£145.99

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£146 today · previous high £146 · all-time low £127

Elsevier Fundamentals of Cost-Efficient AI in Healthcare and Biomedicine

Amazon

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£145.99 £124.76 £129.39 £134.02 £138.66 £143.29 £147.92 30 July 2026 15 August 2026 01 September 2026 17 September 2026 04 October 2026
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Price distribution over 67 days • 2 price levels

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64 days 3 days · current 0 16 32 48 64 £127 £146 Days at Price

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Most common price: £127 (64 days, 95.5%)

Price range: £127 - £146

Price levels: 2 different prices over 67 days

Description

Fundamentals of Cost-Efficient AI: In Healthcare and Biomedicine from Academic Press delivers a comprehensive introduction to designing, training, and deploying efficient artificial intelligence systems for medical and biomedical applications. This accessible guide explores cost-aware machine learning and data mining theory whilst examining practical methods across deep learning, graph neural networks (GNNs), transformer architectures, diffusion models, reinforcement learning, and knowledge distillation. The book details fine-tuning and compression techniques including low-rank adaptation (LoRA) and parameter-efficient fine-tuning (PEFT), providing healthcare professionals and biomedical engineers with the tools to implement AI solutions that balance performance with resource constraints and operational efficiency.

Key Features

Fundamentals of Cost-Efficient AI covers deep learning, graph neural networks, and transformer architectures for healthcare applications.

The book explores compression techniques such as low-rank adaptation (LoRA) and parameter-efficient fine-tuning (PEFT) for optimised model deployment.

Academic Press provides methods for knowledge distillation, reinforcement learning, and diffusion models in biomedical contexts.

Readers gain practical understanding of cost-aware machine learning and data mining principles applicable to real-world healthcare systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
16 December 2025
Listed Since
19 July 2024

Barcode

No barcode data available

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