- Image Analysis
- Machine Learning
- Medical Imaging
- Transfer Learning
- Artificial Neural Networks
- Convolutional Neural Networks
- Reinforcement Learning
- PyTorch (Machine Learning Library)
- Logistic Regression
- Supervised Learning
- Deep Learning
- Python Programming
Introduction to Machine Learning
Completed by Kelvin Chuxiang Wang
November 29, 2022
25 hours (approximately)
Kelvin Chuxiang Wang'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
