Python machine learning

An accessible guide to machine learning principles for programmers. Features hands-on example projects, real-world case studies, and easy-to-understand explanations.Practical Machine Learning is a cle

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4437.

Enhancing Software Fault Prediction With Machine Learning ― Emerging Research and Opportunities

出版日：2017/09/13 作者：Ekbal Rashid 出版社：Engineering Science Reference 裝訂：精裝

"This book presents some new ideas about estimation and evaluation of the quality of software and using a standard conversion method so that lines of code from any language may be compared and be used

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4438.

Machine Learning in Non-Stationary Environments ─ Introduction to Covariate Shift Adaptation

出版日：2012/03/30 作者：Masashi Sugiyama; Motoaki Kawanabe 出版社：Mit Pr 裝訂：精裝

As the power of computing has grown over the past few decades, the field of machinelearning has advanced rapidly in both theory and practice. Machine learning methods are usuallybased on the assumptio

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Beginning Anomaly Detection Using Python-based Deep Learning ― With Keras and Pytorch

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4439.

Beginning Anomaly Detection Using Python-based Deep Learning ― With Keras and Pytorch

出版日：2019/10/11 作者：Sridhar Alla; Suman Kalyan Adari 出版社：Apress 裝訂：平裝

定價：1710 元

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Applied Reinforcement Learning With Python ― With Openai Gym, Tensorflow, Keras, and Pytorch

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Applied Reinforcement Learning With Python ― With Openai Gym, Tensorflow, Keras, and Pytorch

出版日：2019/08/24 作者：Taweh Beysolow 出版社：Apress 裝訂：平裝

定價：1710 元

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