Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2023
Genre:	EDV / Informatik
	Artificial Intelligence / clustering techniques / Computer Vision / COMPUTERS / Artificial Intelligence / General / COMPUTERS / Data Science / Neural Networks / Deep Learning / Dimensionality reduction and manifold learning / Ensemble Learning / Feature extraction and selection / Keras, Python / Linear classification and regression / machine learning / Neural networks & fuzzy systems / Neural networks and fuzzy systems / pattern recognition / Penalised and sparse penalised regression / Support Vector Machines mehr...
ISBN:	9780128229040
EAN-Code:	9780128229040
Verlag:	Elsevier
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 191 mm / D 18 mm
Gewicht:	1000 gr
Illustration:	84 illustrations (48 in full color), Illustrationen, nicht spezifiziert
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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 notebooks are provided with each chapter to complement the text and aid understanding. Sections cover uses in biomedical applications, practical Python coding skills, mathematical tools that underpin the field, core machine learning methods, deep learning concepts with examples in Keras, and much more. This accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences and clinicians.