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…

lieferbar innerhalb 2-3 Wochen

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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…

lieferbar innerhalb 2-3 Wochen

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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…

lieferbar in mind. 4 Wochen

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Gordana Jovanovic Dolecek
MATLAB Random Signals and Processes Primer

This book offers a clear and intuitive approach to the world of random signals and processes, relating them with fundamental statistics and machine learning techniques---all through the lens of MATLAB. It…

lieferbar ab 3.6.2026.

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Stefan Sandfeld
Materials Data Science

Introduction to Data, Data Mining, and Prediction in Materials Science.- A Primer on Probabilities, Distributions and Statistics.- Introduction to Statistical Machine Learning.- Artificial Neural Networks…

lieferbar innerhalb 2-3 Wochen

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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 innerhalb 2-3 Wochen

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Laura Mostert, Roy Lindelauf, Chiara Pulice, Marnix Provoost
Machine Learning Techniques to Predict Terrorist Attacks

Chapter 1 Introduction.- Chapter 2 Jama'at Nasr al-Islam wal Muslimin (JNIM).- Chapter 3 Temporal Probabilistic Rules and Policy Computation Algorithms.- Chapter 4 Abduction and Release of Abductees.- Cha…

lieferbar innerhalb 2-3 Wochen

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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…

lieferbar innerhalb 2-3 Wochen

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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…

lieferbar innerhalb 2-3 Wochen

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David A Wood
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for su…

lieferbar innerhalb 2-3 Wochen

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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.

lieferbar innerhalb 2-3 Wochen

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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…

lieferbar innerhalb 2-3 Wochen

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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 30.4.2026.

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Maria Vechtomova
MLOps with Databricks

MLOps engineers have to deal with a glut of tools and SaaS applications, not to mention technical debt clogging the system. Such complexity requires a comprehensive approach. The Databricks Platform provi…

Erscheint bald

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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…

sofort lieferbar

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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…

lieferbar innerhalb 1-2 Wochen

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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…

lieferbar innerhalb 2-3 Wochen

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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

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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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