- PyTorch (Machine Learning Library)
- Natural Language Processing
- Supervised Learning
- Machine Learning Methods
- Machine Learning
- Image Analysis
- Reinforcement Learning
- Unsupervised Learning
- Deep Learning
- Artificial Neural Networks
- Computer Vision
- Applied Machine Learning
Introduction to Machine Learning
Completed by Keming Zhang
June 18, 2024
25 hours (approximately)
Keming Zhang'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
