- Deep Learning
- Unsupervised Learning
- Artificial Neural Networks
- Convolutional Neural Networks
- Supervised Learning
- Image Analysis
- Python Programming
- Recurrent Neural Networks (RNNs)
- Applied Machine Learning
- PyTorch (Machine Learning Library)
- Logistic Regression
- Reinforcement Learning
Introduction to Machine Learning
Completed by Rubén Guillermo Jimeno del Rincon
September 21, 2021
25 hours (approximately)
Rubén Guillermo Jimeno del Rincon'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
