Machine To Machine Learning (M2M) – alle Bücher, CDs und LPs, Seite 4

Quantum Machine Learning

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode …

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Ben Greenberg
Vector Search with JavaScript

Cut through the complexity and apply AI-driven vector search strategies to deliver smarter, more intuitive search experiences that keep users engaged.Make search results smarter and more useful for everyd…

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Stefan Papp
Investing for Programmers

Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and generative AI.Investing for Programmers shows you how you can turn your existing skills as a programmer…

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Machine Learning for Networking

.- Learning per-flow SD-WAN load-balancing policies. .- Survey on Federated Learning in Smart Healthcare. .- Complex Communication Networks Management with Distributed AI:Challenges and Open Issues. .- A …

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Christophe Gaillac, Jérémy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

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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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Advancements in Machine Learning

This CCIS 2538 volume constitutes the proceedings of First and Second International Conference on Advancements in Machine Learning, ICCAML 2024, in Pune, India, during February 28--29, 2024.The 19 full pa…

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Machine Learning in Finance

This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pac…

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Christophe Gaillac, Jeremy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

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Pedagogies of Machine Learning

Die vierte Ausgabe von Schools of Departure widmet sich der Technologie in der Gestaltungs- bildung jenseits des Bauhauses: In der zweiten Hälfte des 20. Jahrhunderts erfasste eine Kybernetisierungswelle …

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Rasit Dinc
Machine Learning for Healthcare

Authored by a leading voice in the field, Machine Learning for Healthcare provides a gateway to revolutionize the understanding of medicine and patient care. The book unlocks the secrets of clinical data,…

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Mariano Mattei
Data-Driven Cybersecurity

Measure, improve, and communicate the value of your security program.Every business decision should be driven by data---and cyber security is no exception. In Data-Driven Cybersecurity , you'll master the…

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Data Protection

This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. It investigates the interface of data pr…

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Vazgen Melikyan
Machine Learning-based Design and Optimization of High-Speed Circuits

This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between e…

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Parteek Bhatia
Machine Learning with Python

"Machine learning (ML) has become a dominant problem-solving technique in the modern world, with applications ranging from search engines and social media to self-driving cars and artificial intellig…

lieferbar ab 31.12.2025.

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Machine Learning, Deep Learning, and Blockchain

This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 28--29, 202…

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Nick Durkin, Eric Minick, Chinmay Gaikwad
Ai-Native Software Delivery

AI coding assistants are helping teams create software faster than ever. But to turn that speed into real innovation, organizations must go beyond writing code and deliver software quickly, securely, and …

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John Berryman, Albert Ziegler
Prompt Engineering for LLMs

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to u…

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Milind Sharma
The Quantamental Revolution

A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniquesIn The Quantamental Revolution: Factor Investing in th…

lieferbar ab 17.3.2026.

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Advancing Healthcare Through Decision Intelligence

Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intelligence - specifically machine…

lieferbar in mind. 4 Wochen

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