Machine Learning Models – alle Bücher, LPs und CDs, Seite 2

Advances in Smart Computing and Applications

AI Enabled Human Action Recognition..- Enhanced Date Fruit Classification with a Novel One-Dimensional Convolutional Neural Network..- Accuracy Improvement of Fish Counting in Sonar Images using Deep Lear…

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Pan-African Artificial Intelligence and Smart Systems

.- Artificial Intelligence Theory and Methods..- Scalable XAI: Towards Explainable Machine Learning Models in Distributed Systems..- An Ensemble of Yolov5 Models in Real-time Object Detection in Low Resou…

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Prafful Mishra
A Guide to Implementing MLOps

Over the past decade, machine learning has come a long way, with organisations of all sizes exploring its potential to extract valuable insights from data. However, despite the promise of machine learning…

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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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Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya
Build a Machine Learning Platform (from Scratch)

Get your machine learning models out of the lab and into production!Delivering a successful machine learning project is hard. Build a Machine Learning Platform (From Scratch) makes it easier. In it, you'l…

lieferbar ab 25.11.2025.

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Martin Unterberg
Data-driven Indirect Tool Condition Monitoring in Sheet-metal Stamping

This dissertation introduces a framework for indirect tool condition monitoring in sheet-metal stamping using acoustic emission signals. Analysis of 398,047 fineblanking strokes from industrial and labora…

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Artyom M Grigoryan, Sos S Agaian
Quantum Image Processing in Practice

Comprehensive resource addressing the need for a quantum image processing machine learning model that can outperform classical neural networksQuantum Image Processing in Practice explores the transformati…

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Data-Driven Diagnostics and Disease Prediction with AI Optimization

Data-Driven Diagnostics and Disease Prediction with AI Optimizationprovides useful insights into model creation, data preparation, and ethical issues for healthcare applications. The book covers all the c…

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Buch

Roi Yehoshua
Machine Learning Foundations

The Essential Guide to Machine Learning in the Age of AIMachine learning stands at the heart of today's most transformative technologies: advancing scientific discovery, reshaping industries, and transfor…

lieferbar ab 17.1.2026.

Buch

Shixia Liu, Jun Yuan, Junpeng Wang, Weikai Yang
Visualization for Artificial Intelligence

This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models. It shows how visualization ca…

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Manuel Moura, Rui Neves
Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies

This book develops a quantitative stock market investment methodology using financial indicators that beats the benchmark of S&P500 index. To achieve this goal, an ensemble of machine learning models …

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1st IFMBE Latin American Conference on Digital Health

This book reports on the latest research and developments in Biomedical Engineering, with a special emphasis on topics of interest and findings achieved in Latin America. It covers applications of artific…

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Meng Ji, Michael Oakes
Multilingual Environmental Communications

Based on real-life case studies, this book provides an empirical study of the linguistic accessibility of environmental information for people from diverse language, cultural, and educational backgrounds.…

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Computational Intelligence in Data Science

.- Computer Vision for Real World Applications..- AI-Enhanced breast cancer diagnosis (BCD) using machine learning models with GA-SA Hybrid..- Efficient Medicinal Plant Leaf Classification Using MobileNet…

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Winkel Tobias
Pedestrian Safety Analysis And Countermeasures

This book is about investigating pedestrian safety by analyzing crash risks in specific, less-studied locations: non-intersection areas, high-speed roadways, and interstate highways. It addresses the sign…

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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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Peter Hense, Tea Mustac
AI Act compact

The EU AI Act is here, and contrary to popular opinion, it is not just Europe's problem. As the first comprehensive law to regulate AI systems, the AI Act attempts to establish a global framework, setting…

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Proceedings of the 4th Annual International Conference on Material, Machines, and Methods for Sustainable Development (MMMS2024)

1.Formation maneuver of wheeled mobile robots based on attitude estimation.- 2.Analyze the Reasonableness of the Testing Velocity Value in Headform Impactor to Bonnet Top Tests.- 3.A Design of Obstacle Av…

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Sandhya Vinayakam, A. Lakshmi Muddana
Python for Data Science

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science. This book aims to help the readers understand the basic and advanced concep…

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Applied Computer Sciences in Engineering

.- Artificial Intelligence..- Term Structure of Crude Oil Futures Prices with Kolmogorov--Arnold Networks: A Nonlinear Extension of the Diebold--Li Model..- What Makes a 7 a 7? Exploration into a Neural N…

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