| 書目名稱 | Practical AI for Healthcare Professionals | | 副標題 | Machine Learning wit | | 編輯 | Abhinav Suri | | 視頻video | http://file.papertrans.cn/753/752761/752761.mp4 | | 概述 | Code and conceptualize practical AI projects for healthcare diagnosis of diabetes, heart disease, and brain cancer.Improve the lives of patients by developing new AI tooling even without a background | | 圖書封面 |  | | 描述 | .Practical AI for Healthcare Professionals.?.Artificial Intelligence (AI) is a buzzword in the healthcare sphere today. However, notions of what AI actually is and how it works are often not discussed. Furthermore, information on AI implementation is often tailored towards seasoned programmers rather than the healthcare professional/beginner coder. This book gives an introduction to practical AI in the medical sphere, focusing on real-life clinical problems, how to solve them with actual code, and how to evaluate the efficacy of those solutions. You’ll start by learning how to diagnose problems as ones that can and cannot be solved with AI. You’ll then learn the basics of computer science algorithms, 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/Keras library along with Numpy and Scikit-Learn are covered as well..?.Once you’ve mastered those basic computer science and programming concepts, you can dive into projects with code, implementation details, and explanations. These projects give you the chance to explore using machine learning algorithms | | 出版日期 | Book 2022 | | 關鍵詞 | TensorFlow; AI; Numpy; Scikit-learn; Medical Image Segmentation; AI for diagnosis; Neural Networks; Data An | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-7780-5 | | isbn_softcover | 978-1-4842-7779-9 | | isbn_ebook | 978-1-4842-7780-5 | | copyright | Abhinav Suri 2022 |
The information of publication is updating
|
|
|Archiver|手機版|小黑屋|
派博傳思國際
( 京公網安備110108008328)
GMT+8, 2025-10-14 03:39
發(fā)表于 2025-3-21 19:55:43
