Data Driven Model Learning for Engineers is popular PDF and ePub book, written by Guillaume Mercère in 2023-08-09, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Data Driven Model Learning for Engineers can be Read Online from any device for your convenience.
Data Driven Model Learning for Engineers Book PDF Summary
The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learning algorithms available for engineers, then illustrate their applicability directly with stationary time series. A multi-step approach is introduced for modeling time series which differs from the mainstream in the literature. Singular spectrum analysis of univariate time series, trend and seasonality modeling with least squares and residual analysis, and modeling with ARMA models are discussed in more detail. As applications of data-driven model learning become widespread in society, engineers need to understand its underlying principles, then the skills to develop and use the resulting data-driven model learning solutions. After reading this book, the users will have acquired the background, the knowledge and confidence to (i) read other model learning textbooks more easily, (ii) use linear algebra and statistics for data analysis and modeling, (iii) explore other fields of applications where model learning from data plays a central role. Thanks to numerous illustrations and simulations, this textbook will appeal to undergraduate and graduate students who need a first course in data-driven model learning. It will also be useful for practitioners, thanks to the introduction of easy-to-implement recipes dedicated to stationary time series model learning. Only a basic familiarity with advanced calculus, linear algebra and statistics is assumed, making the material accessible to students at the advanced undergraduate level.
Detail Book of Data Driven Model Learning for Engineers PDF
- Author : Guillaume Mercère
- Release : 09 August 2023
- Publisher : Springer Nature
- ISBN : 9783031316364
- Genre : Mathematics
- Total Page : 218 pages
- Language : English
- PDF File Size : 18,7 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Data Driven Model Learning for Engineers by Guillaume Mercère, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.