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Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track

Lecture Notes in Artificial Intelligence -Band 14175

The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Tu…

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Smith

Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids

The increasing demand for energy coupled with the environmental concerns associated with fossil fuels necessitates a shift towards renewable energy sources. Solar, wind, geothermal, and hydro power offer …

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Tobias Zwingmann

Augmented Analytics

Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities. With this book, you can infuse your workflows with intelligent automation and modern …

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Carl Allchin

Data Curious

"Data has been a missing part of most academic curriculums for a long time, and we're all being affected. During challenging times, creating a data-informed culture can help you pivot quickly or prevent e…

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Anthony Sarkis

Training Data for Machine Learning

Your training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundati…

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David Ramírez

Coherence

This book organizes principles and methods of signal processing and machine learning into the framework of coherence. The book contains a wealth of classical and modern methods of inference, some reported…

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Intelligent Fractal-Based Image Analysis

Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research fi…

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Ron Itelman

Unifying Business, Data, and Code

In the modern symphony of business, each section-from the technical to the managerial-must play in harmony. Authors Ron Itelman and Juan Cruz Viotti introduce a bold methodology to synchronize your busine…

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Colleen M. Farrelly

The Shape of Data

"The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. The book focuses on practical applications rather than dense mathematical concepts, with coding examples u…

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Sofien Kaabar

Deep Learning for Finance

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on g…

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Armament, Arms Control and Artificial Intelligence

Studies in Peace and Security

Looking at a variety of armament sectors, the book examines how Artificial Intelligence (AI) impacts the fields of armament and arms control, how existing arms control measures will be affected by AI, and…

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Ramón Zatarain Cabada

Multimodal Affective Computing

This book explores AI methodologies for the implementation of affective states in intelligent learning environments. Divided into four parts, Multimodal Affective Computing: Technologies and Applications …

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Chandril Ghosh

Data Analysis with Machine Learning for Psychologists

The power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource as oil was during the industrial revolution. An upward trend in the number of research…

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