Machine Learning & Image Processing

This course on Machine Learning & Image Processing combines two cutting-edge fields to help students understand and apply machine learning techniques to image data. Designed for beginners and intermediate learners, this course provides an in-depth look at how images can be processed, analyzed, and interpreted using machine learning algorithms. Through real-world applications, you’ll gain hands-on experience in training models to recognize patterns and features in images.

Course Highlights

• Introduction to machine learning algorithms tailored for image processing.
• Hands-on practice using Python and libraries such as OpenCV, TensorFlow, and Keras.
• Image enhancement, filtering, and transformation techniques.
• Neural networks and deep learning models for image classification and recognition.
• Project-based learning: build and train models for tasks like object detection, face recognition, and image segmentation.
• Focus on practical implementation, with multiple datasets and challenges.
• Opportunity to work on a final capstone project.