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Applied Machine Learning for Smart Data Analysis

Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address;

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BIM-enabled Cognitive Computing for Smart Built Environment

BIM-based and data-analytic research on cognitive IoT for smart buildings and cognitive cities using big data and machine learning as complex;

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Machine Learning Paradigm for Internet of Things Applications

learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store;

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Hands-On Machine Learning with Microsoft Excel 2019

A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud;

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Smart Data

contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning;

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Practical Time Series Analysis Prediction with Statistics and Machine Learning

digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time;

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Artificial Intelligence for IoT Cookbook

, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this;

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Smart Computing

The field of SMART technologies is an interdependent discipline. It involves the latest burning issues ranging from machine learning, cloud;

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Statistical and Machine Learning Approaches for Network Analysis

for researchers and practitioners in the fields of applied discrete mathematics, machine learning, data mining, and biostatistics.;

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Smart Data

contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning;

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Behavior Analysis with Machine Learning Using R

Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse;

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Natural and Artificial Computation for Biomedicine and Neuroscience

; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and;

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MATLAB Deep Learning

complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep;

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Document Processing Using Machine Learning

applied for classification/recognition and clustering problems regardless the type of input data: images or text. In brief, the book offers;

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Biomedical Applications Based on Natural and Artificial Computing

; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and;

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Intelligent Systems

computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence;

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Smart Agriculture

This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector;

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Machine Learning on Geographical Data Using Python

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data;

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Lecture Notes in Computational Intelligence and Decision Making

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the;

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

vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data;

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

vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data;

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Big Data and Smart Digital Environment

This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;

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Big Data and Smart Digital Environment

This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing;

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Smart Applications and Data Analysis

This volume constitutes refereed proceedings of the Third International Conference on Smart Applications and Data Analysis, SADASC 2020;

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Machine Learning and Knowledge Discovery in Databases

vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data;

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Machine Learning and Knowledge Discovery in Databases

vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data;

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Machine Learning and Knowledge Discovery in Databases

vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data;

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