Data And Information Visualization – alle Bücher, Seite 3

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Suhas Pai
Designing Large Language Model Applications

Transformer-based language models are powerful tools for solving a variety of language tasks and represent a phase shift in the field of natural language processing. But the transition from demos and prot…

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Elisa Farri, Gabriele Rosani
HBR Guide to Generative AI for Managers

How to use gen AI to save time, innovate faster, and lead effectively. You're probably aware that generative AI can output quality text in any style and create stunning images in seconds. But smart manage…

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Kevin Padraic Donnelly
The Descent of Artificial Intelligence

A Radically Different History of AI Spanning Four Centuries of Research on Human Intelligence and Behavior

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Susan Shu Chang
Machine Learning Interviews

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically f…

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Vijay Govindarajan: Fusion Strategy, Buch

Vijay Govindarajan, Venkat Venkatraman
Fusion Strategy

"Tech giants like Facebook, Amazon, and Google can collect real-time data from billions of users. For companies that design and manufacture physical products, that type of fluid, data-rich information use…

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Robert Crowe: Machine Learning Production Systems, Buch

Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu
Machine Learning Production Systems

Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting--especially for recent ML graduates and those moving from…

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Gwendolyn Stripling, Michael Abel
Low-Code AI

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using…

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Steve Wilson
The Developer's Playbook for Large Language Model Security

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Autho…

lieferbar ab 15.10.2024.

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Christopher M. Bishop: Deep Learning, Buch

Christopher M. Bishop, Hugh Bishop
Deep Learning

This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Coveri…

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Zontee Hou
Data-Driven Personalization

Your customers expect highly personalized experiences. Discover exactly how to deliver by collecting the right data and crafting messages that tap into behavioral psychology.

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Kerrie Holley: Llms and Generative AI for Healthcare, Buch

Kerrie Holley, Manish Mathur
Llms and Generative AI for Healthcare

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and pe…

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Nitin Seth
Mastering the Data Paradox

There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling…

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Madhumita Murgia
Code Dependent

SHORTLISTED FOR THE WOMEN'S PRIZE FOR NON-FICTION 2024 What does it mean to be human in a world that is rapidly changing with the development of artificial intelligence? ?Highly readable and deeply impo…

lieferbar ab 6.3.2025.

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Austin Parker: Learning OpenTelemetry, Buch

Austin Parker, Ted Young
Learning OpenTelemetry

OpenTelemetry is a revolution in observability data. Instead of running multiple uncoordinated pipelines, OpenTelemetry provides users with a single integrated stream of data, providing multiple sources o…

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