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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
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 19,31
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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
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 20,47
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Risk Modeling : Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 28,82
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Mathematics of Time Series Forecasting: Build Robust Time Series Forecasting Systems in Python Using Mathematical Theory, Statistical Modeling, Machine Learning, and Deep Learning (English Edition)
Idioma: Inglés
Publicado por Orange Education Pvt Ltd, 2026
ISBN 10: 9349887665 ISBN 13: 9789349887664
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
EUR 29,74
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Risk Modeling : Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 31,45
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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
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 22,01
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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
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 20,53
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Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
Calificación del vendedor: 3 de 5 estrellas
EUR 32,61
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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
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 23,04
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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
Publicado por Independently Published, 2025
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 22,64
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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Librería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
EUR 42,01
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Risk Modeling : Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 32,81
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Risk Modeling : Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 34,05
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Risk Modeling: Practical Applications of Artificia l Intelligence, Machine Learning, and Deep Learnin g
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 41,78
Envío por EUR 11,52
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Añadir al carritoHardcover. Condición: 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
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Calificación del vendedor: 5 de 5 estrellas
Original o primera edición
EUR 42,08
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Se envía de Irlanda a Estados Unidos de AmericaCantidad disponible: 15 disponibles
Añadir al carritoCondición: New. 2022. 1st Edition. Hardcover. . . . . .
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Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
EUR 52,83
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Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 51,80
Envío por EUR 9,16
Se envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
Añadir al carritoCondición: New. 2022. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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Risk Modeling: Practical Applications of Artificia l Intelligence, Machine Learning, and Deep Learnin g
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 41,03
Envío por EUR 20,75
Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
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Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 54,21
Envío por EUR 13,80
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Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning (Wiley and SAS Business Series)
Librería: Ubiquity Trade, Miami, FL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
EUR 72,75
Envío por EUR 2,62
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Añadir al carritoCondición: 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
Idioma: Inglés
Publicado por Independently published, 2019
ISBN 10: 171245885X ISBN 13: 9781712458853
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
EUR 17,98
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Añadir al carritoCondición: New. Print on Demand.
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Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care (Hardcover)
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2025
ISBN 10: 3031987276 ISBN 13: 9783031987274
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 157,78
Gastos de envío gratis
Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care (Hardcover)
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2025
ISBN 10: 3031987276 ISBN 13: 9783031987274
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 133,49
Envío por EUR 42,63
Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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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)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
EUR 175,73
Envío por EUR 13,80
Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
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Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care (Springer Series in Reliability Engineering)
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
EUR 204,08
Envío por EUR 3,48
Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
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Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
EUR 149,79
Envío por EUR 64,54
Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 240,13
Envío por EUR 2,30
Se envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
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Novel Financial Applications of Machine Learning and Deep Learning : Algorithms, Product Modeling, and Applications
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
EUR 245,44
Envío por EUR 2,30
Se envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
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Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care (Hardcover)
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2025
ISBN 10: 3031987276 ISBN 13: 9783031987274
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
EUR 224,04
Envío por EUR 32,29
Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Novel Financial Applications of Machine Learning and Deep Learning : Algorithms, Product Modeling, and Applications
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
EUR 146,79
Envío por EUR 105,00
Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Añadir al carritoCondición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.
