Practical AI for Healthcare Professionals: Machine Learning with Numpy, Scikit-learn, and TensorFlow

Use Artificial Intelligence (AI) to analyze and diagnose what previously could only be handled by trained medical professionals. This book gives an introduction to practical AI, focusing on real-life medical problems, how to solve them with actual code, and how to evaluate the efficacy of these solu...

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Bibliographische Detailangaben
1. Verfasser: Suri, Abhinav (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: New York, NY Apress [2022]
Schlagworte:
Online-Zugang:FHD01
Zusammenfassung:Use Artificial Intelligence (AI) to analyze and diagnose what previously could only be handled by trained medical professionals. This book gives an introduction to practical AI, focusing on real-life medical problems, how to solve them with actual code, and how to evaluate the efficacy of these solutions. You'll start by learning how to diagnose problems as ones that can and cannot be solved with AI or computer science algorithms. If you're not familiar with those algorithms, that's not a problem. You'll learn the basics of algorithms and neural networks and when each should be applied. Then you'll tackle the essential parts of basic Python programming relevant to data processing and making AI programs. The TensorFlow library alogn with Numpy and Scikit-Learn are covered, too. Once you've mastered those basic computer science concepts, you can dive into three projects with code, implementation details and explanation, and diagnostic utility analysis.
Beschreibung:1 Online-Ressource (xiv, 254 Seiten)
ISBN:9781484277805