Applying Permutation Channel Importance (PCI) to a Remote Sensing Model | Python Tutorial
20:31
Applying Permutation Channel Importance (PCI) to a Remote Sensing Model | Python Tutorial
2 ай бұрын
Explaining Computer Vision Models with PCI
10:13
Explaining Computer Vision Models with PCI
2 ай бұрын
Explaining Anomalies with Isolation Forest and SHAP | Python Tutorial
26:19
Explaining Anomalies with Isolation Forest and SHAP | Python Tutorial
3 ай бұрын
SHAP with CatBoostClassifier for Categorical Features | Python Tutorial
8:41
SHAP with CatBoostClassifier for Categorical Features | Python Tutorial
3 ай бұрын
Applying LIME with Python | Local & Global Interpretations
9:42
Applying LIME with Python | Local & Global Interpretations
6 ай бұрын
An introduction to LIME for local interpretations | Intuition and Algorithm |
8:36
An introduction to LIME for local interpretations | Intuition and Algorithm |
6 ай бұрын
Friedman's H-statistic Python Tutorial | Artemis Package
8:20
Friedman's H-statistic Python Tutorial | Artemis Package
7 ай бұрын
Friedman's H-statistic for Analysing Interactions | Maths and Intuition
15:06
Friedman's H-statistic for Analysing Interactions | Maths and Intuition
7 ай бұрын
Accumulated Local Effect Plots (ALEs) | Explanation & Python Code
13:44
Accumulated Local Effect Plots (ALEs) | Explanation & Python Code
7 ай бұрын
PDPs and ICE Plots | Python Code | scikit-learn Package
12:57
PDPs and ICE Plots | Python Code | scikit-learn Package
7 ай бұрын
Partial Dependence (PDPs) and Individual Conditional Expectation (ICE) Plots | Intuition and Math
11:55
Partial Dependence (PDPs) and Individual Conditional Expectation (ICE) Plots | Intuition and Math
8 ай бұрын
Permutation Feature Importance from Scratch | Explanation & Python Code
13:10
Permutation Feature Importance from Scratch | Explanation & Python Code
8 ай бұрын
Model Agnostic Methods for XAI | Global v.s. Local | Permutation v.s. Surrogate Models
8:38
Model Agnostic Methods for XAI | Global v.s. Local | Permutation v.s. Surrogate Models
8 ай бұрын
8 Plots for Explaining Linear Regression | Residuals, Weight, Effect & SHAP
13:39
8 Plots for Explaining Linear Regression | Residuals, Weight, Effect & SHAP
8 ай бұрын
Feature Selection using Hierarchical Clustering | Python Tutorial
15:55
Feature Selection using Hierarchical Clustering | Python Tutorial
9 ай бұрын
8 Characteristics of a Good Machine Learning Feature | Predictive, Variety, Interpretability, Ethics
16:16
8 Characteristics of a Good Machine Learning Feature | Predictive, Variety, Interpretability, Ethics
9 ай бұрын
Interpretable Feature Engineering | How to Build Intuitive Machine Learning Features
15:07
Interpretable Feature Engineering | How to Build Intuitive Machine Learning Features
9 ай бұрын
Modelling Non-linear Relationships with Regression
9:32
Modelling Non-linear Relationships with Regression
9 ай бұрын
Explaining Machine Learning to a Non-technical Audience
13:23
Explaining Machine Learning to a Non-technical Audience
10 ай бұрын
Get more out of Explainable AI (XAI): 10 Tips
13:47
Get more out of Explainable AI (XAI): 10 Tips
10 ай бұрын
The 6 Benefits of Explainable AI (XAI) | Improve accuracy, decrease harm and tell better stories
15:05
The 6 Benefits of Explainable AI (XAI) | Improve accuracy, decrease harm and tell better stories
10 ай бұрын
Introduction to Explainable AI (XAI) | Interpretable models, agnostic methods, counterfactuals
11:51
Introduction to Explainable AI (XAI) | Interpretable models, agnostic methods, counterfactuals
10 ай бұрын
Data Science vs Science | Differences & Bridging the Gap
11:09
Data Science vs Science | Differences & Bridging the Gap
Жыл бұрын
About the Channel and my Background | ML, XAI and Remote Sensing
3:32
About the Channel and my Background | ML, XAI and Remote Sensing
Жыл бұрын
SHAP for Binary and Multiclass Target Variables | Code and Explanations for Classification Problems
12:59
SHAP for Binary and Multiclass Target Variables | Code and Explanations for Classification Problems
Жыл бұрын
Introduction to Algorithm Fairness | Causes, Measuring & Preventing Unfairness in Machine Learning
5:46
Introduction to Algorithm Fairness | Causes, Measuring & Preventing Unfairness in Machine Learning
Жыл бұрын
SHAP Violin and Heatmap Plots | Interpretations and New Insights
5:26
SHAP Violin and Heatmap Plots | Interpretations and New Insights
Жыл бұрын
Correcting Unfairness in Machine Learning | Pre-processing, In-processing, Post-processing
9:01
Correcting Unfairness in Machine Learning | Pre-processing, In-processing, Post-processing
Жыл бұрын
Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact
10:32
Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds & Disparate Impact
Жыл бұрын
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