raghavendra selvan (35 resultados)

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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Condición: New. In the era of big data and even bigger machine learning models, the environmental footprint of these technologies can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs-both environmental and economic-of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI.This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. In this book, you will:Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL modelsExamine ways to break down barriers and foster a more inclusive future in AI developmentExplore strategies for cutting costs and minimizing ecological impactLearn how to balance performance with efficiency in model developmentGain proficiency in cutting-edge tools that enhance the sustainability of your AI projects.

Condición: new.

Paperback. Condición: New. In the era of big data and even bigger machine learning models, the environmental footprint of these technologies can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs-both environmental and economic-of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI.This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. In this book, you will:Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL modelsExamine ways to break down barriers and foster a more inclusive future in AI developmentExplore strategies for cutting costs and minimizing ecological impactLearn how to balance performance with efficiency in model developmentGain proficiency in cutting-edge tools that enhance the sustainability of your AI projects.

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Paperback or Softback. Condición: New. Sustainable AI: Tools for Moving Toward Green AI. Book.

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Taschenbuch. Condición: Neu. Neuware -In the era of big data and even bigger machine learning models powering the current generative AI revolution, the environmental footprint of these developments can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs--both environmental and economic--of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI. This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. - Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL models - Examine ways to break down barriers and foster a more inclusive future in AI development - Explore strategies for cutting costs and minimizing ecological impact - Learn how to balance performance with efficiency in model development - Gain proficiency in cutting-edge tools that enhance the sustainability of your AI projects Englisch.

Taschenbuch. Condición: Neu. Neuware -In the era of big data and even bigger machine learning models powering the current generative AI revolution, the environmental footprint of these developments can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs--both environmental and economic--of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI. This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. - Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL models - Examine ways to break down barriers and foster a more inclusive future in AI development - Explore strategies for cutting costs and minimizing ecological impact - Learn how to balance performance with efficiency in model development - Gain proficiency in cutting-edge tools that enhance the sustainability of your AI projects Englisch.

Paperback. Condición: New. In the era of big data and even bigger machine learning models, the environmental footprint of these technologies can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs-both environmental and economic-of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI.This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. In this book, you will:Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL modelsExamine ways to break down barriers and foster a more inclusive future in AI developmentExplore strategies for cutting costs and minimizing ecological impactLearn how to balance performance with efficiency in model developmentGain proficiency in cutting-edge tools that enhance the sustainability of your AI projects.

Taschenbuch. Condición: Neu. Neuware -In the era of big data and even bigger machine learning models powering the current generative AI revolution, the environmental footprint of these developments can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs--both environmental and economic--of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI. This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. - Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL models - Examine ways to break down barriers and foster a more inclusive future in AI development - Explore strategies for cutting costs and minimizing ecological impact - Learn how to balance performance with efficiency in model development - Gain proficiency in cutting-edge tools that enhance the sustainability of your AI projects.

Condición: New.

Paperback. Condición: new. Paperback. In the era of big data and even bigger machine learning models, the environmental footprint of these technologies can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs-both environmental and economic-of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI.This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. In this book, you will:Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL modelsExamine ways to break down barriers and foster a more inclusive future in AI developmentExplore strategies for cutting costs and minimizing ecological impactLearn how to balance performance with efficiency in model developmentGain proficiency in cutting-edge tools that enhance the sustainability of your AI projects Author Raghavendra Selvan exposes the high costs-both environmental and economic-traditional DL methods and presents practical solutions that pave the way for a more sustainable AI. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condición: Neu. Sustainable AI | Tools for Moving Towards Green AI | Raghavendra Selvan | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | O'Reilly Media | EAN 9781098155513 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Paperback. Condición: New. In the era of big data and even bigger machine learning models, the environmental footprint of these technologies can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs-both environmental and economic-of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI.This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. In this book, you will:Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL modelsExamine ways to break down barriers and foster a more inclusive future in AI developmentExplore strategies for cutting costs and minimizing ecological impactLearn how to balance performance with efficiency in model developmentGain proficiency in cutting-edge tools that enhance the sustainability of your AI projects.

Taschenbuch. Condición: Neu. Neuware -In the era of big data and even bigger machine learning models powering the current generative AI revolution, the environmental footprint of these developments can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs--both environmental and economic--of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI. This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. - Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL models - Examine ways to break down barriers and foster a more inclusive future in AI development - Explore strategies for cutting costs and minimizing ecological impact - Learn how to balance performance with efficiency in model development - Gain proficiency in cutting-edge tools that enhance the sustainability of your AI projectsLibri GmbH, Europaallee 1, 36244 Bad Hersfeld Englisch.

Taschenbuch. Condición: Neu. Neuware - In the era of big data and even bigger machine learning models powering the current generative AI revolution, the environmental footprint of these developments can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs--both environmental and economic--of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI.