- Deep Learning
- Applied Machine Learning
- Natural Language Processing
- Artificial Neural Networks
- Transfer Learning
- Unsupervised Learning
- Machine Learning
- Computer Vision
- Logistic Regression
- PyTorch (Machine Learning Library)
- Convolutional Neural Networks
- Recurrent Neural Networks (RNNs)
Introduction to Machine Learning
Completed by Jack W Hanke
April 16, 2021
25 hours (approximately)
Jack W Hanke'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
