Charu Gupta's Books

Contested Coastlines

Fisherfolk, Nations and Borders in South Asia

By: Charu Gupta,Mukul Sharma

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Contested Coastlines

Fisherfolk, Nations and Borders in South Asia

By: Charu Gupta,Mukul Sharma

This book is about the tragic journeys and livelihood insecurities of coastal fisherfolk jailed by India, Pakistan, Sri Lanka and Bangladesh for having entered each other’s territorial waters. While reflecting on national anxieties and the deleterious politics of boundaries, it reveals how these fisherfolk create alternative maps and a new world of ‘debordering’. These fishworkers and coastal conflicts have been subjects of everyday news, but never a subject of serious study. A first of its kind, the present book breaks new ground by examining the journeys of these fisherfolk and coastal conflicts in South Asia from several overlapping but distinct perspectives: declining sea resources, security and border anxieties, suffering of the fisherfolk, their ambiguous identities and transnational movements. The book is also innovative in terms of methodology: it is fisherfolk-centric as it marginalizes the concerns of the state from the perspective of security; it questions the very basis of security and argues for a shift in its perspective.

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Page Count

263

Publisher

Routledge

Published Date

ISBN 10

1136518282

ISBN 13

9781136518287

Wind Chimes Coursebook 6

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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Wind Chimes Coursebook 6

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

1. It is a series of English coursebooks and workbooks for classes 1 to 8, based on the new curriculum published by the CISCE 2. The series is crafted for learners of the 21st century, for whom it is of foremost importance to learn how to learn. 3. The use of Graphic Organisers, Timelines and Graphic retelling of stories develop critical thinking and study skills in learners—two vital tools for learning. 4. The series guides learners through the seven stages of a brain-based approach to learning. 5. The 5Ps address the above mentioned seven stages as follows - Ponder: aids the learners in pre-acquisition of concepts by setting the context, while preparing them to read the text with the aid of the glossary and in-text questions. Prepare: immerses the learners into the context and initiates holistic learning. It helps in the acquisition of newer perspectives through task-based activities. Practise: lays out the canvas for the stage of elaboration, in which the learners analyse and evaluate the text while applying their understanding of it. Perfect: aids memory encoding through drilling of vocabulary and grammar topics. It helps with incubation of concepts. Perform: functions as a confidence check for learners and ensures verification of their performative skills. This stage of summing up allows a functional integration of acquired concepts, leading to a celebration of learning. 6. Subject Integration (SI) tasks weave cross-curricular references through the chapters. 7. Task-Based Learning (TBL) activities present learners with real-life situations within the classroom. 8. Life Skills (LS) are enhanced through challenging texts and value-based concept checking questions (CCQs). 9. Wall of fame: At the beginning of the book is a gallery of famous authors and characters that the child will meet inside. 10. Tense Timelines (5-8): On the last page of the book is a graphic represetation of Tenses. 11. Full page illustrations and Double-spreads in lower classes make learning fun and interesting.

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196

Publisher

Vikas Publishing House

ISBN 10

9352719808

ISBN 13

9789352719808

Linear Algebra and Optimization for Machine Learning

A Textbook

By: Charu C. Aggarwal

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Linear Algebra and Optimization for Machine Learning

A Textbook

By: Charu C. Aggarwal

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution manual for the exercises at the end of each chapter is available to teaching instructors. This textbook targets graduate level students and professors in computer science, mathematics and data science. Advanced undergraduate students can also use this textbook. The chapters for this textbook are organized as follows: 1. Linear algebra and its applications: The chapters focus on the basics of linear algebra together with their common applications to singular value decomposition, matrix factorization, similarity matrices (kernel methods), and graph analysis. Numerous machine learning applications have been used as examples, such as spectral clustering, kernel-based classification, and outlier detection. The tight integration of linear algebra methods with examples from machine learning differentiates this book from generic volumes on linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these concepts. 2. Optimization and its applications: Much of machine learning is posed as an optimization problem in which we try to maximize the accuracy of regression and classification models. The “parent problem” of optimization-centric machine learning is least-squares regression. Interestingly, this problem arises in both linear algebra and optimization, and is one of the key connecting problems of the two fields. Least-squares regression is also the starting point for support vector machines, logistic regression, and recommender systems. Furthermore, the methods for dimensionality reduction and matrix factorization also require the development of optimization methods. A general view of optimization in computational graphs is discussed together with its applications to back propagation in neural networks. A frequent challenge faced by beginners in machine learning is the extensive background required in linear algebra and optimization. One problem is that the existing linear algebra and optimization courses are not specific to machine learning; therefore, one would typically have to complete more course material than is necessary to pick up machine learning. Furthermore, certain types of ideas and tricks from optimization and linear algebra recur more frequently in machine learning than other application-centric settings. Therefore, there is significant value in developing a view of linear algebra and optimization that is better suited to the specific perspective of machine learning.

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Page Count

507

Publisher

Springer Nature

Published Date

ISBN 10

3030403440

ISBN 13

9783030403447

100 Splendid Voices

Empowering Womanhood

By: Charu Sharma,Jennis Joy Jacob

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100 Splendid Voices

Empowering Womanhood

By: Charu Sharma,Jennis Joy Jacob

100 Splendid Voices is a book which gives a strong voice to the females of this world. This book contains 100 Female writers from across the Globe which talks about few social issues of this society, home and problems that women's face these days in this world. This book is a collection of Thoughts of wonderful and amazing writers from not only from one country but also from different countries.

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288

Publisher

The World Of Hidden Thoughts

Published Date

ISBN 10

1704340756

ISBN 13

9781704340753

New Voices Coursebook 6

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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New Voices Coursebook 6

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

1. It is a series of English Coursebooks, Workbooks and Literature Readers for classes 1 to 8. 2. Wall of Fame : At the beginning of the book is a gallery of famous authors and characters that the child will meet inside. 3. The use of Graphic Organisers, Timelines and Graphic retelling of stories help develop critical thinking and study skills in learners—two vital tools for learning. 4. Based on the NCF, the series guides learners through the seven stages of a brain-based approach to learning i.e. Pre-exposure, Preparation, Initiation & Acquisition, Elaboration, Incubation & memory encoding, verification & Confidence check, celebration & Integration. 5. The 5Ps address the above stages as follows : Ponder: aids the learners in pre-acquisition of concepts by setting the context, while preparing them to read the text with the aid of the glossary and in-text questions. Prepare: immerses the learners into the context and initiates holistic learning. It helps in the acquisition of newer perspectives through task-based activities. Practise: lays out the canvas for the stage of elaboration, in which the learners analyse and evaluate the text while applying their understanding of it. Perfect: aids memory encoding through drilling of vocabulary and grammar topics. It helps with incubation of concepts. Perform: functions as a confidence check for learners and ensures verification of their performative skills. This stage of summing up allows a functional integration of acquired concepts, leading to a celebration of learning. 6. Cross-curricular (CC) links weave references from other subjects through the chapters. 7. Task-Based Learning (TBL) activities present learners with real-life situations within the classroom. 8. Life Skills (LS) are enhanced through challenging texts and value-based concept checking questions (CCQs). 9. Tense Timelines (5-8): On the last page of the book is a graphic representation of Tenses. 10. Full page Illustrations and Double-spreads in lower classes make learning fun and interesting.

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172

Publisher

Vikas Publishing House

ISBN 10

9353380383

ISBN 13

9789353380380

Outlier Detection for Temporal Data

By: Manish Gupta,Jing Gao,Charu Aggarwal,Jiawei Han

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Outlier Detection for Temporal Data

By: Manish Gupta,Jing Gao,Charu Aggarwal,Jiawei Han

Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics). Since then, outlier detection has been studied on a large variety of data types including high-dimensional data, uncertain data, stream data, network data, time series data, spatial data, and spatio-temporal data. While there have been many tutorials and surveys for general outlier detection, we focus on outlier detection for temporal data in this book. A large number of applications generate temporal datasets. For example, in our everyday life, various kinds of records like credit, personnel, financial, judicial, medical, etc., are all temporal. This stresses the need for an organized and detailed study of outliers with respect to such temporal data. In the past decade, there has been a lot of research on various forms of temporal data including consecutive data snapshots, series of data snapshots and data streams. Besides the initial work on time series, researchers have focused on rich forms of data including multiple data streams, spatio-temporal data, network data, community distribution data, etc. Compared to general outlier detection, techniques for temporal outlier detection are very different. In this book, we will present an organized picture of both recent and past research in temporal outlier detection. We start with the basics and then ramp up the reader to the main ideas in state-of-the-art outlier detection techniques. We motivate the importance of temporal outlier detection and brief the challenges beyond usual outlier detection. Then, we list down a taxonomy of proposed techniques for temporal outlier detection. Such techniques broadly include statistical techniques (like AR models, Markov models, histograms, neural networks), distance- and density-based approaches, grouping-based approaches (clustering, community detection), network-based approaches, and spatio-temporal outlier detection approaches. We summarize by presenting a wide collection of applications where temporal outlier detection techniques have been applied to discover interesting outliers. Table of Contents: Preface / Acknowledgments / Figure Credits / Introduction and Challenges / Outlier Detection for Time Series and Data Sequences / Outlier Detection for Data Streams / Outlier Detection for Distributed Data Streams / Outlier Detection for Spatio-Temporal Data / Outlier Detection for Temporal Network Data / Applications of Outlier Detection for Temporal Data / Conclusions and Research Directions / Bibliography / Authors' Biographies

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Page Count

110

Publisher

Springer Nature

Published Date

ISBN 10

3031019059

ISBN 13

9783031019050

Wind Chimes Coursebook – 3

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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Wind Chimes Coursebook – 3

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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152

Publisher

Vikas Publishing House

ISBN 10

9352719778

ISBN 13

9789352719778

Introduction to Corporate Communication

Case Studies from India

By: Charu Lata Singh,Mona Gupta

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Introduction to Corporate Communication

Case Studies from India

By: Charu Lata Singh,Mona Gupta

This book examines the evolution of corporate communication in the recent past in the context of the rapidly changing contemporary business environment in India. Using several case studies, it illustrates the growing need for small and large businesses to recognize and form a direct connection with their stakeholders and further explains the effective ways through which specific business requirements are realized by communication managers. The book explores the greater dependency and function of multiple media strategies and their challenges. It also offers various theoretical and practical insights into the successful integration of diverse communication and marketing strategies like employee communication, investor relations, corporate social responsibility and philanthropy, branding, crisis management, and corporate ethics and governance, among others. Lucid and comprehensive, this book will be an essential read for students and scholars of corporate communications, business management, media and communication studies, public relations, and marketing, as well as communication and marketing practitioners.

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294

Publisher

Taylor & Francis

Published Date

ISBN 10

1000516601

ISBN 13

9781000516609

Chrysali

By: Ruth Banerjee,Adv Athira P Nair,Khushboo Kumari,Mansi Kaushal,Natasha Marion Minz ,HY Semantic,Pawan Kumar,Siddh Dutta,Charu S. Gupta

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Chrysali

By: Ruth Banerjee,Adv Athira P Nair,Khushboo Kumari,Mansi Kaushal,Natasha Marion Minz ,HY Semantic,Pawan Kumar,Siddh Dutta,Charu S. Gupta

This book is a lyrical journey through the emotions and experiences that shape our lives. From the gentle embrace of love to the poignant ache of loss, these poems weave together the threads of human existence with grace and insight. Each verse is a delicate dance of words, inviting readers to immerse themselves in the beauty of language and explore the depths of the human soul. With themes ranging from nature's splendor to the complexities of the human heart, this collection offers solace, inspiration, and a profound appreciation for the power of poetry to illuminate the experience.

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126

Publisher

Manda Publishers

Published Date

ISBN 10

9364024613

ISBN 13

9789364024617

Reproductive Biology of Angiosperms

Concepts and Laboratory Methods

By: Yash Mangla,Priyanka Khanduri,Charu Khosla Gupta

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Reproductive Biology of Angiosperms

Concepts and Laboratory Methods

By: Yash Mangla,Priyanka Khanduri,Charu Khosla Gupta

Reproductive Biology of Angiosperms: Concepts and Laboratory Methods will cater to the needs of undergraduate and graduate students pursuing core and elective courses in life sciences, botany, and plant sciences. The book is designed according to the syllabi followed in major Indian universities. It provides the latest and detailed description of structures and processes involved in reproduction in higher plants. The inclusion of colour photographs and illustrations will be an effective visual aid to help readers. Interesting and significant findings of the latest research taking place in the field of reproductive biology are also provided in boxes. At the end of each chapter, the methodology of hands-on exercises is presented for the implementation and practice of theoretical concepts.

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Page Count

534

Publisher

Cambridge University Press

Published Date

ISBN 10

1009184571

ISBN 13

9781009184571

Neural Networks and Deep Learning

A Textbook

By: Charu C. Aggarwal

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Neural Networks and Deep Learning

A Textbook

By: Charu C. Aggarwal

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Applications associated with many different areas like recommender systems, machine translation, image captioning, image classification, reinforcement-learning based gaming, and text analytics are covered. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.

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Page Count

512

Publisher

Springer

Published Date

ISBN 10

3319944630

ISBN 13

9783319944630

Supply Chain Configuration

Concepts, Solutions, and Applications

By: Charu Chandra,Janis Grabis

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Supply Chain Configuration

Concepts, Solutions, and Applications

By: Charu Chandra,Janis Grabis

This book is written for practitioners and researchers who are currently working in the field of supply chain management and operations management. It provides a thorough explanation of the supply chain configuration problem as well as offers solutions that combine the mathematical aspects of problem solving with applications in modern information technology.

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Page Count

352

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387681558

ISBN 13

9780387681559

Recommender Systems

The Textbook

By: Charu C. Aggarwal

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Recommender Systems

The Textbook

By: Charu C. Aggarwal

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three categories: Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation. Recommendations in specific domains and contexts: the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. Advanced topics and applications: Various robustness aspects of recommender systems, such as shilling systems, attack models, and their defenses are discussed. In addition, recent topics, such as learning to rank, multi-armed bandits, group systems, multi-criteria systems, and active learning systems, are introduced together with applications. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. Numerous examples and exercises have been provided, and a solution manual is available for instructors.

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Page Count

518

Publisher

Springer

Published Date

ISBN 10

3319296590

ISBN 13

9783319296593

New Voices Coursebook 5

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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New Voices Coursebook 5

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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152

Publisher

Vikas Publishing House

ISBN 10

9353380375

ISBN 13

9789353380373

Wind Chimes Coursebook 5

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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Wind Chimes Coursebook 5

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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172

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Vikas Publishing House

ISBN 10

9352719794

ISBN 13

9789352719792

Outlier Analysis

By: Charu C. Aggarwal

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Outlier Analysis

By: Charu C. Aggarwal

This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.

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Page Count

481

Publisher

Springer

Published Date

ISBN 10

3319475789

ISBN 13

9783319475783

Data Mining

The Textbook

By: Charu C. Aggarwal

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Data Mining

The Textbook

By: Charu C. Aggarwal

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete with theory and practical use cases. It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology "This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy. It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago

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746

Publisher

Springer

Published Date

ISBN 10

3319141422

ISBN 13

9783319141428

Wind Chimes Coursebook 1

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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Wind Chimes Coursebook 1

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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140

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Vikas Publishing House

ISBN 10

9352719751

ISBN 13

9789352719754

Quality of Secondary Education in India

Concepts, Indicators, and Measurement

By: Charu Jain,Narayan Prasad

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Quality of Secondary Education in India

Concepts, Indicators, and Measurement

By: Charu Jain,Narayan Prasad

This book provides useful insights into quality issues in secondary education in India and addresses the important questions of why there is need to improve the quality of education; how one can measure the quality of education; and the ways to improve quality. The analysis in this book is conceptually designed at three levels: national level performance and linkages; state level progress, disparities and linkages; and determinants of quality education at school level for measuring students learning outcomes and efficient teaching practices. The authors have used both quantitative and qualitative methods to probe into the various issues related to the quality of secondary education at micro and macro levels. This book provides a methodological framework to scholars attempting to measure and evaluate the quality of secondary education under various settings. It provides interesting insights into the identification of factors determining quality outcomes. The chapters discuss issues related to quality concepts, research methodologies, comparative analysis, key challenges, socio-economic linkages of secondary education, quality of education from students' and teachers' perspectives, quality measurement and policy suggestions. This is a valuable resource for researchers and students in the area of economics of education, education planning and administration, development studies and economics. This book is also useful for educational administrators and policy makers.

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246

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Springer

Published Date

ISBN 10

9811049297

ISBN 13

9789811049293

New Voices Coursebook 1

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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New Voices Coursebook 1

By: Dr Vijaya, Alka Batra, Charu Rekha, Vijaya Subramaniam

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124

Publisher

Vikas Publishing House

ISBN 10

9353380332

ISBN 13

9789353380335

Artificial Intelligence

A Textbook

By: Charu C. Aggarwal

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Artificial Intelligence

A Textbook

By: Charu C. Aggarwal

This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories: Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1through 5. Inductive Learning Methods: These methods start with examples and use statistical methods in order to arrive at hypotheses. Examples include regression modeling, support vector machines, neural networks, reinforcement learning, unsupervised learning, and probabilistic graphical models. These methods are discussed in Chapters~6 through 11. Integrating Reasoning and Learning: Chapters~11 and 12 discuss techniques for integrating reasoning and learning. Examples include the use of knowledge graphs and neuro-symbolic artificial intelligence. The primary audience for this textbook are professors and advanced-level students in computer science. It is also possible to use this textbook for the mathematics requirements for an undergraduate data science course. Professionals working in this related field many also find this textbook useful as a reference.

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Page Count

497

Publisher

Springer Nature

Published Date

ISBN 10

3030723577

ISBN 13

9783030723576

Outlier Ensembles

An Introduction

By: Charu C. Aggarwal,Saket Sathe

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Outlier Ensembles

An Introduction

By: Charu C. Aggarwal,Saket Sathe

This book discusses a variety of methods for outlier ensembles and organizes them by the specific principles with which accuracy improvements are achieved. In addition, it covers the techniques with which such methods can be made more effective. A formal classification of these methods is provided, and the circumstances in which they work well are examined. The authors cover how outlier ensembles relate (both theoretically and practically) to the ensemble techniques used commonly for other data mining problems like classification. The similarities and (subtle) differences in the ensemble techniques for the classification and outlier detection problems are explored. These subtle differences do impact the design of ensemble algorithms for the latter problem. This book can be used for courses in data mining and related curricula. Many illustrative examples and exercises are provided in order to facilitate classroom teaching. A familiarity is assumed to the outlier detection problem and also to generic problem of ensemble analysis in classification. This is because many of the ensemble methods discussed in this book are adaptations from their counterparts in the classification domain. Some techniques explained in this book, such as wagging, randomized feature weighting, and geometric subsampling, provide new insights that are not available elsewhere. Also included is an analysis of the performance of various types of base detectors and their relative effectiveness. The book is valuable for researchers and practitioners for leveraging ensemble methods into optimal algorithmic design.

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Page Count

288

Publisher

Springer

Published Date

ISBN 10

3319547658

ISBN 13

9783319547657

Mass Customization

A Supply Chain Approach

By: Charu Chandra,Ali K. Kamrani

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Mass Customization

A Supply Chain Approach

By: Charu Chandra,Ali K. Kamrani

Mass Customization: A Supply Chain Approach is a text on the emerging topic of mass customization in manufacturing. The contributed chapters in this book provide a unified treatment to the topic by offering coverage in four main categories - concepts and current state of research; problem solving frameworks, models, and methodologies; supportive techniques and technologies for enabling mass customization; and future research agenda. The book blends theory and practice and includes prototypical applications to illustrate this complex, yet emerging field of inquiry.

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Page Count

269

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1441990151

ISBN 13

9781441990150

Machine Learning for Text

By: Charu C. Aggarwal

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Machine Learning for Text

By: Charu C. Aggarwal

This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant focus is placed on topics like transformers, pre-trained language models, knowledge graphs, and question answering.

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583

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Springer Nature

Published Date

ISBN 10

3030966232

ISBN 13

9783030966232

Follow me, I agree to lead

Part 2

By: Charu Gupta

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Follow me, I agree to lead

Part 2

By: Charu Gupta

This book covers the most basic topics of leadership that concern the youth. The author has attempted to share her thoughts and insights about the same. Leadership is the most pressing requirement of today’s India. And the author has attempted to ease the inhibitions of the youth to take up the positions that until now were seen as power spots but from now should be seen as posts of service.

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Notion Press

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ISBN 13

9798890678478

The Gender of Caste

Representing Dalits in Print

By: Charu Gupta

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The Gender of Caste

Representing Dalits in Print

By: Charu Gupta

Caste and gender are complex markers of difference that have traditionally been addressed in isolation from each other, with a presumptive maleness present in most studies of Dalits (“untouchables”) and a presumptive upper-casteness in many feminist studies. In this study of the representations of Dalits in the print culture of colonial north India, Charu Gupta enters new territory by looking at images of Dalit women as both victims and vamps, the construction of Dalit masculinities, religious conversion as an alternative to entrapment in the Hindu caste system, and the plight of indentured labor. The Gender of Caste uses print as a critical tool to examine the depictions of Dalits by colonizers, nationalists, reformers, and Dalits themselves and shows how differentials of gender were critical in structuring patterns of domination and subordination.

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354

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University of Washington Press

Published Date

ISBN 10

0295806567

ISBN 13

9780295806563

The Gender of Caste

Representing Dalits in Print

By: Charu Gupta

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The Gender of Caste

Representing Dalits in Print

By: Charu Gupta

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Solve jigsaw puzzle

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354

Publisher

University of Washington Press

Published Date

ISBN 10

0295806567

ISBN 13

9780295806563

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