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The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry

The Era of Artificial Intelligence, Machine Learning and Data Sciencein the Pharmaceutical Industry examines the drug discovery process;

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Foundations of Data Science for Engineering Problem Solving

problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal;

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Foundations of Data Science for Engineering Problem Solving

problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal;

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new;

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Recent Advances in Artificial Intelligence and Data Engineering

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various;

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Machine Learning, Optimization, and Data Science

This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data;

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Machine Learning, Optimization, and Data Science

. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data;

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Empowering Artificial Intelligence Through Machine Learning

This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new;

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Artificial Intelligence Techniques for Advanced Computing Applications

intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and;

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Artificial Intelligence for Marketing

methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely;

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ICDSMLA 2019

This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019;

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Applications of Machine Learning in Wireless Communications

. Applications of machine learning in wireless communications have been receiving a lot of attention, especially in the era of big data and IoT, where;

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Cybernetics Cognition and Machine Learning Applications

of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and;

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Artificial Intelligence and Machine Learning for EDGE Computing

Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing;

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Applications of Artificial Intelligence Techniques in the Petroleum Industry

Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand;

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Machine Learning and Artificial Intelligence for Agricultural Economics

researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals;

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Machine Learning, Optimization, and Data Science

in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a;

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Machine Learning, Optimization, and Data Science

in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a;

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Cybernetics Cognition and Machine Learning Applications

This book provides a collection of selected papers presented at the International Conference on Cybernetics, Cognition and Machine Learning;

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Artificial Intelligence with Python

techniques. What you will learn Understand what artificial intelligence, machine learning, and data science are Explore the most common artificial;

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Computational Sciences and Artificial Intelligence in Industry

This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging;

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AI 2017: Advances in Artificial Intelligence

spectrum of research streams in artificial intelligence ranging from machine learning, optimization to big data science and their practical;

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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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Machine Learning Technologies and Applications

field of computer science with a special focus on the machine learning and big data. The book focuses on advanced topics in artificial;

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Applied Deep Learning

data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all;

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