Machine Learning Embedded Systems – alle Bücher

Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing

This two-volume set CCIS 2490-2491 constitutes the refereed proceedings of the Third International Conference on Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing…

lieferbar innerhalb 2-3 Wochen

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Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing

This two-volume set CCIS 2490-2491 constitutes the refereed proceedings of the Third International Conference on Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing…

lieferbar innerhalb 2-3 Wochen

Buch

Jim Dowling
Building Machine Learning Systems with a Feature Store

Get up to speed on a new unified approach to building machine learning (ML) systems with a feature store. Using this practical book, data scientists and ML engineers will learn in detail how to develop an…

lieferbar ab 16.12.2025.

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Anand Sampat, Mohamed El-Geish, Shabaz Patel
Shipping Machine Learning Systems

This book bridges the gap between theoretical machine learning (ML) and its practical application in industry. It serves as a handbook for shipping production-grade ML systems, addressing challenges often…

lieferbar ab 31.1.2026.

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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 movin…

lieferbar innerhalb 1-2 Wochen

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Tariq M Arif
Deep Learning on Embedded Systems

Comprehensive, accessible introduction to deep learning for engineering tasks through Python programming, low-cost hardware, and freely available softwareDeep Learning on Embedded Systems is a comprehensi…

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Valerii Babushkin, Arseny Kravchenko
Machine Learning System Design

From the back cover:In Machine Learning System Design: With end-to-end examples you'll find a step-by-step framework for creating, implementing, releasing, and maintaining your ML system. Every part of th…

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Machine Learning for Cyber Physical System: Advances and Challenges

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart…

lieferbar innerhalb 2-3 Wochen

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Pam Baker
Agentic AI for Dummies

An easy-to-follow guide to demystifying Agentic AI, the next step in the evolution of artificial intelligenceAgentic AI is the next big leap in artificial intelligence. Agentic systems don't just respond …

lieferbar ab 27.1.2026.

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Luca Massaron
Machine Learning for Dummies

The most human-friendly book on machine learningSomewhere buried in all the systems that drive artificial intelligence, you'll find machine learning-the process that allows technology to build knowledge b…

lieferbar ab 4.12.2025.

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Steven L. Brunton, J. Nathan Kutz
Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation…

sofort lieferbar

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Robert Osazuwa Ness
Causal AI

From the back cover:Causal AI teaches you how to build machine learning and deep learning models that implement causal reasoning. Discover why leading AI engineers are so excited by causal reasoning, and …

lieferbar innerhalb 1-2 Wochen

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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

From the back cover:Advanced Analytics for Business teaches you to train insightful machine learning models on common tabular data such as spreadsheets, databases, and logs. It covers classic machine lear…

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Proceedings of The Fifth France's International Conference on Complex Systems (FRCCS 2025)

Foundations of Complex Systems.- Complex Networks.- Engineering Systems and Systems of Systems.- Social Complexity.

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Janna Lipenkova
The Art of AI Product Development

A hands-on guide for delivering value with AI-driven products! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation.The Art of AI Product Development offers …

lieferbar innerhalb 1-2 Wochen

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Rita Okonkwo
Growth Engineering

Build software that users actually use with proven growth-oriented software development strategiesIn Growth Engineering: How to Build Systems That Drive Product Success in an AI-Driven World, experienced …

lieferbar ab 14.4.2026.

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John Hawkins
Data Science First

Proven, practical techniques for integrating language models into your data science workflowsData Science First: Using Language Models in AI-Enabled Applications, by Intersect AI's Chief AI Officer John H…

lieferbar ab 7.4.2026.

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Chris Minnick
A Developer's Guide to Integrating Generative AI Into Applications

Create, implement, and scale commercially successful generative AI applications that solve real-world problemsIn A Developer's Guide to Integrating Generative AI into Applications, software developer, tec…

lieferbar ab 3.3.2026.

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Asmaa Ibrahim
Making AI Work for People

Design AI applications that inspire trust, solve real problems, and put people firstMaking AI Work for People: A Framework for Designing and Building Impactful AI-Powered Applications by Asmaa Ibrahim off…

lieferbar ab 14.4.2026.

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Renaldi Gondosubroto
Using Amazon Bedrock

A from-scratch roadmap to building generative AI solutions on AWS with Amazon BedrockIn Using Amazon Bedrock: Learn to Architect, Secure and Optimize Generative AI Applications on AWS, accomplished Softwa…

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