Machine learning

Thema UYQM

849 tuit · page 21/22
Gradient Descent | Neural Networks
Formal & Physical Sciences AI — Models & Research
EN

Gradient Descent | Neural Networks

Shree Nayar
15 min
★ ★ ★ ★ ★ 5/5
Gradient DescentNeural NetworksOptimization
Bayesian Networks independence I
Formal & Physical Sciences AI — Models & Research
EN

Bayesian Networks independence I

Machine Learning Concepts
10 min
★ ★ ★ ★ ☆ 4/5
Bayesian NetworksConditional IndependenceProbability Theory
Machine Learnia, La suite commence ici.
Applied Sciences & Engineering AI — Models & Research
EN

Machine Learnia, La suite commence ici.

Guillaume Saint-Cirgue
12 min
★ ★ ★ ☆ ☆ 3/5
Machine LearningDeep LearningData Science
Support Vector Machine | Face Detection
Formal & Physical Sciences AI — Models & Research
EN

Support Vector Machine | Face Detection

Shree Nayar
14 min
★ ★ ★ ★ ☆ 4/5
Support Vector MachineFace DetectionComputer Vision
VC dimension I
Formal & Physical Sciences AI — Models & Research
EN

VC dimension I

Dr. Eitan Farchi (IBM)
14 min
★ ★ ★ ★ ☆ 4/5
VC DimensionMachine LearningShattering
explaining PAC
Formal & Physical Sciences AI — Models & Research
EN

explaining PAC

Dr. Eitan Farchi
21 min
★ ★ ★ ★ ☆ 4/5
PAC LearningMachine LearningProbably Approximately Correct
A simple example of PAC learning
Formal & Physical Sciences AI — Models & Research
EN

A simple example of PAC learning

Dr. Eitan Farchi (IBM R&D)
23 min
★ ★ ★ ★ ☆ 4/5
PAC LearningMachine LearningProbably Approximately Correct
Curse of dimensionality
Formal & Physical Sciences AI — Models & Research
EN

Curse of dimensionality

Dr. Eitan Farchi
13 min
★ ★ ★ ★ ☆ 4/5
Curse of DimensionalityMonte Carlo SimulationHigh-Dimensional Geometry
Union bound and ML theory
Formal & Physical Sciences AI — Models & Research
EN

Union bound and ML theory

Dr. Eitan Farchi
13 min
★ ★ ★ ☆ ☆ 3/5
Union BoundPAC LearningMachine Learning Theory
Training Fully Quantum Boltzmann Machines
Formal & Physical Sciences AI — Models & Research
EN

Training Fully Quantum Boltzmann Machines

Nathan Wiebe
82 min
★ ★ ★ ★ ☆ 4/5
Quantum Machine LearningBoltzmann MachinesQuantum Neural Networks
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
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