Machine Learning
Machine Learning
Machine Learning
Set of flashcards Details
| Flashcards | 22 |
|---|---|
| Language | Deutsch |
| Category | Computer Science |
| Level | University |
| Created / Updated | 30.04.2020 / 02.05.2020 |
| Licencing | Not defined |
| Weblink |
https://card2brain.ch/box/20200430_machine_learning
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realizable
if the hypothesis space contains the true functions
Trade off Accuracy vs. Generalization
Tradeoff between complex hypothesis that fit well and a simpler hypothesis that generalize well
Supervised learning (x,y)? y=f(x)? and h?
(x,y) input-output pair
y = f(x) true function to be approximated
h hypothesis
inducitve learning
learning a general function (generalization)
deductive learning
from known general function to a new rule
reinforcment learning
agent decides at the end by its own if id did right (exampel with taxi driver - tip or no tip)
or how to act or behave when given occasional reward
No free lunch theorem
No universally best Model. A set of assumptions work well for a Problem A but necesseraly for Problem B. Diffrent Models lead to diffrent Algo.
Types of Machine Learning
Supervised: input-output value pair
Unsupervised: classification
Reinforcment:
