Learning Algorithms – alle Bücher, Seite 2

Jeff Edmonds
How to Think about Algorithms

"The second edition of this student-friendly textbook now includes over 150 new exercises, key concept summaries and a chapter on machine learning algorithms. Its approachability and clarity make it …

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Deep Learning for Personalized Healthcare Services

This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop…

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Ruye Wang
Introduction to Machine Learning

"Explore how and why machine learning algorithms work with this self-contained, hands-on textbook for senior undergraduate and graduate students. Using Matlab and Python, it includes over 85 worked e…

lieferbar ab 31.7.2025.

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Theoretical Aspects of Computing - ICTAC 2024

This book constitutes the refereed proceedings of the 21st International Colloquium on Theoretical Aspects of Computing, ICTAC 2024, held in Bangkok, Thailand, during November 25¿29, 2024.The 21 full pape…

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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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Artificial General Intelligence

This book constitutes the refereed proceedings of the 18th International Conference on Artificial General Intelligence, AGI 2025, held in Reykjavic, Iceland in August 2025.The 72 full papers included in t…

lieferbar ab 4.9.2025.

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Artificial General Intelligence

This book constitutes the refereed proceedings of the 18th International Conference on Artificial General Intelligence, AGI 2025, held in Reykjavic, Iceland in August 2025.The 72 full papers included in t…

lieferbar ab 3.9.2025.

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Ali Asghar Firoozi, Ali Akbar Firoozi
Revolutionizing Civil Engineering with Neuromorphic Computing

This book delves into the transformative potential of neuromorphic computing within the realm of civil engineering, emphasizing its role in advancing smart infrastructure systems. Neuromorphic computing, …

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Sherif Moussa, Ziad El-Khatib
Wireless Communication Using Deep Learning Techniques for Neuromorphic VLSI Computing

This book describes Deep Learning-based architecture design for intelligent wireless communication systems and specifically for Deep Learning-based receiver design. Deep Learning-based architecture design…

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Artificial Neural Networks in Pattern Recognition

This book constitutes the refereed proceedings of the 11th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2024, held in Montreal, QC, Canada, during October 10¿12, 2024.The …

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Matthias Schonlau
Applied Statistical Learning

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical lea…

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Azhar Ul Haque Sario
Stock Price Predictions

This comprehensive guide explores stock market prediction models, catering to both novice and seasoned investors. It provides detailed explanations of traditional and modern approaches, including Fundamen…

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Maya
Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More

Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More explores groundbreaking advancements in identifying nuanced speaker states beyond traditional emotions. This resear…

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Iqbal H. Sarker
AI-Driven Cybersecurity and Threat Intelligence

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only o…

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Sunil Gupta, Sanjoy Kumar Debnath, Monit Kapoor
Artificial Intelligence-Enabled Security for Healthcare Systems

The book "AI-Enabled Healthcare Security: Safeguarding Patient Data and Improving Outcomes" focuses on the role of artificial intelligence in enhancing healthcare security and improving patient …

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Cyber Malware

This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware. The book equips readers with the necessary knowledge and techniques to successfull…

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Harnessing Automation and Machine Learning for Resource Recovery and Value Creation

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Valueprovides a comprehensive understanding of how automation and machine learning technologies can be us…

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Generative AI and LLMs

Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing c…

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Analytics Modeling in Reliability and Machine Learning and Its Applications

This book presents novel research and application chapters on topics in reliability, statistics, and machine learning. It has an emphasis on analytical models and techniques and practical applications in …

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Anthony Elliott
Algorithms of Anxiety

Machine learning algorithms are widely presumed to herald a world in which the crippling burdens of anxiety can be left behind. The digital revolution promises a brave new world where individuals, communi…

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