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…

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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

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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…

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Mohamed El-Geish, Shabaz Patel, Anand Sampat
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…

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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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Jay Kumar Pandey,
Machine Learning Based Air Traffic Surveillance System Using Image Processing

Machine Learning Based Air Traffic Surveillance System Using Image Processing analyses how advanced machine learning algorithms and image processing technologies are revolutionising air-traffic management…

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Computational Optimization

Mathematical Methods in the Digital Age

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, inc…

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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 …

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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…

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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 …

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Harriet Farlow
Practical AI Security

Break AI Systems. Then Secure Them.If you're a security practitioner learning to operate in AI environments, or an ML engineer who needs to understand what adversaries actually do, Practical AI Security g…

lieferbar ab 9.6.2026.

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Nicholas Kelly
The AI-driven Data Team

Rapidly transform your analytics teams to deliver AI-driven insights.The AI-driven Data Team by Nicholas Kelly is a proven-to-work playbook for data and analytics leaders who want to align analytics capab…

lieferbar ab 3.7.2026.

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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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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 21.4.2026.

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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 …

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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…

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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…

lieferbar in mind. 4 Wochen

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John Paul Mueller, 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…

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Tom Taulli
AWS Certified AI Practitioner (Aif-C01) Study Guide

AI is transforming industries, and cloud-based AI expertise is in high demand. This study guide is your essential resource for mastering foundational AI concepts and AWS tools while preparing for the AIF-…

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