- Artificial Neural Networks
- Medical Imaging
- Reinforcement Learning
- Computer Vision
- Recurrent Neural Networks (RNNs)
- Unsupervised Learning
- Image Analysis
- Convolutional Neural Networks
- Python Programming
- Supervised Learning
- Deep Learning
- PyTorch (Machine Learning Library)
Introduction to Machine Learning
Completed by Killi Avinash
May 14, 2020
25 hours (approximately)
Killi Avinash'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
