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Vadim Smolyakov
Machine Learning Algorithms in Depth

Machine Learning Algorithms in Depth dives deep into the 'how' and the 'why' of machine learning algorithms. For each category of an algorithm, you will go from math-first principles to hands-on implement…

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Machine Learning Algorithms

This book constitutes the refereed proceedings of the First International Conference on Machine Learning Algorithms, ICMLA 2024, held in Himachal Pradesh, India, during February 23¿24, 2024.The 23 full pa…

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Shaofeng Li, Xuemin Shen (Sherman), Wen Wu, Haojin Zhu
Backdoor Attacks against Learning-Based Algorithms

This book introduces a new type of data poisoning attack, dubbed, backdoor attack. In backdoor attacks, an attacker can train the model with poisoned data to obtain a model that performs well on a normal …

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Optimization, Learning Algorithms and Applications

This two-volume set, CCIS 2280 and CCIS 2281, constitutes the proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024, held in Tenerife, Spain, in …

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Optimization, Learning Algorithms and Applications

This two-volume set, CCIS 2280 and CCIS 2281, constitutes the proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024, held in Tenerife, Spain, in …

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Alvaro Rocha, Fadele Ayotunde Alaba
Malware Detection on Smart Wearables Using Machine Learning Algorithms

This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the…

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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…

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Kinky
Exploring Optimization Algorithms in Machine Learning: From Theory to Practice

Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descen…

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Edward Dongbo Cui
Vectorization

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problemsOffering insights across various domains such as com…

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Antti Laaksonen
Guide to Competitive Programming

This textbook features new material on advanced topics, such as calculating Fourier transforms, finding minimum cost flows in graphs, and using automata in string problems. Critically, the text accessibly…

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Christina Berns
Die Gouvernementalität von Algorithmen

¿Die digitale Transformation ist eine Einbahnstraße in ein kybernetisches Zeitalter. Intelligente Maschinen nehmen den Menschen dort als steuernde Kraft allmählich das Zepter aus der Hand.¿Der Einzug präd…

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Mazin A. M. Al Janabi
Liquidity Dynamics and Risk Modeling

This book presents a high-quality contribution to the applications of modern financial algorithms for liquidity risk management and its practical uses and applications to investable portfolios and mutual …

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Federated Learning for Medical Imaging

Federated Learning for Medical Imaging: Principles, Algorithms, and Applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the al…

lieferbar ab 16.6.2025.

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Hang Wang, Junshan Zhang, Sen Lin
Continual and Reinforcement Learning for Edge AI

This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance …

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Inga Lexow
Coding Robots - Wie Kinder Algorithmen entwickeln

BestMasters

In modernen Gesellschaften sind Algorithmen allgegenwärtig und beeinflussen nahezu jeden Aspekt des täglichen Lebens. Von der Reihenfolge der Suchergebnisse im Internet bis hin zur Optimierung von Routen …

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Elliot Lichtman
The Computer Always Wins

"The Computer Always Wins is a joyful and accessible introduction to computer science, with the key ideas framed through the lens of board games and strategy games that readers already know"--

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Constantin Gonciulea, Charlee Stefanski
Building Quantum Software in Python

A developer-centric look at quantum computing.The demand for developers who can implement solutions with quantum resources is growing larger every day. Building Quantum Software with Python gives you the …

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Tobias Zwingmann, Willi Weber
Augmented Analytics

Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities. With this book, you can infuse your workflows with intelligent automation and modern …

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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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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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