- Applied Machine Learning
- Machine Learning
- Supervised Learning
- Artificial Neural Networks
- Computer Vision
- Python Programming
- Recurrent Neural Networks (RNNs)
- Natural Language Processing
- Deep Learning
- Unsupervised Learning
- PyTorch (Machine Learning Library)
- Convolutional Neural Networks
Introduction to Machine Learning
Completed by Koh Zhi Cong Windsor
April 28, 2021
25 hours (approximately)
Koh Zhi Cong Windsor'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
