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Deep Learning on Graphs

Deep learning on graphs has become one of the hottest topics in machine learning. The book consists of four parts to best accommodate our;

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Graph Representation Learning

this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings;

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Machine Learning for Text

intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning;

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Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications

Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second;

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Deep Learning in Data Analytics

This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various;

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A Textbook of Graph Theory

Here is a solid introduction to graph theory, covering Dirac's theorem on k-connected graphs, Harary-Nashwilliam's theorem on the;

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Knowledge Graphs

emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language;

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Reinforcement Learning for Finance

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow;

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Knowledge Graphs and Semantic Web

language processing/text mining, machine/deep learning, semantic web, and knowledge graphs.;

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Web Information Systems Engineering - WISE 2019

This book constitutes the proceedings of the 20th International Conference on Web Information Systems Engineering, WISE 2019, held in Hong;

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Semantic Systems. The Power of AI and Knowledge Graphs

This open access book constitutes the refereed proceedings of the 15th International Conference on Semantic Systems, SEMANTiCS 2019, held;

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Application of Graph Rewriting to Natural Language Processing

The paradigm of Graph Rewriting is used very little in the field of Natural Language Processing. But;...

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Making Graphs

A class is learning a lesson on making graphs and interpreting data, and the class clown, Logan, has some off-the-wall answers to his;

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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ;

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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ;

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Hands-On Deep Learning with TensorFlow

in concepts, advanced guide on deep learning that will give you background to innovate in your environment Who This Book Is For If you are a data;

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Representation Learning

popularity with recent advances in deep learning. The authors establish a unifying perspective on representation learning techniques developed;

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Representation Learning

popularity with recent advances in deep learning. The authors establish a unifying perspective on representation learning techniques developed;

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Concepts and Real-Time Applications of Deep Learning

concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning;

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Hands-On Deep Learning with Apache Spark

layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts;

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Machine Learning and Knowledge Discovery in Databases

The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and;

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Machine Learning and Knowledge Discovery in Databases

The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and;

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Machine Learning and Knowledge Discovery in Databases

The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and;

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an;

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Practical MATLAB Deep Learning

Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.;

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Practical MATLAB Deep Learning

rich in examples on deep learning using MATLAB.;

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Pro Deep Learning with TensorFlow

required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on;

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