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Machine Learning For Financial Engineering

This volume investigates algorithmic methods based on machine learning in order to design sequential investment strategies for financial;

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Machine Learning for Finance

A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;

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Advances in Machine Learning Applications in Software Engineering

establish predictive models for software quality. Advances in Machine Learning Applications in Software Engineering offers readers direction for;

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Applied Genetic Programming and Machine Learning

Programming and Machine Learning delineates the extension of Genetic Programming (GP) for practical applications. Reflecting rapidly;

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Applied Genetic Programming and Machine Learning

Programming and Machine Learning delineates the extension of Genetic Programming (GP) for practical applications. Reflecting rapidly;

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Machine Learning and Systems Engineering

reference text for researchers and graduate students, working on machine learning and systems engineering.;

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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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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces;

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Machine Learning Engineering with Python

with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and;

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Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these;

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Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these;

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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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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 Financial Time Series

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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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Machine Learning with PySpark

embedding for classification. After reading this book, you will understand how to use PySpark's machine learning library to build and train;

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Welding and Cutting Case Studies with Supervised Machine Learning

includes case studies that employ machine learning for manufacturing processes in the engineering domain. The book not only provides beginners with;

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Welding and Cutting Case Studies with Supervised Machine Learning

includes case studies that employ machine learning for manufacturing processes in the engineering domain. The book not only provides beginners with;

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Feature Engineering for Machine Learning and Data Analytics

depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive;

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Feature Engineering for Machine Learning and Data Analytics

depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive;

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TensorFlow For Dummies

Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the;

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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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The Essentials of Machine Learning in Finance and Accounting

* A useful guide to financial product modeling and to minimizing business risk and uncertainty * Looks at wide range of financial;

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The Essentials of Machine Learning in Finance and Accounting

* A useful guide to financial product modeling and to minimizing business risk and uncertainty * Looks at wide range of financial;

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Practical Applications of Evolutionary Computation to Financial Engineering

. The third chapter is an introduction to financial engineering problems for readers who are unfamiliar with this area. The following chapters;

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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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Machine Learning

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

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