Machine Learning For Complex Systems – alle Bücher und CDs, Seite 4

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Analytical and Approximate Methods for Complex Dynamical Systems

This book presents Analytical and Approximate Methods for Complex Dynamical Systems and introduces ideas of discontinuous mapping treated as complex dynamical systems. Mathematicians of world-recognized U…

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Nan Chen
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

This second edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. Expanding upon the original book, the author covers …

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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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Bosen Lian, Wenqian Xue, Bahare Kiumarsi, Hamidreza Modares
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games

Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with brea…

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Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 14th International Conference

Forecasting and AI-Powered Exploration of Student choices across differents types of Mathematics in Pre-University School.- Computerized Dynamic Assessment for Pragmatic Competence in Second Language Lear…

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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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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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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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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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…

Erscheint bald

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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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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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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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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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Shallow Learning vs. Deep Learning

This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep lear…

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Pascal Pieper, Rolf Drechsler
Formal and Practical Techniques for the Complex System Design Process using Virtual Prototypes

This book deals with formal and practical approaches for early fast modeling and verification of complex digital processor hardware and software using SystemC-based virtual prototypes. As a special focus,…

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Shoshana Rosenberg
Practical AI Governance

Organizations of all sizes are increasing their investment in AI products, tools and developments. However, these transformative technologies come with significant risks and challenges. This actionable gu…

lieferbar ab 26.5.2026.

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