The course emphasizes practical applications in areas such as Data Analysis and Visualization and Machine Learning Model Development. By the end of the course, students will gain hands-on experience with AI technologies, enabling them to use Python for practical problem-solving and to explore innovative approaches in various real-world scenarios.The course emphasizes practical applications in areas such as Data Analysis and Visualization and Machine Learning Model Development. By the end of the course, students will gain hands-on experience with AI technologies, enabling them to use Python for practical problem-solving and to explore innovative approaches in various real-world scenarios.
1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3/e), Aurélien Géron(Author),2022
1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (3/e), Aurélien Géron(Author), 2022
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| Class ParticipationClass Participation class participation |
25 | |
| HomeworkHomework homework |
20 | |
| Midterm ExamMidterm Exam midterm exam |
25 | |
| Final ProjectFinal Project Final project |
30 |
