Applied Machine Learning: Techniques and Applications
Completed by Nils Freitag
April 10, 2025
19 hours (approximately)
Nils Freitag's account is verified. Coursera certifies their successful completion of Applied Machine Learning: Techniques and Applications
What you will learn
Understand and implement machine learning techniques for computer vision tasks, including image recognition and object detection.
Analyze data features and evaluate machine learning model performance using appropriate metrics and evaluation techniques.
Apply data pre-processing methods to clean, transform, and prepare data for effective machine learning model training.
Implement and optimize supervised learning algorithms for classification and regression tasks.
Skills you will gain
- Category: Image Analysis
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Feature Engineering
- Category: Machine Learning Algorithms
- Category: Data Cleansing
- Category: Model Optimization
- Category: Supervised Learning
- Category: Computer Vision
- Category: Data Integration
- Category: Classification Algorithms
- Category: Machine Learning Methods
