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Machine Learning for Biomedical Applications - Bok av Maria (Senior Lecturer in Medical Imaging Deprez - Häftad

Machine Learning for Biomedical Applications - Bok av Maria (Senior Lecturer in Medical Imaging Deprez - Häftad

Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where concepts are presented in short descriptions followed by simple examples using biomedical data. Interactive Python not are provided with each chapter to complement the text and aid understanding. Sections cover uses in biomedical applications, practical..

SEK 810.00
1

Introduction to Algorithms for Data Mining and Machine Learning - Bok av Xin-She (School of Science and Technology Yang - Häftad

Introduction to Algorithms for Data Mining and Machine Learning - Bok av Xin-She (School of Science and Technology Yang - Häftad

Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory..

SEK 796.00
1

IFRS 9 and CECL Credit Risk Modelling and Validation - A Practical Guide with Examples Worked in R and SAS - Bok av Tiziano (BlackRock Financial Marke

IFRS 9 and CECL Credit Risk Modelling and Validation - A Practical Guide with Examples Worked in R and SAS - Bok av Tiziano (BlackRock Financial Marke

IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression analyses pave the way to more innovative methods like machine learning, survival analysis, and competing risk modelling. Special attention is then devoted to scarce data and low..

SEK 1001.00
1