Difference between revisions of "Machine Learning"
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| + | == Types of Machine Learning == | ||
| + | |||
| + | * Supervised Learning | ||
| + | ** Regrassion | ||
| + | ** Classification | ||
| + | * Unsupervised Learning | ||
| + | ** Clustering | ||
| + | |||
| + | |||
== Linear Regression == | == Linear Regression == | ||
== Classification Problem == | == Classification Problem == | ||
$\log yh_\theta(x) + (1-y) \log (1-h_\theta(x))$ comes from Maximum Likelihood Method in Statistics | $\log yh_\theta(x) + (1-y) \log (1-h_\theta(x))$ comes from Maximum Likelihood Method in Statistics | ||
Revision as of 19:21, 2 February 2014
Types of Machine Learning
- Supervised Learning
- Regrassion
- Classification
- Unsupervised Learning
- Clustering
Linear Regression
Classification Problem
$\log yh_\theta(x) + (1-y) \log (1-h_\theta(x))$ comes from Maximum Likelihood Method in Statistics