Sharmistha Chaudhuri's Books

Cheating Covid

A Family's Story of Suffering and Survival

By: Manasi Gokhale,Rohan Bavadekar,Sharmistha Chaudhuri

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Cheating Covid

A Family's Story of Suffering and Survival

By: Manasi Gokhale,Rohan Bavadekar,Sharmistha Chaudhuri

The minute the sneeze droplets hit the back of Rohan’s neck, he knew trouble was brewing. He tried not to alarm his family but couldn’t fool Manasi, his wife of 14 years. Manasi always trusted her gut, and her gut was telling her, ‘The worst is yet to come.’ It was the early days of the coronavirus pandemic. Mortality rates were high, terror had gripped the world as an unseen virus felled the population. Treatment was at best experimental, there was no vaccine in sight. As Rohan was kept alive by machines, Manasi, managing her own ill health and that of their three children also stricken with the virus, battled to save her husband from the confines of her quarantine. This is a tale of survival against all odds, all for love and family.

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Page Count

246

Publisher

Global Collective Publishers

Published Date

ISBN 10

1954021925

ISBN 13

9781954021921

Bengali Cinema: An Other Nation

By: Sharmistha Gooptu

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Bengali Cinema: An Other Nation

By: Sharmistha Gooptu

Sharmistha Gooptu is a founder and managing trustee of the South Asia Research Foundation (SARF), a not-for-profit research body based in India. SARF’s current project SAG (South Asian Gateway) is in partnership with Taylor and Francis, and involves the creation of what will be the largest South Asian digital database of historical materials. She is also the joint editor of the journal South Asian History and Culture (Routledge) and the Routledge South Asian History and Culture book series.

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Page Count

376

Publisher

Roli Books Private Limited

Published Date

ISBN 10

8193704959

ISBN 13

9788193704950

Platform and Model Design for Responsible AI

Design and build resilient, private, fair, and transparent machine learning models

By: Amita Kapoor,Sharmistha Chatterjee

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Platform and Model Design for Responsible AI

Design and build resilient, private, fair, and transparent machine learning models

By: Amita Kapoor,Sharmistha Chatterjee

Craft ethical AI projects with privacy, fairness, and risk assessment features for scalable and distributed systems while maintaining explainability and sustainability Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn risk assessment for machine learning frameworks in a global landscape Discover patterns for next-generation AI ecosystems for successful product design Make explainable predictions for privacy and fairness-enabled ML training Book Description AI algorithms are ubiquitous and used for tasks, from recruiting to deciding who will get a loan. With such widespread use of AI in the decision-making process, it's necessary to build an explainable, responsible, transparent, and trustworthy AI-enabled system. With Platform and Model Design for Responsible AI, you'll be able to make existing black box models transparent. You'll be able to identify and eliminate bias in your models, deal with uncertainty arising from both data and model limitations, and provide a responsible AI solution. You'll start by designing ethical models for traditional and deep learning ML models, as well as deploying them in a sustainable production setup. After that, you'll learn how to set up data pipelines, validate datasets, and set up component microservices in a secure and private way in any cloud-agnostic framework. You'll then build a fair and private ML model with proper constraints, tune the hyperparameters, and evaluate the model metrics. By the end of this book, you'll know the best practices to comply with data privacy and ethics laws, in addition to the techniques needed for data anonymization. You'll be able to develop models with explainability, store them in feature stores, and handle uncertainty in model predictions. What you will learn Understand the threats and risks involved in ML models Discover varying levels of risk mitigation strategies and risk tiering tools Apply traditional and deep learning optimization techniques efficiently Build auditable and interpretable ML models and feature stores Understand the concept of uncertainty and explore model explainability tools Develop models for different clouds including AWS, Azure, and GCP Explore ML orchestration tools such as Kubeflow and Vertex AI Incorporate privacy and fairness in ML models from design to deployment Who this book is for This book is for experienced machine learning professionals looking to understand the risks and leakages of ML models and frameworks, and learn to develop and use reusable components to reduce effort and cost in setting up and maintaining the AI ecosystem.

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Page Count

516

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1803249773

ISBN 13

9781803249773

Cheating Covid

A Family's Story of Suffering and Survival

By: Manasi Gokhale,Rohan Bavadekar,Sharmistha Chaudhuri

Write a review Read reviews Take a Quiz Solve Book Puzzle

Cheating Covid

A Family's Story of Suffering and Survival

By: Manasi Gokhale,Rohan Bavadekar,Sharmistha Chaudhuri

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

246

Publisher

Global Collective Publishers

Published Date

ISBN 10

1954021925

ISBN 13

9781954021921

Book's by Sharmistha Chaudhuri

Cheating Covid

Cheating Covid

Bengali Cinema: An Other Nation

Bengali Cinema: An Other Nation

Platform and Model Design for Responsible AI

Platform and Model Design for Responsible AI

Cheating Covid

Cheating Covid

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