Titlebook: Machine Learning Crash Course for Engineers; Eklas Hossain Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exclusive

constitute

State of the Art of Machine Learning,mple. This chapter concludes with a discussion of the limitations and future possibilities of artificial intelligence. By the end of this chapter, the readers will be introduced to the latest technologies of machine learning to keep abreast with the widespread pace of its development.

期满

Introduction to Machine Learning,l intelligence, data science, and deep learning. Then, the historical development of machine learning is presented in a chronological table. Thereafter, the motivation, purpose, and importance of machine learning are described in the light of some real-life examples. After that, the prerequisite kno

commonsense

Evaluation Criteria and Model Selection,explanations and mathematical examples of different error criteria. Then, some frequently used distance metrics in machine learning are briefly explained. Some mathematical examples and Python code implementation are provided for error and distance metrics. Then, the chapter discusses the confusion

独行者

Machine Learning Algorithms,cussing the necessary concepts of dataset handling, such as data wrangling, feature scaling, different data types, and data splitting. Next, we move on to the detailed classification of some prominent machine learning techniques—supervised learning (regression and classification), deep learning (art

自恋

赏心悦目

Applications of Machine Learning: Energy Systems,ly analysis, including fault detection, classification, and partial discharge detection. Then, the future trend of solar photovoltaic installed capacity and wind power output is predicted using machine learning. Finally, this chapter discusses a machine learning-based approach to reactive power cont

Irritate

色情

痛苦一下

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