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Data-Driven Science and Engineering

intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics;

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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 and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

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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Introduction to Statistical Machine Learning

Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and;

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Machine Learning and Knowledge Discovery for Engineering Systems Health Management

data streams and associated performance metrics. It also illustrates the analysis of text reports using novel machine learning approaches that;

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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and;

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Hands-On Data Science and Python Machine Learning

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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Practical Machine Learning

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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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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Deep Learning and Physics

, neural networks are derived naturally. And you can learn the concepts of deep learning through the words of physics. In fact, the foundation;

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Deep Learning and Physics

, neural networks are derived naturally. And you can learn the concepts of deep learning through the words of physics. In fact, the foundation;

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Python Machine Learning

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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Machine Learning for Planetary 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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Theory of Information and its Value

theory has gained recognition in data science, machine learning, and artificial intelligence. With the emergence of a data-driven economy;

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Effective Amazon Machine Learning

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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Machine Learning Research Progress

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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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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Productive and Efficient Data Science with Python

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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Machine Learning and Data Science in the Oil and Gas Industry

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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ICDSMLA 2019

and various data science & machine learning applications. It brings together scientists and researchers from different universities and;

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Foundational Python for Data Science

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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Phase Transitions In Machine Learning

, statistical physics and machine learning, the book provides sufficient mathematics and physics background to make the subject intelligible to;

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Machine Learning and Data Science

machine learning, unsupervised machine learning and model evaluation. Machine learning and data science are large disciplines, requiring years;

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Machine Learning

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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Data Science

-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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