- Supervised Learning
- Deep Learning
- Image Analysis
- Recurrent Neural Networks (RNNs)
- Computer Vision
- Applied Machine Learning
- Transfer Learning
- Natural Language Processing
- Reinforcement Learning
- Convolutional Neural Networks
- Artificial Neural Networks
- Medical Imaging
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

