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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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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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A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are;
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adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it;
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adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it;
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Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning;
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insight into designing the best architecture for development, sharing, and deploying a machine learning solution. This book simplifies the process;
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valuable insight into designing the best architecture for development, sharing, and deploying a machine learning solution. This book simplifies the;
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to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the;
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to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the;
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undeniable asset for your learning process. Today's data scientists are the future of athletics, and Applied Machine Learning for Health and Fitness;
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Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques;
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Learn to leverage Amazon's powerful platform for your predictive analytics needs About This Book * Create great machine learning;
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advanced and introductory material to form an argument for what machine learning could achieve in the future. It will provide a vision on future;
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Balance Sheet Items and Products Modeling, Tools for Asset and Liability Managers, as well as Optimal Returns Strategies. Explaining, in detail;
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is provided towards the prediction of the actual financial performance of the business activity. Machine Learning Applications for Accounting;
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over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for;
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traditional definitions for risk and risk premium relevant in a multi-asset class world? * Do portfolios cater for the real risks in their investment;
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in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease;
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in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease;
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A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud;
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beyond for the industry Fund Managers: The Complete Guide is the authoritative resource for anyone who requires an overview of the asset;
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, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy;
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parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners;
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be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to;
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