|
gptkbp:instance_of
|
gptkb:software_framework
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:SML_programming_language
gptkb:Standard_ML_of_New_Jersey
|
|
gptkbp:developed_by
|
gptkb:Moscow_Institute_of_Physics_and_Technology
|
|
gptkbp:focus
|
machine learning algorithms
|
|
gptkbp:has_community
|
gptkb:horse_race
gptkb:University
gptkb:physicist
gptkb:political_movement
gptkb:Company
gptkb:Person
gptkb:software
gptkb:Educational_Institution
enthusiasts
professionals
data scientists
open-source contributors
practitioners
analysts
mentors
collaborators
|
|
gptkbp:has_feature
|
gptkb:microprocessor
data preprocessing
hyperparameter tuning
visualization tools
cross-validation
model evaluation
feature selection
ensemble methods
model deployment
decision trees
support vector machines
clustering algorithms
dimensionality reduction
pipeline creation
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Moscow ML
|
|
gptkbp:is_compatible_with
|
gptkb:smartphone
gptkb:operating_system
|
|
gptkbp:is_used_for
|
data analysis
statistical analysis
predictive modeling
|
|
gptkbp:language
|
gptkb:Library
|
|
gptkbp:license
|
MIT License
|
|
gptkbp:provides
|
gptkb:document
tutorials
|
|
gptkbp:release_date
|
gptkb:2019
|
|
gptkbp:repository
|
gptkb:archive
|
|
gptkbp:supports
|
gptkb:Graphics_Processing_Unit
gptkb:scikit-learn
gptkb:Py_Torch
|