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Stefan Sandfeld
Materials Data Science

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods an…

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Buch

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…

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Buch

Hojjatollah Farahani, Marija Blagojevi¿, Sara Saljoughi, Peter Watson
An Introduction to Artificial Psychology

Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional…

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Buch

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

Bla¿ ¿Krlj
From Unimodal to Multimodal Machine Learning

With the increasing amount of various data types, machine learning methods capable of leveraging diverse sources of information have become highly relevant. Deep learning-based approaches have made signif…

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Buch

Francesco Della Porta
From Satanic Mills to Machine Learning

The West brought two key changes to human endeavors: the mechanized factory system and the data processing automation. Each promoted globalization, later enabling the creation of oligopolies and causing a…

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Buch

A Guide to Applied Machine Learning for Biologists

This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and empha…

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Buch

Gareth James, Daniela Witten, Jonathan Taylor, Robert Tibshirani
An Introduction to Statistical Learning

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in f…

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Buch

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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Buch

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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Buch

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 1-2 Wochen

Buch

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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Buch

Paul A. Gagniuc
An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments

After a short introduction on the history of programming languages, this book provides step-by-step examples that are mirrored in seven programming languages, including C#, C++, Java, JavaScript, PERL, PH…

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Buch

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 (can,…

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Buch

Edward Dongbo Cui
Vectorization

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

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Buch

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-KRtkJZu1i…

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Buch

Yvar Mikhashoff - Panorama of American Piano Music

Yvar Mikhashoff (Klavier)

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4 CDs

Maria Han Veiga, François Gaston Ged
The Mathematics of Machine Learning

De Gruyter Textbook

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate stude…

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Buch

Sandar van Laan, Jared Matfess, Thomas Flock, Ann Reid
Microsoft 365 Copilot At Work

A hands-on roadmap to Microsoft's revolutionary new Copilot AI tool In Microsoft 365 Copilot at Work: Using AI to Get the Most from Your Business Data and Favorite Apps, veteran software engineer and Cop…

sofort lieferbar

Buch

Rafael Ris-Ala
Fundamentals of Reinforcement Learning

Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in …

lieferbar innerhalb 2-3 Wochen

Buch

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