- Reinforcement Learning
- Logistic Regression
- Applied Machine Learning
- Python Programming
- Machine Learning
- Recurrent Neural Networks (RNNs)
- PyTorch (Machine Learning Library)
- Convolutional Neural Networks
- Medical Imaging
- Natural Language Processing
- Unsupervised Learning
- Supervised Learning
Introduction to Machine Learning
Completed by Roman Kovalchuk
May 3, 2021
25 hours (approximately)
Roman Kovalchuk'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
