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This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data;
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This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data;
Vergelijkbare producten zoals Machine Learning, Optimization, and Data Science
data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and;
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This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;
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This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;
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skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science;
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Book Is For This book has been created for data scientists who want to see machine learning in action and explore its real-world application;
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in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a;
Vergelijkbare producten zoals Machine Learning, Optimization, and Data Science
in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a;
Vergelijkbare producten zoals Machine Learning, Optimization, and Data Science
methods to enhance our scientific understanding of planetary data and serves as a guide for selecting the right methods and tools for solving a;
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learning on the cloud Who This Book Is For This book is intended for data scientists and managers of predictive analytics projects; it will;
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and various data science & machine learning applications. It brings together scientists and researchers from different universities and;
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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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methods extract rules and patterns out of massive data sets. The major focus of machine learning research is to extract information from data;
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how to measure the memory footprint and execution speed of machine learning models, quality test a data science pipelines, and modularizing a;
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This book constitutes revised selected papers from the First International Workshop on Machine Learning, Optimization, and Big Data, MOD;
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Data science and machine learning-two of the world's hottest fields-are attracting talent from a wide variety of technical, business, and;
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Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil;
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machine learning, unsupervised machine learning and model evaluation. Machine learning and data science are large disciplines, requiring years;
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Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers;
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Learning and Data Science skillsHow to represent data processed by machine learning
measure the memory footprint and execution speed of machine learning models, quality test a data science pipelines, and modularizing a data;
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science and discusses the statistical techniques data scientists should know. You'll then move on to machine learning in Azure where you will;
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from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set. Machine Learning;
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learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set. Machine;
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-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set;
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of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and;
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