AI — Models & Research

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Multi Regression
Formal & Physical Sciences AI — Models & Research
EN

Multi Regression

Machine Learning Practice
12 min
★ ★ ★ ★ ☆ 4/5
Multi-Output RegressionMachine LearningLinear Regression
Limits of the Normal Equation
Formal & Physical Sciences AI — Models & Research
EN

Limits of the Normal Equation

Machine Learning Practice
19 min
★ ★ ★ ★ ☆ 4/5
Normal EquationGradient DescentMachine Learning
Example: Predicting Arm Motion
Formal & Physical Sciences AI — Models & Research
EN

Example: Predicting Arm Motion

Machine Learning Practice
15 min
★ ★ ★ ★ ☆ 4/5
Linear RegressionBrain-Machine InterfaceNeural Data
Sequential Drift Detection
Formal & Physical Sciences AI — Models & Research
EN

Sequential Drift Detection

Samuel Ackerman
34 min
★ ★ ★ ★ ☆ 4/5
Drift DetectionConcept DriftMachine Learning
Logistic Regression
Formal & Physical Sciences AI — Models & Research
EN

Logistic Regression

Machine Learning Practice
26 min
★ ★ ★ ★ ☆ 4/5
Logistic RegressionMachine LearningGradient Descent
Introduction to Classifiers
Formal & Physical Sciences AI — Models & Research
EN

Introduction to Classifiers

Machine Learning Practice
19 min
★ ★ ★ ★ ☆ 4/5
ClassifiersMachine LearningLinear Decision Boundary
Example: Computing Classifier Metrics
Formal & Physical Sciences AI — Models & Research
EN

Example: Computing Classifier Metrics

Machine Learning Practice
22 min
★ ★ ★ ★ ☆ 4/5
Machine LearningClassificationROC Curve
Cross Validation
Formal & Physical Sciences AI — Models & Research
EN

Cross Validation

Machine Learning Practice
15 min
★ ★ ★ ★ ☆ 4/5
Cross-ValidationMachine LearningModel Evaluation
Classifier Performance Measures
Formal & Physical Sciences AI — Models & Research
EN

Classifier Performance Measures

Machine Learning Practice
38 min
★ ★ ★ ★ ☆ 4/5
ClassificationPerformance MetricsROC Curve
Representing Data for Classifiers
Formal & Physical Sciences AI — Models & Research
EN

Representing Data for Classifiers

Machine Learning Practice
13 min
★ ★ ★ ★ ☆ 4/5
Data RepresentationMachine LearningPandas
Multi-class Classification
Formal & Physical Sciences AI — Models & Research
EN

Multi-class Classification

Machine Learning Practice
14 min
★ ★ ★ ★ ☆ 4/5
Multi-Class ClassificationOne-vs-OneOne-vs-All
Implementing Data Processing Pipelines
Formal & Physical Sciences AI — Models & Research
EN

Implementing Data Processing Pipelines

Machine Learning Practice
20 min
★ ★ ★ ★ ☆ 4/5
Scikit-LearnPipelineData Preprocessing
Example: Using Cross Validation
Formal & Physical Sciences AI — Models & Research
EN

Example: Using Cross Validation

Machine Learning Practice
15 min
★ ★ ★ ★ ☆ 4/5
Cross-ValidationScikit-LearnMachine Learning
Example: Multi Class Classification
Formal & Physical Sciences AI — Models & Research
EN

Example: Multi Class Classification

Machine Learning Practice
29 min
★ ★ ★ ★ ☆ 4/5
Multi-Class ClassificationScikit-LearnSGDClassifier
Bayesian network revisited
Formal & Physical Sciences AI — Models & Research
EN

Bayesian network revisited

Machine Learning Concepts
78 min
★ ★ ★ ☆ ☆ 3/5
Bayesian NetworksCausal InferenceIndependence
Mitigating Adversarial Text Perturbation
Formal & Physical Sciences AI — Models & Research
EN

Mitigating Adversarial Text Perturbation

Resica (with co-authors Mohammed Anand and Igor)
13 min
★ ★ ★ ★ ☆ 4/5
Adversarial AttacksText PerturbationWord Embeddings
La BACK-PROPAGATION - DEEP LEARNING 8
Formal & Physical Sciences AI — Models & Research
EN

La BACK-PROPAGATION - DEEP LEARNING 8

Guillaume Saint-Cirgue
31 min
★ ★ ★ ★ ★ 5/5
BackpropagationDeep LearningNeural Networks
How can ERM be fooled?
Formal & Physical Sciences AI — Models & Research
EN

How can ERM be fooled?

Dr. Eitan Farchi (IBM)
21 min
★ ★ ★ ★ ☆ 4/5
Empirical Risk MinimizationMachine LearningProbability Theory