- Unsupervised Learning
- Image Analysis
- Reinforcement Learning
- Convolutional Neural Networks
- Machine Learning
- Supervised Learning
- Python Programming
- Deep Learning
- Artificial Neural Networks
- Applied Machine Learning
- Recurrent Neural Networks (RNNs)
- Computer Vision
Introduction to Machine Learning
Completed by Lu Trong Khiem Nguyen
December 7, 2024
25 hours (approximately)
Lu Trong Khiem Nguyen'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
