- Applied Machine Learning
- Logistic Regression
- Deep Learning
- Natural Language Processing
- Recurrent Neural Networks (RNNs)
- Reinforcement Learning
- Convolutional Neural Networks
- Machine Learning
- Unsupervised Learning
- Supervised Learning
- Medical Imaging
- Image Analysis
Introduction to Machine Learning
Completed by Muhammad Eisa
August 20, 2023
25 hours (approximately)
Muhammad Eisa'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
