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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

This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data;

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Machine Learning, Optimization, and Big Data

This book constitutes revised selected papers from the First International Workshop on Machine Learning, Optimization, and Big Data, MOD;

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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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Optimization for Data Analysis

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic;

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

neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning;

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

neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning;

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Machine Learning and Knowledge Discovery in Databases

neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning;

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Machine Learning and Knowledge Discovery in Databases

neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning;

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Machine Learning and Knowledge Discovery in Databases

neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning;

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Optimization for Machine Learning

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both;

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A Tour of Data Science

, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data;

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A Tour of Data Science

, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data;

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Distributed Machine Learning and Gradient Optimization

in the field of machine learning, artificial intelligence, big data and database management.;

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Machine Learning, Optimization, and Big Data

This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD;

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Linear Algebra and Optimization for Machine Learning

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout;

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Linear Algebra and Optimization for Machine Learning

This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout;

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Fundamentals of Data Analytics

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail;

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Fundamentals of Data Analytics

This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail;

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Graph-Powered Machine Learning

At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations;

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Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Par

; natural language processing. Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation;

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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 and Knowledge Discovery in Databases. Applied Data Science Track

networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning;

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Machine Learning for Healthcare

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;

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Data Science and Its Applications

research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science;

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Data-Driven Evolutionary Optimization

Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning;

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