Synopsis
This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students, researchers, and professionals who are not necessarily initiated in advanced mathematics but yearn for a better understanding of this disruptive technology and its impact on medicine.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Reza Borhani, PhD is a seasoned machine learning consultant and engineer with a depth of experience developing AI solutions for companies in the healthcare and technology sectors. He has developed and taught a wide range of undergraduate-and graduate-level courses on machine learning, deep learning, reinforcement learning, and mathematical optimization at Northwestern University where he also holds an adjunct faculty position.
Soheila Borhani, MD is a physician-scientist with extensive clinical experience in various in-patient and out-patient settings. Her medical research interests lie in the areas of cancer biology, translational oncology, bioinformatics, and the application of artificial intelligence to cancer diagnostics and prognostics. She has served as editor and reviewer for a number of peer-reviewed journals in the field, and has organized short-courses on the topic of AI in medicine. Aggelos K. Katsaggelos, PhD is the Joseph Cummings Professor in Electrical and Computer Engineering (courtesy Computer Science and Radiology), and the deputy director of the Center for Computational Imaging and Signal Analytics in Medicine and co-lead of the Augmented Intelligence in Medical Imaging Program under the Institute for Augmented Intelligence in Medicine at Feinberg School of Medicine at Northwestern University. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), SPIE, the European Association for Signal Processing (EURASIP), and the Optical Society of America (OSA).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Autres éditions populaires du même titre
Résultats de recherche pour Fundamentals of Machine Learning and Deep Learning...
Image d'archives
Fundamentals of Machine Learning and Deep Learning in Medicine
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP. N° de réf. du vendeur 26396295577
Acheter neuf
EUR 78,74
Frais de port :
EUR 3,45
Vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Fundamentals of Machine Learning and Deep Learning in Medicine
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. N° de réf. du vendeur 401162822
Acheter neuf
EUR 82
Frais de port :
EUR 7,40
De Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Fundamentals of Machine Learning and Deep Learning in Medicine
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. N° de réf. du vendeur 18396295571
Acheter neuf
EUR 82,77
Frais de port :
EUR 9,95
De Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Fundamentals of Machine Learning and Deep Learning in Medicine
Edité par
Springer International Publishing Nov 2022, 2022
ISBN 10 : 3031195019
ISBN 13 : 9783031195013
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students, researchers, and professionals who are not necessarily initiated in advanced mathematics but yearn for a better understanding of this disruptive technology and its impact on medicine. Once an esoteric subject known to few outside of computer science and engineering departments, today artificial intelligence (AI) is a widely popular technology used by scholars from all across the academic universe. In particular, recent years have seen a great deal of interest in the AI subfields of machine learning and deep learning from researchers in medicine and life sciences, evidenced by the rapid growth in the number of articles published on the topic in peer-reviewed medical journals over the last decade. The demand for high-quality educational resources in this area has never been greater than it is today, and will only continue to grow at a rapid pace.Expert authors remove the veil of unnecessary complexity that often surrounds machine learning and deep learning by employing a narrative style that emphasizes intuition in place of abstract mathematical formalisms, allowing them to strike a delicate balance between practicality and theoretical rigor in service of facilitating the reader's learning experience. Topics covered in the book include: mathematical encoding of medical data, linear regression and classification, nonlinear feature engineering, deep learning, convolutional and recurrent neural networks, and reinforcement learning. Each chapter ends with a collection of exercises for readers to practice and test their knowledge.This is an ideal introduction for medical students, professionals, and researchers interested in learning more about machine learning and deep learning. Readers who have taken at least one introductory mathematics course at the undergraduate-level (e.g., biostatistics or calculus) will be well-equipped to use this book without needing any additional prerequisites. 208 pp. Englisch. N° de réf. du vendeur 9783031195013
Acheter neuf
EUR 96,29
Frais de port :
EUR 23
De Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Fundamentals of Machine Learning and Deep Learning in Medicine
Edité par
Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10 : 3031195019
ISBN 13 : 9783031195013
Neuf
Kartoniert / Broschiert
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students, researchers, and professionals who are not necessarily initiated in advanced mathematics but yearn for a better under. N° de réf. du vendeur 706732261
Acheter neuf
EUR 81,44
Frais de port :
EUR 48,99
De Allemagne vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Fundamentals of Machine Learning and Deep Learning in Medicine
impression à la demandeVendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Fundamentals of Machine Learning and Deep Learning in Medicine | Reza Borhani (u. a.) | Taschenbuch | xi | Englisch | 2022 | Springer | EAN 9783031195013 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 124663411
Acheter neuf
EUR 85,20
Frais de port :
EUR 70
De Allemagne vers Etats-Unis
Quantité disponible : 5 disponible(s)
Image fournie par le vendeur
Fundamentals of Machine Learning and Deep Learning in Medicine
ISBN 10 : 3031195019
ISBN 13 : 9783031195013
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students, researchers, and professionals who are not necessarily initiated in advanced mathematics but yearn for a better understanding of this disruptive technology and its impact on medicine. Once an esoteric subject known to few outside of computer science and engineering departments, today artificial intelligence (AI) is a widely popular technology used by scholars from all across the academic universe. In particular, recent years have seen a great deal of interest in the AI subfields of machine learning and deep learning from researchers in medicine and life sciences, evidenced by the rapid growth in the number of articles published on the topic in peer-reviewed medical journals over the last decade. The demand for high-quality educational resources in this area has never been greater than it is today, and will only continue to grow at a rapid pace.Expert authors remove the veil of unnecessary complexity that often surrounds machine learning and deep learning by employing a narrative style that emphasizes intuition in place of abstract mathematical formalisms, allowing them to strike a delicate balance between practicality and theoretical rigor in service of facilitating the reader¿s learning experience. Topics covered in the book include: mathematical encoding of medical data, linear regression and classification, nonlinear feature engineering, deep learning, convolutional and recurrent neural networks, and reinforcement learning. Each chapter ends with a collection of exercises for readers to practice and test their knowledge.This is an ideal introduction for medical students, professionals, and researchers interested in learning more about machine learning and deep learning. Readers who have taken at least one introductory mathematics course at the undergraduate-level (e.g., biostatistics or calculus) will be well-equipped to use this book without needing any additional prerequisites.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 208 pp. Englisch. N° de réf. du vendeur 9783031195013
Acheter neuf
EUR 96,29
Frais de port :
EUR 60
De Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Fundamentals of Machine Learning and Deep Learning in Medicine
Edité par
Springer International Publishing, 2022
ISBN 10 : 3031195019
ISBN 13 : 9783031195013
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students, researchers, and professionals who are not necessarily initiated in advanced mathematics but yearn for a better understanding of this disruptive technology and its impact on medicine. Once an esoteric subject known to few outside of computer science and engineering departments, today artificial intelligence (AI) is a widely popular technology used by scholars from all across the academic universe. In particular, recent years have seen a great deal of interest in the AI subfields of machine learning and deep learning from researchers in medicine and life sciences, evidenced by the rapid growth in the number of articles published on the topic in peer-reviewed medical journals over the last decade. The demand for high-quality educational resources in this area has never been greater than it is today, and will only continue to grow at a rapid pace.Expert authors remove the veil of unnecessary complexity that often surrounds machine learning and deep learning by employing a narrative style that emphasizes intuition in place of abstract mathematical formalisms, allowing them to strike a delicate balance between practicality and theoretical rigor in service of facilitating the reader's learning experience. Topics covered in the book include: mathematical encoding of medical data, linear regression and classification, nonlinear feature engineering, deep learning, convolutional and recurrent neural networks, and reinforcement learning. Each chapter ends with a collection of exercises for readers to practice and test their knowledge.This is an ideal introduction for medical students, professionals, and researchers interested in learning more about machine learning and deep learning. Readers who have taken at least one introductory mathematics course at the undergraduate-level (e.g., biostatistics or calculus) will be well-equipped to use this book without needing any additional prerequisites. N° de réf. du vendeur 9783031195013
Acheter neuf
EUR 96,29
Frais de port :
EUR 61,81
De Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)
Edition internationale
FUNDAMENTALS OF MACHINE LEARNING AND DEEP LEARNING IN MEDICINE (PB 2022)
Edition internationaleVendeur : UK BOOKS STORE, London, LONDO, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. N° de réf. du vendeur CBS 9783031195013
Acheter neuf
EUR 144,28
Frais de port :
EUR 14,77
De Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)