Index
A
B
C
D
E
F
- false positive rate (FPR) / Optimizing the precision and recall of a classification model
- Fast Fourier Transform
- feature
- feature detectors
- feature engineering
- feature engineering, for ML applications
- feature extraction
- feature importance
- feature map / Convolutional Neural Networks
- feature scaling
- feature selection
- feature set
- feature types
- Fisher's discriminant ratio
- fitted scikit-learn estimators
- Flask
- Flask documentation
- Flask web application
- flower dataset
- forward propagation
- Fourier Transform / Signals
- Fully Connected layer
- functions, for impurity measures
- fuzzifier
- fuzziness
- fuzziness coefficient
- fuzzy C-means (FCM) algorithm
- fuzzy clustering
- fuzzy k-means
G
H
I
J
- Jinja2 syntax
- joblib
- Jupyter
K
L
M
N
O
P
Q
R
S
T
U
- U-Matrix
- underfitting
- unified modelling language (UML)
- unigram model
- unigram tagger
- unsupervised dimensionality reduction, via principal component analysis
- unsupervised learning
V
- v-fold cross-validation
- validation curves
- validation dataset
- validity measure (v-measure)
- vectorization
- version space / Version space
W
X
Y
Z
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