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Online Portfolio Selection

principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book;

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Evaluating Learning Algorithms

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical;

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Evaluating Learning Algorithms

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical;

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MultiAgent Coordination

Coordination: A Reinforcement Learning Approach delivers a comprehensive, insightful, and unique treatment of the development of multi-robot;

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Machine Learning Foundations

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning;

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Algorithms and Law

Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars;

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Evaluating Learning Environments

ISBN Evaluating Learning Environments. Type boekomslag: Hardcover, Uitgever: Brill, Sense, Minimum bestelhoeveelheid: 1 stuk(s);

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Assessing and Evaluating Adult Learning in Career and Technical Education

Assessing and Evaluating Adult Learning in Career and Technical Education is een boek van Victor Wang;

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Statistical Machine Learning

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods;

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Evaluating e-Learning

How can novice e-learning researchers and postgraduate learners develop rigorous plans to study the effectiveness of technology-enhanced;

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Evaluating e-Learning

How can novice e-learning researchers and postgraduate learners develop rigorous plans to study the effectiveness of technology-enhanced;

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Python Reinforcement Learning Projects

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries Key Features Implement Q-learning;

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Algorithms in Machine Learning Paradigms

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse;

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Algorithms in Machine Learning Paradigms

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse;

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Machine Learning in Team Sports

This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for;

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Dictionary Learning Algorithms and Applications

This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics;

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Mathematics and Programming for Machine Learning with R

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;

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Mathematics and Programming for Machine Learning with R

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;

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Machine Learning Fundamentals

With the flexibility and features of scikit-learn and Python, build machine learning algorithms that optimize the programming process and;

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Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;

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Hands-On Reinforcement Learning with Python

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the;

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Algorithms for Reinforcement Learning

Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure;

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Algorithms for Reinforcement Learning

Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure;

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Accelerated Optimization for Machine Learning

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on;

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Accelerated Optimization for Machine Learning

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on;

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Ensemble Machine Learning Cookbook

Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key Features Apply popular;

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Unsupervised Learning Algorithms

This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts;

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