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Tarkeshwar Barua
Machine Learning with Python

De Gruyter STEM

This book explains how to use the programming language Python to develop machine learning and deep learning tasks.

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Ilse Depraetere, Thierry Hamon, Clemens Hufeld, Benoît Leclercq
Models of Modals

Modal verbs in English communicate delicate shades of meaning, there being a large range of verbs both on the necessity side (must , have to , should , ought to , need , need to ) and the possibility side…

lieferbar innerhalb 2-3 Wochen

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Protecting and Mitigating Against Cyber Threats

The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of toda…

lieferbar innerhalb 2-3 Wochen

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Transforming Agricultural Management for a Sustainable Future

"Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives" is an essential read for anyone interested in the future of agriculture and the …

lieferbar innerhalb 2-3 Wochen

Buch

Florent Poux
3D Data Science with Python

Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it, our data must be 3D too. This practical guide offers data scientists, engineers, and re…

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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 …

lieferbar ab 15.10.2025.

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Sebastian Raschka
Build a Large Language Model (from Scratch)

From the back cover:Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM librarie…

lieferbar innerhalb 1-2 Wochen

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Machine Learning for Networking

Lecture Notes in Computer Science - Band 15540

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning for Networking, MLN 2024, held in Reims, France, during November 27--29, 2024.The 14 full papers pres…

lieferbar ab 3.10.2025.

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Nicolas Privault
Discrete Stochastic Processes

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (…

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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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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…

lieferbar ab 9.9.2025.

Buch

Nasir Salari
Advanced Marketing Analytics

Through theory and data-driven techniques this postgraduate textbook will help advanced students turn their marketing data into practical insights.

Erscheint bald

Buch

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…

lieferbar innerhalb 2-3 Wochen

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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 31.8.2025.

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Machine Learning for Astrophysics

This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters all…

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Gerald Friedland
Information-Driven Machine Learning

This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field.Stemming from a UC Berkeley seminar on experim…

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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…

lieferbar innerhalb 2-3 Wochen

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Eduardo Bayro-Corrochano
Geometric Algebra Applications Vol. III

The goal of Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing is to present a unified mathematical treatment of diverse problems in the general domain l…

lieferbar innerhalb 2-3 Wochen

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