- Computer Vision
- Transfer Learning
- Unsupervised Learning
- Applied Machine Learning
- Reinforcement Learning
- Python Programming
- PyTorch (Machine Learning Library)
- Recurrent Neural Networks (RNNs)
- Convolutional Neural Networks
- Image Analysis
- Deep Learning
- Artificial Neural Networks
Introduction to Machine Learning
Completed by TIMOTHY WYSOCKI
December 28, 2020
25 hours (approximately)
TIMOTHY WYSOCKI'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
