AI glossary: terms starting with V
17 terms starting with V, each defined the way the lesson that teaches it uses it, with a link to every lesson where it appears.
- validation curve
Training and validation score against a hyperparameter.
- validation partition
Rows excluded from this lesson's exploratory calculation and later model fitting.
- validation score
Performance calculated on data withheld from fitting.
Taught in- validation set
Data kept apart for choosing between versions of a model, so the final test is used once (Module 4).
- value
What a dictionary stores for each key, such as
12.50for"Pasta". Values can be anything, including lists and dictionaries.Taught in- variable
A name given to a value. In Python, a name that refers to an object.
- variance
the mean squared distance from the mean
Example:
5- variance inflation factor
How many times larger a coefficient's variance is because the feature can be predicted from the other features:
1 / (1 − R²).Taught in- vector
an ordered list of numbers, written bold
Example:
𝐰 = (3, −1)- vector addition
add matching components; head to tail
Example:
(3, 1) + (1, 2) = (4, 3)- Vectorisation
Applying an operation to an entire array instead of a Python loop over its elements
- vertex
the lowest or highest point of a parabola
Example:
(3, 1)for2(x − 3)² + 1Taught in- View
An array sharing data with another array
- violin plot
A mirrored estimated density for each group, often with summary marks inside.
Taught in- virtual environment
A folder with its own Python and its own installed packages, for one project:
.venv.- Voronoi cell
The region nearest to one training row.
Taught in- vote
The count of each label among them.
Taught in