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Human-in-the-Loop Machine Learning

Most machine learning systems that are deployed in the world today learn from human feedback. However, most machine learning courses focus;

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Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent

machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML;

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Human and Machine Learning

human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human;

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Human Behavior Learning and Transfer

Bridging the gap between human-computer engineering and control engineering, Human Behavior Learning and Transfer delineates how to;

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Human Brain and Artificial Intelligence

This book constitutes the refereed proceedings of the Second International Workshop on Human Brain and Artificial Intelligence, HBAI 2020;

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Applied Machine Learning for Smart Data Analysis

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements;

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Computational Trust Models and Machine Learning

Defines a framework for translating a trust modeling problem into a learning problem Investigates the objectivity of human feedback, emphasizing;

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Intelligent Learning Systems

Intelligent (machine) learning is a subfield of artificial intelligence and it originates from the researches in the pattern recognition;

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Thoughtful Machine Learning

can't account for human errors in coding. Rather than blindly rely on machine-learning results as many researchers have, you can mitigate the;

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Modelling Human Motion: From Human Perception to Robot Design

, Human-Robot Interaction, Computer Vision and Machine Learning. Chapter 'The Importance of the Affective Component of Movement in Action;

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Machine Learning and Information Processing

solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT;

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ICDSMLA 2019

. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human-Computer Interaction;

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OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging

the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen;

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Machine Learning and Information Processing

This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held;

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Artificial Intelligence and Machine Learning

Dutch Machine Learning Conference, BENELEARN 2019, held in Brussels, Belgium in November 2019. The 11 papers presented in this volume were;

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Machine Learning for Vision-Based Motion Analysis: Theory and Techniques

sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to;

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Machine Learning in Bio-Signal Analysis and Diagnostic Imaging

practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the;

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Signal Processing and Machine Learning with Applications

learning and the applications.;

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Hands-On Artificial Intelligence on Amazon Web Services

solve real-world problems. You'll even design, develop, monitor, and maintain machine and deep learning models on AWS. The book starts with an;

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Hands-On Machine Learning with IBM Watson

cognitive insights within applications Understand the role of data representation and feature extraction in any machine learning system Book;

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Machine Learning The New AI

learning-the foundation of efforts to process that data into knowledge-has also advanced. In this book, machine learning expert Ethem Alpaydin;

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Neural Machine Translation

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation;

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Challenges in Machine Generation of Analytic Products from Multi-Source Data

, with special attention to learning from small data, using multi-source data, adversarial learning, and understanding the human-machine;

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Statistical Machine Learning for Human Behaviour Analysis

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Deep Learning with TensorFlow 2 and Keras

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;

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Machine Learning for Oracle Database Professionals

Autonomous Database cloud offering. The book covers the technologies that make up the Oracle Machine Learning (OML) platform, including OML4SQL, OML;

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Machine Learning based Natural Scene Recognition for Mobile Robot Localization i

recognition. The respective chapters highlight the latest developments in vision-based machine perception and machine learning research for;

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