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Prashad
Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

lieferbar innerhalb 2-3 Wochen

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Andreas Tilevik
Multivariate Statistics and Machine Learning in R For Beginners

This book is more than just a book -- it is a full course designed as an interactive guide for beginners in multivariate analysis. Combining theoretical videos with practical examples in R, it offers read…

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Harnessing AI, Machine Learning, and IoT for Intelligent Business

Studies in Systems, Decision and Control - Band 550

This book addresses the growing need for understanding the practical implications of these technologies in the context of financial management. The convergence of AI, ML, and IoT has revolutionized variou…

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Ricky Leung
Leveraging GenAI for Machine Learning Education in Public Health

This book explores how ChatGPT, as a generative AI (Gen-AI) platform, can support education, research, and skill development in artificial intelligence (AI) and machine learning (ML) for public health app…

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Harnessing AI, Machine Learning, and IoT for Intelligent Business

Studies in Systems, Decision and Control - Band 555

This book is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. T…

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2 Bücher

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Lecture Notes in Computer Science - Band 16166

This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon,…

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Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held du…

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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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Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 15th International Conference

Lecture Notes in Networks and Systems - Band 1799

This book includes the accepted papers of the four selected workshops that focus on Integration of Emerging Technologies into Education and Training (ETELT), Interactive Environments and Emerging Technolo…

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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-a…

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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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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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Maria Vechtomova
MLOps with Databricks

MLOps engineers have to deal with a glut of tools and SaaS applications, not to mention technical debt clogging the system. Such complexity requires a comprehensive approach. The Databricks Platform provi…

lieferbar ab 29.9.2026.

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Julia Bello-Bravo, Anne Namatsi Lutomia, John William Medendorp, Barry Robert Pittendrigh
The Right to Knowledge

This empirically researched and grounded book presents a learning-systems approach for mass-scalable educational content ultimately intended for use across any language, literacy level, culture, or digita…

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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…

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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.

Buch

Nicole Koenigstein
AI Agents: The Definitive Guide

As AI agents move from research labs into production, engineering teams face mounting challenges--fragile tools, rising inference costs, erratic behavior, and unmet expectations. AI Agents: The Definitive…

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