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Explainable AI with Python

Di Cecco, Antonio.

Explainable AI with Python

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Explainable AI with Pythonby Leonida Gianfagna, Antonio Di Cecco.
作者:	Gianfagna, Leonida.
其他作者:	Di Cecco, Antonio.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	viii, 202 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learning.
電子資源:	https://doi.org/10.1007/978-3-030-68640-6
ISBN:	9783030686406$q(electronic bk.)

Explainable AI with Python
Gianfagna, Leonida.

Explainable AI with Python[electronic resource] /by Leonida Gianfagna, Antonio Di Cecco. - Cham :Springer International Publishing :2021. - viii, 202 p. :ill. (some col.), digital ;24 cm.

This book provides a full presentation of the current concepts and available techniques to make "machine learning" systems more explainable. The approaches presented can be applied to almost all the current "machine learning" models: linear and logistic regression, deep learning neural networks, natural language processing and image recognition, among the others. Progress in Machine Learning is increasing the use of artificial agents to perform critical tasks previously handled by humans (healthcare, legal and finance, among others) While the principles that guide the design of these agents are understood, most of the current deep-learning models are "opaque" to human understanding. Explainable AI with Python fills the current gap in literature on this emerging topic by taking both a theoretical and a practical perspective, making the reader quickly capable of working with tools and code for Explainable AI.

ISBN: 9783030686406$q(electronic bk.)

Standard No.: 10.1007/978-3-030-68640-6doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5 / .G53 2021

Dewey Class. No.: 006.31

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