Machinelearning – Bücher, LPs, CDs und mehr, Seite 3

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4

Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science , Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental an…

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Sean Moriarity
Machine Learning in Elixir

Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in …

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Rasit Dinc
Machine Learning for Healthcare

Authored by a leading voice in the field, Machine Learning for Healthcare provides a gateway to revolutionize the understanding of medicine and patient care.

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Shallow Learning vs. Deep Learning

This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep lear…

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Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machin…

lieferbar ab 1.9.2025.

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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

From the back cover:Advanced Analytics for Business teaches you to train insightful machine learning models on common tabular data such as spreadsheets, databases, and logs. It covers classic machine lear…

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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 in Molecular Sciences

Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. Thi…

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Machine Learning for Causal Inference

This book provides a deep understanding of the relationship between machine learning and causal inference. It covers a broad range of topics, starting with the preliminary foundations of causal inference,…

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Nathalie Japkowicz, Zois Boukouvalas
Machine Learning Evaluation

As machine learning applications gain widespread adoption and integration in a variety of applications, including safety and mission-critical systems, the need for robust evaluation methods grows more urg…

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Artificial Intelligence and Machine Learning in Sports Science

This professional book is one of the first book publications providing a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science rese…

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Steven W Knox
Machine Learning

"The goal of statistical data analysis is to extract the maximum information from the data, and to present a product that is as accurate and as useful as possible. - David W. Scott, Multivariate Dens…

lieferbar ab 31.12.2025.

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Eklas Hossain
Machine Learning Crash Course for Engineers

¿Machine Learning Crash Course for Engineersis a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book …

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Machine Learning in Finance

This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pac…

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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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Christophe Gaillac, Jeremy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

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Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

Computation, Optimization, and Machine Learning in SeismologyThe goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these models with observations…

lieferbar ab 17.9.2025.

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Du¿an Stipanovi¿
Difference Equations and Machine Learning

This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning. In addition, the author provides novel technical analyses of behaviors of discrete-t…

lieferbar ab 2.10.2025.

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Qiang Huang
Domain-informed Machine Learning for Smart Manufacturing

This book introduces the state-of-the-art understanding on domain-informed machine learning (DIML) for advanced manufacturing. Methods and case studies presented in this volume show how complicated engine…

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Sandeep
Beyond the Visible: Predicting Metal Breakdown with Machine Learning

Our eyes can't see the enemy within, but machine learning (ML) can! Metal looks strong, but tiny processes lead to its breakdown ¿ rust. ML goes beyond the visible, analyzing vast amounts of data to predi…

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