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Machine Learning Deep Modeling (38 results)
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Machine Learning Made Simple: Master AI Algorithms Without Complex Math A Beginner-Friendly Approach to Data Science, Predictive Modeling, and Deep Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Machine Learning Made Simple: Master AI Algorithms Without Complex Math A Beginner-Friendly Approach to Data Science, Predictive Modeling, and Deep Le
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Machine Learning Made Simple: Master AI Algorithms Without Complex Math A Beginner-Friendly Approach to Data Science, Predictive Modeling, and Deep Le
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Risk Modeling : Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Risk Modeling : Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning (Wiley and SAS Business Series)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Risk Modeling: Practical Applications of Artificia l Intelligence, Machine Learning, and Deep Learnin g
Published by John Wiley & Sons Inc, 2022
ISBN 10: 1119824931 ISBN 13: 9781119824930
Language: English
Hardcover. Condition: Brand New. 208 pages. 9.21x6.30x0.79 inches. In Stock.
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Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Published by John Wiley & Sons Inc, 2022
ISBN 10: 1119824931 ISBN 13: 9781119824930
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2022. 1st Edition. Hardcover. . . . . .
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Risk Modeling: Practical Applications of Artificia l Intelligence, Machine Learning, and Deep Learnin g
Published by John Wiley & Sons Inc, 2022
ISBN 10: 1119824931 ISBN 13: 9781119824930
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 726.
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Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Published by John Wiley & Sons Inc, 2022
ISBN 10: 1119824931 ISBN 13: 9781119824930
Language: English
Condition: New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: New. Brand new! Please provide a physical shipping address.
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Machine Learning For beginners: Easy guide of ML, deep learning, data analytics and cyber security in practice.Modern approach of Neural Networks, Predictive Modeling and Data Mining with 50 Key Terms
Published by Independently published, 2019
ISBN 10: 171245885X ISBN 13: 9781712458853
Language: English
Condition: New. Print on Demand.
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Buch. Condition: Neu. Neuware - A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementationRisk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning introduces readers to the use of innovative AI technologies for forecasting and evaluating financial risks. Providing up-to-date coverage of the practical application of current modelling techniques in risk management, this real-world guide also explores new opportunities and challenges associated with implementing machine learning and artificial intelligence (AI) into the risk management process.Authors Terisa Roberts and Stephen Tonna provide readers with a clear understanding about the strengths and weaknesses of machine learning and AI while explaining how they can be applied to both everyday risk management problems and to evaluate the financial impact of extreme events such as global pandemics and changes in climate. Throughout the text, the authors clarify misconceptions about the use of machine learning and AI techniques using clear explanations while offering step-by-step advice for implementing the technologies into an organization's risk management model governance framework. This authoritative volume:\* Highlights the use of machine learning and AI in identifying procedures for avoiding or minimizing financial risk\* Discusses practical tools for assessing bias and interpretability of resultant models developed with machine learning algorithms and techniques\* Covers the basic principles and nuances of feature engineering and common machine learning algorithms\* Illustrates how risk modeling is incorporating machine learning and AI techniques to rapidly consume complex data and address current gaps in the end-to-end modelling lifecycle\* Explains how proprietary software and open-source languages can be combined to deliver the best of both worlds: for risk models and risk practitionersRisk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning is an invaluable guide for CEOs, CROs, CFOs, risk managers, business managers, and other professionals working in risk management.
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Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications (International Series in Operations Research & Management Science, 336)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying this analysis to medical imaging, clinical, and other healthcare applications.The book covers among other areas:Image acquisition and formation.Computer-aided diagnosis.Image classification.Feature extraction.Image enhancement/segmentation.Medical image processing issues such as segmentation, visualization, registration, and navigation may seem to be distinct, yet they are all intertwined in the process of resolving clinical bottlenecks. Using deep learning algorithms, researchers were able to achieve record-breaking performance and set the bar for future research. Due to the extensive quantity of medical imaging data of CT scan, ultrasound, and MRI, there is widespread use of machine learning, specifically deep learning, to discover specific patterns on such data. Such large data is well quantified by deep learning models. Deep learning is now being utilized, customized, and particularly developed for medical image analysis, as opposed to when it was first introduced to the community. Having learned more about the techniques, researchers have come up with innovative ideas for combining artificial intelligence (AI) with neural networks to solve difficult issues like medical image reconstruction.The key features of this book are:Machine learning and deep learning applications.Medical imaging applications.Feature extraction and analysis.Medical image classification, segmentation, recognition, and registration.Medical image analysis and enhancement.Handling medical image dataset.
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Novel Financial Applications of Machine Learning and Deep Learning | Algorithms, Product Modeling, and Applications
Published by Springer Nature Switzerland, 2024
ISBN 10: 3031185544 ISBN 13: 9783031185540
Language: English
Taschenbuch. Condition: Neu. Novel Financial Applications of Machine Learning and Deep Learning | Algorithms, Product Modeling, and Applications | Petr Hajek (u. a.) | Taschenbuch | xii | Englisch | 2024 | Springer Nature Switzerland | EAN 9783031185540 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.
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Novel Financial Applications of Machine Learning and Deep Learning : Algorithms, Product Modeling, and Applications
Published by Springer International Publishing, 2023
ISBN 10: 303118551X ISBN 13: 9783031185519
Language: English
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
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Novel Financial Applications of Machine Learning and Deep Learning : Algorithms, Product Modeling, and Applications
Published by Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031185544 ISBN 13: 9783031185540
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a significant supplement to the financial literacy of the investigated study.The book covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice.The book primarily aims at providing graduate students and researchers with a roadmap for financial data analysis. It is also intended for a broad audience, including academics, professional financial analysts, and policy-makers who are involved in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
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Novel Financial Applications of Machine Learning and Deep Learning : Algorithms, Product Modeling, and Applications
Published by Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 303118551X ISBN 13: 9783031185519
Language: English
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial product modeling, which aims to advance the model performance and minimize risk and uncertainty. It provides both practical and managerial implications of financial and managerial decision support systems which capture a broad range of financial data traits. It also serves as a guide for the implementation of risk-adjusted financial product pricing systems, while adding a significant supplement to the financial literacy of the investigated study.The book covers advanced machine learning techniques, such as Support Vector Machine, Neural Networks, Random Forest, K-Nearest Neighbors, Extreme Learning Machine, Deep Learning Approaches, and their application to finance datasets. It also leverages real-world financial instances to practice business product modeling and data analysis. Software code, such as MATLAB, Python and/or R including datasets within a broad range of financial domain are included for more rigorous practice.The book primarily aims at providing graduate students and researchers with a roadmap for financial data analysis. It is also intended for a broad audience, including academics, professional financial analysts, and policy-makers who are involved in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
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Hardcover. Condition: Brand New. 243 pages. 9.25x6.10x9.21 inches. In Stock.
