What Every Engineer Should Know About Data-Driven Analytics
Phillip A. Laplante & Satish Mahadevan Srinivasan
Language: English
artificial neural networks big data technology content-based filtering convolutional neural networks data collection data-driven analytics deep neural networks hybrid recommendation systems information theory machine learning multiple linear regression model natural language processing predictive analytics recurrent neural networks supervised learning unstructured data unsupervised learning
Published: Feb 14, 2023
Description:
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the machine learning theoretical concepts and approaches that are used in predictive data analytics through practical applications and case studies.