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Machine Learning for Planetary Science

Machine Learning for Planetary Science presents planetary scientists with a way to introduce machine learning into the research workflow as;

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

Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision;

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Python Machine Learning

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;

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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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Automated Machine Learning for Business

Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data;

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Automated Machine Learning for Business

Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data;

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Machine Learning

majors. It is also a useful reference resource for researchers and practitioners of machine learning.;

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Effective Amazon Machine Learning

Learn to leverage Amazon's powerful platform for your predictive analytics needs About This Book * Create great machine learning;

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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on;

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Lie Group Machine Learning

and Lie group theory. Lie group machine learning is a theoretical basis for brain intelligence, Neuromorphic learning (NL), advanced machine;

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Hands-On Data Science and Python Machine Learning

will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis;

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Foundational Python for Data Science

liberal arts disciplines. Python, the world's #1 programming language, is also the most popular language for data science and machine learning;

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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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Mathematics for Machine Learning

central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For;

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Mathematics for Machine Learning

central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For;

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Machine Learning Modeling for IoUT Networks

transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing challenges in the field. In addition;

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Empowering Artificial Intelligence Through Machine Learning

. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine;

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Machine Learning for Speaker Recognition

This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition;

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Review of the Restructured Research and Analysis Programs of NASA's Planetary Science Division

Earth- and space-based telescopes; and development of flight instruments and technology needed for future planetary science missions. The;

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Machine Learning and Cognitive Science Applications in Cyber Security

variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and;

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Machine Learning Algorithms

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This;

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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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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

approaches for students, researchers, practitioners, and academicians working in the field of AI, neural network, machine learning, and cognitive;

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Introduction to Statistical and Machine Learning Methods for Data Science

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Introduction to Statistical and Machine Learning Methods for Data Science

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Machine Learning with Microsoft Technologies

insight into designing the best architecture for development, sharing, and deploying a machine learning solution. This book simplifies the process;

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