Introduction To Machine Learning – alle Bücher

Ruye Wang
Introduction to Machine Learning

Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level im…

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Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Introduction to Machine Learning with Security

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and…

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R Kelly Rainer
Introduction to Artificial Intelligence and Machine Learning, with eBook Access Code

Helps students unlock the power of AI and Machine Learning to achieve business success and future-proof their careersArtificial intelligence and machine learning are transforming the modern workplace, mak…

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Marcus J. Neuer
Machine Learning for Engineers

Machine learning and artificial intelligence are ubiquitous terms for improving technical processes. However, practical implementation in real-world problems is often difficult and complex.This textbook e…

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Mehrdaad Ghorashi
Introduction to Machine Dynamics

This book introduces machine dynamics, an essential competency important for many applications such as designing robots for manufacturing/materials handling or the landing gear of an airplane, analyzing t…

lieferbar ab 12.11.2025.

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From Machine Learning to Artificial Intelligence

The world is on a cusp of something great. Technology has advanced from solving simple issues to complex issues in both human life and other aspects such as social, economic, and environmental issues. The…

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2 Bücher

Laura Mostert, Roy Lindelauf, V. S. Subrahmanian, Marnix Provoost
Machine Learning Techniques to Predict Terrorist Attacks

One of the most influential actors in spreading Islamist violence across the Sahel is Jama'at Nasr Al Islam Wal Muslimin (JNIM).This book provides the first systematic quantitative analysis of JNIM's beha…

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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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Sanam
Machine Learning for Missing Maps: A Collaboration to Improve Disaster Relief

Disaster strikes, but where's the map? Traditional maps often lack details in vulnerable areas. Here's where machine learning (ML) and a collaborative project called Missing Maps team up to improve disast…

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Francisco Chinesta, Angelo Pasquale, Dominique Baillargeat, Elías Cueto
A Gentle Introduction to Data, Learning, and Model Order Reduction

Abstract.- Extended summary.- Part 1.Around Data.- Part 2.Around Learning.- Part 3. Around Reduction.- Part 4. Around Data Assimilation & Twinning.

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Crowd Dynamics, Volume 5

Modeling and Simulation in Science, Engineering and Technology

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineeri…

lieferbar ab 11.12.2025.

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Jeremy Budd, Yves van Gennip
Differential Equations and Variational Methods on Graphs

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

lieferbar ab 28.2.2026.

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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…

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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…

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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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Nico Michaelis
Dyslexia reading and writing disability

Self-Study including control questions and answers. Introduction to learning therapy Volume 1.Units 11 on 206 pages.You can find a detailed sample here: https://drive.google.com/file/d/1-KRtkJZu1i4llo4qDx…

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Albert Barnes
A Manual of Prayer: Designed to Assist Christians in Learning the Subjects and Modes of Devotion, with an Introduction by A. Barnes

Reprint of the original, first published in 1838. The Antigonos publishing house specialises in the publication of reprints of historical books. We make sure that these works are made available to the pub…

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Albert Barnes
A Manual of Prayer: Designed to Assist Christians in Learning the Subjects and Modes of Devotion, with an Introduction by A. Barnes

Reprint of the original, first published in 1838. The Antigonos publishing house specialises in the publication of reprints of historical books. We make sure that these works are made available to the pub…

lieferbar innerhalb 2-3 Wochen

Buch

Anna Dawid, Alexandre Dauphin, Julian Arnold
Machine Learning in Quantum Sciences

This book provides an accessible introduction to machine learning and demonstrates its applications in the quantum sciences. Readers will be equipped with the necessary tools to engage with emerging liter…

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