Book Content
chapters • 9h8m total length
1. Introduction to Machine Learning on Mobile
2. Supervised and Unsupervised Learning Algorithms
3. Random Forest on iOS
4. Tensor Flow Mobile in Android
5. Regression Using CoreML in iOS
6. ML Kit and Image Labelling
7. Spam Message Detection in iOS - CoreML
8. Fritz – iOS and Android
9. Neural Networks on Mobile
10. Mobile Application using Google Cloud Vision
11. Future of ML on Mobile Applications
12. Appendix














