- PyTorch (Machine Learning Library)
- Artificial Neural Networks
- Reinforcement Learning
- Image Analysis
- Convolutional Neural Networks
- Applied Machine Learning
- Recurrent Neural Networks (RNNs)
- Logistic Regression
- Machine Learning
- Medical Imaging
- Unsupervised Learning
- Computer Vision
Introduction to Machine Learning
Completed by HSIN-HUA YANG
April 20, 2024
25 hours (approximately)
HSIN-HUA YANG's account is verified. Coursera certifies their successful completion of Introduction to Machine Learning
What you will learn
Explain various machine learning models and how they can solve complex problems in multiple industries from medical diagnostics to text prediction.
Implement data science models on datasets through hands-on practice exercises.Â
Skills you will gain
