ⵣⵔⵢ ⵖⵔ ⵓⴳⴱⵓⵔ ⴰⴳⵊⴷⴰⵏ

ⴰⵙⵇⵙⵉ ⵏ ⵉⵙⵇⵙⵉⵜⵏ ⵏ ⵓⵙⴼⵙⵔ

ⵀⴻⵢⵢⵉ-ⴷ ⵉⵎⴰⵏ-ⵉⴽ. ⴱⴷⴷⴰ ⴰⵔ ⵜⵙⵏⵎⴰⵍⴰⴷ ⵙⴳ ⵢⴰⵏ ⵓⵙⵎⵓⵜⵜⴳ ⵏ ⵉⵙⵇⵙⵉⵜⵏ ⵏ ⵜⵙⵏⵓⵔⴰⵢⵜ ⵏ ⵜⵉⴷⵜ.

Anomaly Detection

ⴰⵎⴽⴰⵏ:ⴰⵙⵍⵎⴷ ⵏ ⵜⵎⴰⵛⵉⵏⵜⵜⴰⵎⵢⴰⵖⵜ:ⵊⵓⵏⵢⵓⵕ
ⵜⵜⴼⴰⵚⵉⵍ

Overfitting/Underfitting

ⴰⵎⴽⴰⵏ:ⴰⵙⵍⵎⴷ ⵏ ⵜⵎⴰⵛⵉⵏⵜⵜⴰⵎⵢⴰⵖⵜ:ⵊⵓⵏⵢⵓⵕ
ⵜⵜⴼⴰⵚⵉⵍ

Semi-Supervised Learning

ⴰⵎⴽⴰⵏ:ⴰⵙⵍⵎⴷ ⵏ ⵜⵎⴰⵛⵉⵏⵜⵜⴰⵎⵢⴰⵖⵜ:ⵊⵓⵏⵢⵓⵕ
ⵜⵜⴼⴰⵚⵉⵍ

t-SNE

ⴰⵎⴽⴰⵏ:ⴰⵙⵍⵎⴷ ⵏ ⵜⵎⴰⵛⵉⵏⵜⵜⴰⵎⵢⴰⵖⵜ:ⵜⴰⵍⴻⵎⵎⴰⵙⵜ
ⵜⵜⴼⴰⵚⵉⵍ

PCA

ⴰⵎⴽⴰⵏ:ⴰⵙⵍⵎⴷ ⵏ ⵜⵎⴰⵛⵉⵏⵜⵜⴰⵎⵢⴰⵖⵜ:ⵎⵉⴷ-ⵙⵉⵏⵉⵓⵔ
ⵜⵜⴼⴰⵚⵉⵍ

L2 Regularization

ⴰⵎⴽⴰⵏ:ⴰⵙⵍⵎⴷ ⵏ ⵜⵎⴰⵛⵉⵏⵜⵜⴰⵎⵢⴰⵖⵜ:ⵊⵓⵏⵢⵓⵕ
ⵜⵜⴼⴰⵚⵉⵍ

Bias-Variance Decomposition

ⴰⵎⴽⴰⵏ:ⴰⵙⵍⵎⴷ ⵏ ⵜⵎⴰⵛⵉⵏⵜⵜⴰⵎⵢⴰⵖⵜ:ⵊⵓⵏⵢⵓⵕ
ⵜⵜⴼⴰⵚⵉⵍ

Gradient Boosting Machines

ⴰⵎⴽⴰⵏ:ⴰⵙⵍⵎⴷ ⵏ ⵜⵎⴰⵛⵉⵏⵜⵜⴰⵎⵢⴰⵖⵜ:ⵜⴰⵍⴻⵎⵎⴰⵙⵜ
ⵜⵜⴼⴰⵚⵉⵍ

Random Forests

ⴰⵎⴽⴰⵏ:ⴰⵙⵍⵎⴷ ⵏ ⵜⵎⴰⵛⵉⵏⵜⵜⴰⵎⵢⴰⵖⵜ:ⵎⵉⴷ-ⵙⵉⵏⵉⵓⵔ
ⵜⵜⴼⴰⵚⵉⵍ

Gaussian Processes

ⴰⵎⴽⴰⵏ:ⴰⵙⵍⵎⴷ ⵏ ⵜⵎⴰⵛⵉⵏⵜⵜⴰⵎⵢⴰⵖⵜ:ⵎⵉⴷ-ⵙⵉⵏⵉⵓⵔ
ⵜⵜⴼⴰⵚⵉⵍ
0 of 35 row(s) selected.