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Machine Learning for Asset Management

area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area;

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Machine Learning in Asset Pricing

A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are;

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Machine Learning Asset Valuation

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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based;

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Data Intensive Industrial Asset Management

This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a;

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Data Intensive Industrial Asset Management: Iot-Based Algorithms and Implementation

This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a;

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Cognitive Computing Systems

in construction management, elevating competency in education, comprehensive health monitoring systems, predicting type 2 diabetes, applications for smart;

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models;

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Machine Learning for Cloud Management

is the first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds;

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Machine Learning for Cloud Management

is the first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds;

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Machine Learning in Marketing

training data, looking for generalizability. Thus, one of the potential contributions of machine learning to marketing lies in its robustness for;

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Machine Learning

learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading;

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Information Management and Machine Intelligence

of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation;

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Engineering Asset Management 2011

2011 is an excellent reference for practitioners, researchers and students in the multidisciplinary field of asset management, covering topics;

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Financial Signal Processing and Machine Learning

machine learning for the design and management of investment portfolios and financial engineering. This book bridges the gap between these;

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Machine Learning for Asset Managers

trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and;

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Quantitative Trading

strategies, risk analysis, and management. The second part covers market impact models, network models, multi-asset trading, machine learning;

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Quantitative Trading

strategies, risk analysis, and management. The second part covers market impact models, network models, multi-asset trading, machine learning;

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Physical Asset Management

strategy, outsourcing, cost-benefit analysis, disposal and renewal. Features include: providing a textbook for asset management courses;

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Physical Asset Management

strategy, outsourcing, cost-benefit analysis, disposal and renewal. Features include: providing a textbook for asset management courses;

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Physical Asset Management

edition to provide further analytical material *Aligned with the international asset management standard ISO55000 *Provides a basis for the;

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Machine Learning and Knowledge Discovery for Engineering Systems Health Management

Machine Learning and Knowledge Discovery for Engineering Systems Health Management presents state-of-the-art tools and techniques for;

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Human-in-the-Loop Machine Learning

scientists working in real-world machine learning, where data scientists spend more time on data management than on building algorithms;

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Proceedings of the Second International Conference on Information Management and

covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and;

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IT Asset Management Foundation (ITAMF)

IT Asset Management Foundation (ITAMF) is a certification that validates a professionals knowledge on managing the IT assets as part of an;

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Internet of Energy for Smart Cities

) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve;

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A Primer on Machine Learning Applications in Civil Engineering

. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil;

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