Pradeep Nevatia's Books

Managing Abundance

The Ethics Paradigm

By: Pradeep Nevatia,Rahul Nevatia

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Managing Abundance

The Ethics Paradigm

By: Pradeep Nevatia,Rahul Nevatia

India’s rural BPO guru Pradeep Nevatia joins with New York-based hedge fund investor Rahul Nevatia to present the until-now abstract concept of abundance through an innovative managing by ethics (MBE) framework that uncompromisingly connects individual self to collective self in self sustained abundance beyond the hocus-pocus of scarcity. As against the card-carrying management by objectives (MBO) acquirement, the pioneering MBE paradigm sets human–nature co-existence as the basis to realize abundance, the source energy of all beings. The ethics–abundance theme of this book could not be timelier for businesses to reconstruct their growth strategies for a sustainable future following the coronavirus pandemic. The industrial and financial engineering duo has leveraged their respective business turnaround and foot-on-the-gas-pedal backgrounds to thoroughly revamp the contemporary policy–goal deployment methodologies and make determined amendments to reconfigure several management processes in vogue to deliver sustainable business results in a meaningfully restructured leadership–fellowship relationship dynamic replacing the scarcity-driven everyday mill with natural rhythms of abundance.

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Page Count

218

Publisher

Business Expert Press

Published Date

ISBN 10

1953349714

ISBN 13

9781953349712

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Recreating Governance (Inner) Architecture

By: Pradeep Nevatia, SCD and Rahul Nevatia

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Recreating Governance (Inner) Architecture

By: Pradeep Nevatia, SCD and Rahul Nevatia

Governance is a historical process. In ancient times, ethics itself was known as governance and its onliest sacramental emprise was to eternize interactive sustainability of man-nature co-existence. Ethics, Sustainability and Governance (ESG) are to be therefore looked at only as intertwined memoranda even by the modern-day civil societies keeping man-nature relationship at the centriole. And we do it so! After our first two books of the ESG series, intended wholly to ‘ethics’ and ‘sustainability’ respectively, we now append in sequel a similarly inventive and off the beaten path approach to ‘governance’ in this ultra originative one-of-a-kind book. Our governance archetype is plain and pretense-less as we go on to proffer a set of eight straight-arrow tools along the veritable Vedic antecedents that must constitute a self-ruling governance substructure in any of in duration civil societies.

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Page Count

243

Publisher

Notion Press

Published Date

ISBN 13

9798894983301

Managing Abundance

The Ethics Paradigm

By: Pradeep Nevatia,Rahul Nevatia

Write a review Read reviews Take a Quiz Solve Book Puzzle

Managing Abundance

The Ethics Paradigm

By: Pradeep Nevatia,Rahul Nevatia

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

218

Publisher

Business Expert Press

Published Date

ISBN 10

1953349714

ISBN 13

9781953349712

Toolbox

Recreating Governance (Inner) Architecture

By: Pradeep Nevatia, SCD and Rahul Nevatia

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Recreating Governance (Inner) Architecture

By: Pradeep Nevatia, SCD and Rahul Nevatia

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Page Count

243

Publisher

Notion Press

Published Date

ISBN 13

9798894983301

Practical Convolutional Neural Networks

Implement advanced deep learning models using Python

By: Mohit Sewak,Md. Rezaul Karim,Pradeep Pujari

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Practical Convolutional Neural Networks

Implement advanced deep learning models using Python

By: Mohit Sewak,Md. Rezaul Karim,Pradeep Pujari

One stop guide to implementing award-winning, and cutting-edge CNN architectures Key Features Fast-paced guide with use cases and real-world examples to get well versed with CNN techniques Implement CNN models on image classification, transfer learning, Object Detection, Instance Segmentation, GANs and more Implement powerful use-cases like image captioning, reinforcement learning for hard attention, and recurrent attention models Book Description Convolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative eCommerce and more.You will learn to create innovative solutions around image and video analytics to solve complex machine learning and computer vision related problems and implement real-life CNN models. This book starts with an overview of deep neural networkswith the example of image classification and walks you through building your first CNN for human face detector. We will learn to use concepts like transfer learning with CNN, and Auto-Encoders to build very powerful models, even when not much of supervised training data of labeled images is available. Later we build upon the learning achieved to build advanced vision related algorithms for object detection, instance segmentation, generative adversarial networks, image captioning, attention mechanisms for vision, and recurrent models for vision. By the end of this book, you should be ready to implement advanced, effective and efficient CNN models at your professional project or personal initiatives by working on complex image and video datasets. What you will learn From CNN basic building blocks to advanced concepts understand practical areas they can be applied to Build an image classifier CNN model to understand how different components interact with each other, and then learn how to optimize it Learn different algorithms that can be applied to Object Detection, and Instance Segmentation Learn advanced concepts like attention mechanisms for CNN to improve prediction accuracy Understand transfer learning and implement award-winning CNN architectures like AlexNet, VGG, GoogLeNet, ResNet and more Understand the working of generative adversarial networks and how it can create new, unseen images Who this book is for This book is for data scientists, machine learning and deep learning practitioners, Cognitive and Artificial Intelligence enthusiasts who want to move one step further in building Convolutional Neural Networks. Get hands-on experience with extreme datasets and different CNN architectures to build efficient and smart ConvNet models. Basic knowledge of deep learning concepts and Python programming language is expected.

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Page Count

211

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788394143

ISBN 13

9781788394147

Book's by Pradeep Nevatia

Managing Abundance

Managing Abundance

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Managing Abundance

Managing Abundance

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Practical Convolutional Neural Networks

Practical Convolutional Neural Networks

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