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Intelligent Systems in Big Data, Semantic Web and Machine Learning

for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and;

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Big Data and Machine Learning in Quantitative Investment

Get to know the 'why' and 'how' of machine learning and big data in quantitative investment Big Data and Machine Learning;

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Machine Learning, Big Data, and IoT for Medical Informatics

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;

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Data Science Solutions with Python

Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer;

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning

submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics;

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Machine Learning

analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data;

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Hands-On Data Science and Python Machine Learning

will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis;

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Signal Processing and Machine Learning for Biomedical Big Data

alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Big Data, Data Mining, And Machine Learning

process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and;

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Discovery Science

knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various;

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Proceedings of the International Conference on Big Data, IoT, and Machine Learning

data, IoT and machine learning. The book will be helpful for active researchers and practitioners in the field.;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Machine Learning

Dig deep into the data with a hands-on guide to machine learningMachine Learning: Hands-On for Developers and Technical;

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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Machine Learning and Big Data

of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17;

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Mastering Scala Machine Learning

new Big Data machine learning in your data-driven enterprise to gain future scalability and maintainability Who This Book Is For;

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Big Data Analytics with Java

Learn the basics of analytics on big data using Java, machine learning and other big data tools About This Book * Acquire real-world;

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Blockchain, Big Data and Machine Learning

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It;

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;

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Machine Learning for Subsurface Characterization

." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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