4. How? Implementations
- The computing “muscle” required to do ML became
available for commercial use
- Algorithms - aka the though bit - became publicly
accessible through OSS projects
- The applications are endless - ML has a place in
most businesses nowadays
5. How? Applications
This is just a over simplified subset of what’s actually happening.
Done exclusively for the purposes of this presentation🌚 🌚
Age Gender Height(m) Body fat %
20 Male 1.79 19
34 Female 1.67 29
Features
Predictions
6. In the wild
- Cancer prediction & prognosis[1]
- Tuning trading algorithms
- Content tailoring
[1] http://www.sciencedirect.com/science/article/pii/S2001037014000464
7. In the wild - Content based platforms
Can be dynamically fabricated
by classifying content