Machine Learning For AD Systems – alle Bücher und CDs, Seite 3

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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…

lieferbar in mind. 4 Wochen

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Anupam Bagchi, Pramod Gupta
Essentials of Python for Artificial Intelligence and Machine Learning

This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python's advanced module features and apply …

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Harnessing AI, Machine Learning, and IoT for Intelligent Business

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

Part 1 Laying the Foundation.- Chapter 1 Introduction.- Chapter 2 Understanding AI and Machine Learning for Public Health.- Chapter 3 Getting Started with RStudio and ChapGPT.- Part 2 Machine Learning Tec…

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Harnessing AI, Machine Learning, and IoT for Intelligent Business

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

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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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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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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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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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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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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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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