- Reinforcement Learning
- Recurrent Neural Networks (RNNs)
- Image Analysis
- Machine Learning
- Logistic Regression
- Applied Machine Learning
- PyTorch (Machine Learning Library)
- Convolutional Neural Networks
- Medical Imaging
- Deep Learning
- Artificial Neural Networks
- Python Programming
Introduction to Machine Learning
Completed by Arsha Ravichandrakumar Seena
July 4, 2019
25 hours (approximately)
Arsha Ravichandrakumar Seena'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
