- Machine Learning
- Unsupervised Learning
- Recurrent Neural Networks (RNNs)
- Applied Machine Learning
- PyTorch (Machine Learning Library)
- Transfer Learning
- Medical Imaging
- Artificial Neural Networks
- Logistic Regression
- Supervised Learning
- Natural Language Processing
- Convolutional Neural Networks
Introduction to Machine Learning
Completed by Dániel Erős
December 26, 2023
25 hours (approximately)
Dániel Erős'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.
Skills you will gain
