- Transfer Learning
- Reinforcement Learning
- Natural Language Processing
- Supervised Learning
- Artificial Neural Networks
- Medical Imaging
- Logistic Regression
- Unsupervised Learning
- Recurrent Neural Networks (RNNs)
- Python Programming
- PyTorch (Machine Learning Library)
- Deep Learning
Introduction to Machine Learning
Completed by Xing He
October 7, 2019
25 hours (approximately)
Xing He'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
