Applied Machine Learning
(การประยุกต์ใช้การเรียนรู้ของเครื่อง)
Definition
Applied Machine Learning (การประยุกต์ใช้การเรียนรู้ของเครื่อง) Hard Skill
The practical use of machine learning techniques and algorithms to solve real-world problems by developing, training, and deploying models effectively.
Expertise Level
Level 1
Basic
1. Understands fundamental machine learning concepts and terminology.
2. Can implement basic supervised and unsupervised learning algorithms using standard libraries.
3. Able to preprocess and clean simple datasets for model training.
Level 2
Intermediate
1. Can select and tune appropriate machine learning models for mid-complexity problems.
2. Able to handle larger datasets and perform feature engineering.
3. Understands model evaluation techniques and can optimize model performance.
Level 3
Advanced
1. Designs and deploys complex machine learning solutions for real-world applications.
2. Can integrate advanced algorithms including deep learning and ensemble methods.
3. Proficient in model interpretability, scalability, and maintenance in production environments.
