- Supervised Learning
- Transfer Learning
- Applied Machine Learning
- Medical Imaging
- Natural Language Processing
- PyTorch (Machine Learning Library)
- Computer Vision
- Deep Learning
- Recurrent Neural Networks (RNNs)
- Machine Learning
- Image Analysis
- Python Programming
Introduction to Machine Learning
Completed by Giorgio Spadaccini
May 8, 2021
25 hours (approximately)
Giorgio Spadaccini'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
