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1000 tulosta hakusanalla R. Gupta

R. Gupta's Bank Specialist Officers Common Written Exam (CWE)

R. Gupta's Bank Specialist Officers Common Written Exam (CWE)

Rph Editorial Board

Ramesh Publishing House
2011
nidottu
This comprehensive book is specially developed for the candidates of IBPS: Bank Specialist Officers Exam. This book includes Study Material & Previous Papers (Solved) for the purpose of practice of questions based on the latest pattern of the examination. Detailed Explanatory Answers have also been provided for the selected questions for Better Understanding of the Candidates.
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The Age of the Imperial Guptas

The Age of the Imperial Guptas

R.D. Banerji

MANOHAR PUBLISHERS AND DISTRIBUTORS
2024
sidottu
This book is a collection of six lectures on the ‘Age of the Imperial Guptas’ delivered at the Banaras Hindu University by renowned scholar R.D. Bannerji in 1924. The Age of the Imperial Guptas is a very im­portant epoch in ancient Indian history. This book delineates with a masterly hand the multifarious manifestations of the spirit of the age. It gives not only an account of the Gupta chronology and administration but also of the literary and religious revival, and of the architectural, sculptural,?and?numismatic?achievements?of?the?age.
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Shikshan Abhiruchi Avam Shikshan Abhivrati (R-981)

Shikshan Abhiruchi Avam Shikshan Abhivrati (R-981)

R Gupta

Ramesh Publishing House
2020
nidottu
प्रस्तुत पुस्तक विभिन्न संस्थानों द्वारा आयोजित 'शिक्षक भर्ती परीक्षा' के अभ्यर्थियों के लिए विशेष रूप से प्रकाशित की गई है। परीक्षा की आधुनिक पद्धति तथा नवीनतम पाठ्यक्रम पर आधारित यह पुस्तक अभ्यर्थियों के लिए अतिउपयोगी है। पुस्तक में संयोजित विशेष पठन.सामग्री तथा अभ्यास हेतु अनेक बहु.विकल्पीय प्रश्न हलसहित दिए गए हैं। आपकी बेहतर जानकारी के लिए पुस्तक में पूर्वपरीक्षाओं के प्रश्न भी हल सहित सम्मिलित किये गये हैं। इनके द्वारा आप परीक्षा में पूछे जाने वाले प्रश्नों की प्रकृति तथा उन्हें हल करने की विधियों से भलीभाँति परिचित हो सकेंगे। पुस्तक में 'शिक्षण अभिरुचि एवं शिक्षण अभिवृत्ति' विषय पर पर्याप्त पठन एवं अभ्याससामग्री उपलब्ध करवायी गई है। पुस्तक में संयोजित अभ्यासप्रश्नोत्तरों के समुचित अभ्यास द्वारा आप निस्संदेह अपने बुद्धि.कौशल तथा सरलता एवं तीव्र गति से प्रश्नों को हल करने की क्षमता का पर्याप्त विकास कर सकेंगे और अपनी आगामी परीक्षा में स्वयं को आत्मविश्वास सहित, सफलतापूर्वक प्रस्तुत कर सकेंगे। पुस्तक में प्रस्तुत उत्कृष्ट पठन एवं अभ्याससामग्री जहाँ आपके लिए 'गागर में सागर' समान उपयोगी सिद्ध होगी, वहीं इसके साथ आपके अध्ययन तथा अभ्यास का संयोजन शिक्षाक्षेत्र में आपके उज्ज्वल भविष्य का मार्ग सुनिश्चित करेगा।
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The Gupta Polity

The Gupta Polity

V.R. Ramachandra Dikshitar

MANOHAR PUBLISHERS AND DISTRIBUTORS
2024
sidottu
The Gupta Polity is a companion volume to the author's The Mauryan Polity. Divided into seven sections, it presents a comprehensive history of?the?Gupta?dynasty.The Gupta period is known for its golden age of literary compositions, and the author begins with a literary history of the period. The ad­ministrative structure within the political sphere, including the central powers, the provincial government, frontier region policy, and various other administrative systems are covered next. Furthermore, the establishment of military forces, officials, councils, offices, and ethical practices of the army, as well as economic practices and the legal system are discussed. There is discussion on religious history, which is the most important aspect as it talks about the popularity of sects within Hinduism like Vaishnavism, Shaivism, Shakti and Surya cults, and the accounts?of?Buddhism?and?Jainism?during?the?Gupta?period.
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Deep Learning with R Cookbook

Deep Learning with R Cookbook

Swarna Gupta; Rehan Ali Ansari; Dipayan Sarkar

Packt Publishing Limited
2020
nidottu
Tackle the complex challenges faced while building end-to-end deep learning models using modern R librariesKey FeaturesUnderstand the intricacies of R deep learning packages to perform a range of deep learning tasksImplement deep learning techniques and algorithms for real-world use casesExplore various state-of-the-art techniques for fine-tuning neural network modelsBook DescriptionDeep learning (DL) has evolved in recent years with developments such as generative adversarial networks (GANs), variational autoencoders (VAEs), and deep reinforcement learning. This book will get you up and running with R 3.5.x to help you implement DL techniques.The book starts with the various DL techniques that you can implement in your apps. A unique set of recipes will help you solve binomial and multinomial classification problems, and perform regression and hyperparameter optimization. To help you gain hands-on experience of concepts, the book features recipes for implementing convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Long short-term memory (LSTMs) networks, as well as sequence-to-sequence models and reinforcement learning. You’ll then learn about high-performance computation using GPUs, along with learning about parallel computation capabilities in R. Later, you’ll explore libraries, such as MXNet, that are designed for GPU computing and state-of-the-art DL. Finally, you’ll discover how to solve different problems in NLP, object detection, and action identification, before understanding how to use pre-trained models in DL apps.By the end of this book, you’ll have comprehensive knowledge of DL and DL packages, and be able to develop effective solutions for different DL problems.What you will learnWork with different datasets for image classification using CNNsApply transfer learning to solve complex computer vision problemsUse RNNs and their variants such as LSTMs and Gated Recurrent Units (GRUs) for sequence data generation and classificationImplement autoencoders for DL tasks such as dimensionality reduction, denoising, and image colorizationBuild deep generative models to create photorealistic images using GANs and VAEsUse MXNet to accelerate the training of DL models through distributed computingWho this book is forThis deep learning book is for data scientists, machine learning practitioners, deep learning researchers and AI enthusiasts who want to learn key tasks in deep learning domains using a recipe-based approach. A strong understanding of machine learning and working knowledge of the R programming language is mandatory.
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The Research Contributions of Donald R. Lehmann to Marketing, Volume 6

The Research Contributions of Donald R. Lehmann to Marketing, Volume 6

Sunil Gupta

Springer International Publishing AG
2025
sidottu
The "Great Thinkers in Marketing" series highlights the significant contributions of the most influential scholars to marketing research, theory, and practice. The series and volume editors organize each legend's most impactful articles into several volumes as an anthology set. Volume editors also seek commentaries from other scholars familiar with the legend's work on the articles included in that volume. This set, comprising six volumes of contributions of Donald Lehmann, covers a broad spectrum of topics relating to customer behavior and decision-making processes, the estimation of stochastic models, empirical replication for theoretical generalization, advertising and branding, new product and innovation diffusion, and performance outcomes of marketing strategy. This volume, edited by Jacob Goldenberg and Sunil Gupta, synthesizes Lehmann’s work on innovation diffusion, strategy, and marketing performance. Along with his articles on these topics, it features an interview with Lehmann and three insightful commentaries from well-known scholars in this field. Of great theoretical and practical relevance, the chapters in this volume enhance the understanding of how marketing strategies lead to innovation diffusion and successful performance outcomes.
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Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

Bhisham C. Gupta; Irwin Guttman; Kalanka P. Jayalath

Wiley-Blackwell
2020
sidottu
Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining—including big data, classification, machine learning, and visualization—is featured. Another new chapter covers cluster analysis methodologies in hierarchical, nonhierarchical, and model based clustering. The book also offers a chapter on Response Surfaces that previously appeared on the book’s companion website. Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP, Second Edition is broken into two parts. Part I covers topics such as: describing data graphically and numerically, elements of probability, discrete and continuous random variables and their probability distributions, distribution functions of random variables, sampling distributions, estimation of population parameters and hypothesis testing. Part II covers: elements of reliability theory, data mining, cluster analysis, analysis of categorical data, nonparametric tests, simple and multiple linear regression analysis, analysis of variance, factorial designs, response surfaces, and statistical quality control (SQC) including phase I and phase II control charts. The appendices contain statistical tables and charts and answers to selected problems. Features two new chapters—one on Data Mining and another on Cluster AnalysisNow contains R exhibits including code, graphical display, and some resultsMINITAB and JMP have been updated to their latest versionsEmphasizes the p-value approach and includes related practical interpretationsOffers a more applied statistical focus, and features modified examples to better exhibit statistical conceptsSupplemented with an Instructor's-only solutions manual on a book’s companion website Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP is an excellent text for graduate level data science students, and engineers and scientists. It is also an ideal introduction to applied statistics and probability for undergraduate students in engineering and the natural sciences.
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Applied Analytics through Case Studies Using SAS and R

Applied Analytics through Case Studies Using SAS and R

Deepti Gupta

APress
2018
nidottu
Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach to solve Industrial business problems Build predictive model with machine learning techniquesCreate and apply analytical strategiesWho This Book Is ForData scientists, developers, statisticians, engineers, and research students with a great theoretical understanding of data and statistics who would like to enhance their skills by getting practical exposure in data modeling.
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