Book Content
chapters • 9h16m total length
1. Unsupervised machine learning
2. Deep Belief Networks
3. Stacked Denoising Autoencoders
4. Convolutional Neural Networks
5. Semi supervised learning
6. Text Feature Engineering
7. Feature Engineering (continued)
8. Ensemble Methods
9. Additional Python Machine Learning Tools
10. Appendix A
