimizing expenses for each of the three major public cloud providers: Google, Amazon, and Microsoft. The book also covers cost optimization techniques for the public cloud, FinOps operations management, cloud cost visibility, and forecasting. WHAT YOU WILL LEARN ● Highlights of the evolution and demand of FinOps by prominent organizations. ● Learn the ins and outs of the cloud billing system. ● Utilization of regression methods to extract insights from the FinOps data. ● Gain a thorough understanding of running all the FinOps processes. ● Investigate and test several ways to optimize your cloud spending. ● Learn about the various cloud benefits provided by Azure, AWS, and GCP. WHO THIS BOOK IS FOR If you are a finance, DevOps, or IT professional looking to collaborate on decision-making and cost control in the overall cloud financial operations, this is the only knowledge book you need. In addition, multiple teams, including Procurement, Service Delivery, and Platform Engineering, can read this book to inspire curiosity and exploration. TABLE OF CONTENTS 1. Introduction to FinOps 2. Inform Phase of FinOps Lifecycle 3. Optimize Phase of FinOps Lifecycle 4. Cost Optimization Techniques for AWS 5. Cost Optimization Techniques for Azure 6. Cost Optimization Techniques for GCP 7. Leveraging Algorithms for Analyzing FinOps Data 8. Managing FinOps Operations
This book proposes novel methods for solving different types of non-cooperative games with interval/fuzzy/intuitionistic fuzzy payoffs. It starts by discussing several existing methods and shows that some mathematically incorrect assumptions have been considered in all these methods. It then proposes solutions to adapt those methods and validate the new proposed methods, such as Gaurika method Ambika-I-IV, Mehar method and others, by using them for solving existing numerical problems. The book offers a comprehensive guide on non-cooperative games with fuzzy payoffs to both students and researchers. It provides them with the all the necessary tools to understand the methods and the theory behind them.
NCERT Textbooks play the most vital role in developing student’s understanding and knowledge about a subject and the concepts or topics covered under a particular subject. Keeping in mind this immense importance and significance of the NCERT Textbooks in mind, Arihant has come up with a unique book containing Questions-Answers of NCERT Textbook based questions. This book containing solutions to NCERT Textbook questions has been designed for the students studying in Class XI following the NCERT Textbook for Accountancy. The present book has been divided into two parts containing 16 Chapters covering the syllabi of Accountancy for Class XI. Part A covers Theory Base of Accounting, Recording of Transactions-I, Recording of Transactions-II, Bill of Exchange, Bank Reconciliation Statement, etc whereas Part B covers Financial Statements-I, Accounts from Incomplete Records, Applications of Computers in Accounting, Computerized Accounting System, etc. This book has been worked out with an aim of overall development of the students in such a way that it will help students define the way how to write the answers of the textbook based questions. The book covers selected NCERT Exemplar Problems which will help the students understand the type of questions and answers to be expected in the Class XI Accountancy Examination. Also each chapter in the book begins with a summary of the chapter which will help in effective understanding of the theme of the chapter and to make sure that the students will be able to answer all popular questions concerned to a particular chapter whether it is Long Answer Type or Short Answer Type Question. The book has been designed systematically in the simplest manner for easy comprehension of the chapters and their themes. For the overall benefit of students the book has been designed in such a way that it not only gives solutions to all the exercises but also gives detailed explanations which will help the students in learning the concepts and will enhance their thinking and learning abilities. As the book has been designed strictly according to the NCERT Textbook of Accountancy for Class XI and contains simplified text material in the form of class room notes and answers to all the questions in lucid language, it for sure will help the Class XI students in an effective way for Accountancy.
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