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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural;

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Machine Learning and Big Data Analytics Paradigms

many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for;

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Artificial Intelligence and Machine Learning , An Issue of Neuroimaging Clinics of North America

This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza;

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Big Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data

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Deep Learning for Data Analytics

and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics;

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Applied Deep Learning

undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with;

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Handbook of Research on Applications and Implementations of Machine Learning Techniques

learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support;

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Oracle Business Intelligence with Machine Learning

-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a;

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Foundations of Data Science for Engineering Problem Solving

intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial;

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Foundations of Data Science for Engineering Problem Solving

intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial;

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Information Management and Machine Intelligence

; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT;

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Deep Learning in Biometrics

-ups are focusing on deep learning-based techniques for data analytics and artificial intelligence. This technology applies quite strongly to;

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Artificial Intelligence for Cyber Security

(using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial;

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Advances on Smart and Soft Computing

, data stream management and analytics, deep learning, data mining applications, information retrieval, cloud computing platforms, parallel;

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Hands-On Artificial Intelligence on Amazon Web Services

experiments efficiently Create AI apps using AWS pre-trained AI services Who this book is forThis book is for data scientists, machine learning;

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Artificial Intelligence for Data-Driven Medical Diagnosis

Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and;

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering;

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Artificial Intelligence for IoT Cookbook

systems Gain insights into IoT data using algorithms and implement them in projects Perform anomaly detection for time series data and other;

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Machine Learning for Healthcare Analytics Projects

a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new;

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Intelligent Learning Systems

for pattern classification. Section 2 focuses on intelligent learning methods and approaches, describing evolutionary learning of concepts;

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Multi-disciplinary Trends in Artificial Intelligence

from 82 submissions. They are organized in the following topical sections: knowledge representation and reasoning; data mining and machine;

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Distributed Computing and Artificial Intelligence, Special Sessions II, 15th International Conference

discussed, while improved methods and wholly new methods for using deep learning technologies are also presented. The topics covered are;

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;

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Machine Learning: The Most Complete Guide for Beginners to Mastering Deep Learning, Artificial Intelligence and Data Science with Python. This Book Includes

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Machine Learning: The Most Complete Guide for Beginners to Mastering Deep Learning, Artificial Intelligence and Data Science with Python. This Book Includes

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Hands-On Artificial Intelligence for IoT

data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT;

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HandsOn Unsupervised Learning Using Python

artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised;

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