Machine Learning (ML) – alle Bücher

Kristen Kehrer, Caleb Kaiser
Machine Learning Upgrade

An end-to-end framework for developing Large Language Model (LLM)-based applicationsTraditionally, there has been a divide between data scientists and software engineers. With the advent of LLMs, however,…

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Laurence Moroney
AI and ML for Coders in PyTorch

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for progra…

lieferbar ab 31.7.2025.

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Machine Learning for Networking

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 7.9.2025.

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AI and ML Techniques in Iot-Based Communication

An insightful and up-to-date discussion of how to use contemporary IoT and AI technology to advance sustainable development initiativesIn AI and ML Techniques in IoT-based Communication: A Path to Sustain…

lieferbar ab 26.11.2025.

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Hybride KI mit Machine Learning und Knowledge Graphs

Seit den 2010er Jahren hat die Künstliche Intelligenz (KI) durch Erfolge im Machine Learning (ML) einen enormen Schub erfahren. Einerseits durch die stark angewachsene Menge verfügbarer digitaler Daten un…

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Applications of Computational Learning and IoT in Smart Road Transportation System

This book discusses machine learning and AI in real-time image processing for road transportation and traffic management. There is a growing need for affordable solutions that make use of cutting-edge tec…

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Artificial Intelligence

Intelligent Computing - Band 1

Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the theory and practical applications of computer science me…

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Le Liang, Shi Jin, Hao Ye
Wireless Communications and Machine Learning

This concise single-semester textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications. Requiring no previous knowledge of ML, it includes over 2…

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Machine Learning for Cyber Security

This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and secur…

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Samuel Ackerman, Guy Barash, Onn Shehory, Orna Raz
Theory and Practice of Quality Assurance for Machine Learning Systems

This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that includ…

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Agri-informatics and Eco-friendly Innovations for a Secure Food Future

Food security is a critical global challenge, aiming to provide sufficient and healthy food for all. The United Nations has set Sustainable Development Goals (SDGs) to achieve global prosperity while ensu…

lieferbar ab 14.10.2025.

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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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Navigating the Nexus

This book encompasses updated information as well as future directions for researchers working in the fields of environmental science, water resource engineering, and agricultural science.Navigating the N…

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The Future of Accounting and Finance

The integration of cutting-edge technologies -- such as Artificial Intelligence (AI) and Machine Learning (ML) -- combined with a growing emphasis on sustainability and the Sustainable Development Goals (…

lieferbar ab 9.11.2025.

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Innovations in Machine and Deep Learning

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and …

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Tek Raj Chhetri
Improving Decision Making Using Semantic Web Technologies

As technology becomes integral to our lives, its influence on decision making in smart cities, healthcare, and manufacturing is undeniable. However, challenges such as limited contextual awareness, domain…

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Applying Machine Learning in Science Education Research

This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research proj…

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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 31.7.2025.

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The Impact of Algorithmic Technologies on Healthcare

The book explores the fundamental principles and transformative advancements in cutting-edge algorithmic technologies, detailing their application and impact on revolutionizing healthcare.This book provid…

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Yuhan Kang, Zhu Han, Hao Gao
Mean Field Guided Machine Learning

This book explores the integration of Mean Field Game (MFG) theory with machine learning (ML), presenting both theoretical foundations and practical applications. Drawing from extensive research, it provi…

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