AI — Models & Research

2463 tuit · page 61/62
FEATURE SELECTION avec SKLEARN (23/30)
Formal & Physical Sciences AI — Models & Research
EN

FEATURE SELECTION avec SKLEARN (23/30)

Guillaume Saint-Cirgue
26 min
★ ★ ★ ★ ☆ 4/5
Feature SelectionScikit-LearnMachine Learning
SKLEARN IMPUTER : NETTOYAGE DE DONNÉES
Formal & Physical Sciences AI — Models & Research
EN

SKLEARN IMPUTER : NETTOYAGE DE DONNÉES

Guillaume Saint-Cirgue
12 min
★ ★ ★ ★ ☆ 4/5
Scikit-LearnImputationData Cleaning
SKLEARN PIPELINE AVANCÉE
Formal & Physical Sciences AI — Models & Research
EN

SKLEARN PIPELINE AVANCÉE

Guillaume Saint-Cirgue
14 min
★ ★ ★ ★ ☆ 4/5
Scikit-LearnPipelineMachine Learning
Mind-Machine Interfaces
Life & Natural Systems AI — Models & Research
EN

Mind-Machine Interfaces

Isaac Arthur
30 min
★ ★ ★ ★ ☆ 4/5
Brain-Computer InterfaceNeuralinkNeurotechnology
RÉGRESSION LINÉAIRE NUMPY - ML#8
Formal & Physical Sciences AI — Models & Research
EN

RÉGRESSION LINÉAIRE NUMPY - ML#8

Guillaume Saint-Cirgue
23 min
★ ★ ★ ★ ☆ 4/5
Linear RegressionNumPyMachine Learning
RÉGRESSION LINÉAIRE (partie 2/2) - ML#6
Formal & Physical Sciences AI — Models & Research
EN

RÉGRESSION LINÉAIRE (partie 2/2) - ML#6

Guillaume Saint-Cirgue
13 min
★ ★ ★ ★ ★ 5/5
Linear RegressionMatrix AlgebraMachine Learning
MATRICES ET NUMPY - ML#5
Formal & Physical Sciences AI — Models & Research
EN

MATRICES ET NUMPY - ML#5

Guillaume Saint-Cirgue
11 min
★ ★ ★ ★ ☆ 4/5
NumPyMatrixMachine Learning
COMMENT FONCTIONNE LE MACHINE LEARNING ?
Formal & Physical Sciences AI — Models & Research
EN

COMMENT FONCTIONNE LE MACHINE LEARNING ?

Guillaume Saint-Cirgue
19 min
★ ★ ★ ★ ☆ 4/5
Machine LearningSupervised LearningUnsupervised Learning
Human Authentication Using Facial Cues
Applied Sciences & Engineering AI — Models & Research
EN

Human Authentication Using Facial Cues

Fernando Alonso-Fernandez
40 min
★ ★ ★ ★ ☆ 4/5
BiometricsFace RecognitionPeriocular
Deep Learning for SPECT, SPECT/CT and PET
Applied Sciences & Engineering AI — Models & Research
EN

Deep Learning for SPECT, SPECT/CT and PET

Seoul National University nuclear medicine
57 min
★ ★ ★ ★ ☆ 4/5
Deep LearningSPECTPET
BRAIN 2025, Prof. Terry Sejnowski
Life & Natural Systems AI — Models & Research
EN

BRAIN 2025, Prof. Terry Sejnowski

Prof. Terry Sejnowski
14 min
★ ★ ★ ★ ☆ 4/5
BRAIN InitiativeNeurotechnologyComputational Neuroscience
Default Logic
Formal & Physical Sciences AI — Models & Research
EN

Default Logic

Artificial Intelligence (channel)
35 min
★ ★ ★ ★ ☆ 4/5
Default LogicNon-Monotonic ReasoningKnowledge Representation
Autoepistemc Logic
Formal & Physical Sciences AI — Models & Research
EN

Autoepistemc Logic

Artificial Intelligence
42 min
★ ★ ★ ★ ☆ 4/5
Autoepistemic LogicNonmonotonic ReasoningBelief Logic
Taxonomies and Inheritance
Formal & Physical Sciences AI — Models & Research
EN

Taxonomies and Inheritance

Artificial Intelligence
31 min
★ ★ ★ ★ ☆ 4/5
Inheritance NetworksKnowledge RepresentationDefeasible Reasoning
Natural Language Semantics
Formal & Physical Sciences AI — Models & Research
EN

Natural Language Semantics

Artificial Intelligence (channel)
30 min
★ ★ ★ ★ ☆ 4/5
Conceptual DependencyNatural Language UnderstandingKnowledge Representation
Resource Description Framework (RDF)
Formal & Physical Sciences AI — Models & Research
EN

Resource Description Framework (RDF)

Artificial Intelligence
33 min
★ ★ ★ ★ ☆ 4/5
RDFSemantic WebKnowledge Representation
English to CD Theory
Formal & Physical Sciences AI — Models & Research
EN

English to CD Theory

Artificial Intelligence
33 min
★ ★ ★ ★ ☆ 4/5
Conceptual DependencyNatural Language ProcessingKnowledge Representation