Data Science

Data Science
December 9, 2024

Testing the Vulnerability of Regression Models to Data Manipulation

Data Science
November 5, 2024

Accuracy Degradation Factor: Quantifying Model Performance Shifts Before They Occur

Data Science
October 15, 2024

Understanding the Robustness Attackers for Binary Classification

Data Science
October 22, 2024

Introducing Holistic AI OSL - An Open-Source Library for Responsible AI Systems

Data Science
July 16, 2024

An Overview of Data Contamination: The Causes, Risks, Signs, and Defenses

Data Science
June 5, 2024

What You Need to Know about Knowledge Graphs and RAG Systems

Data Science
June 4, 2024

LLM Summarization Metrics

Data Science
March 25, 2024

Technical Approaches to Managing Personal Data in Large Language Models

Data Science
March 5, 2024

Enhancing Transparency in AI: Explainability Metrics via SHAP Feature Importance with Holistic AI Open-Source Library

Data Science
February 21, 2024

Enhancing Transparency in AI: Explainability Metrics for Machine Learning Predictions

Data Science
February 14, 2024

Enhancing Transparency in AI: Explainability Metrics via LIME with Holistic AI Library

Data Science
January 16, 2024

Holistic AI Library and MLFlow: Creating an End-to-End Application

Data Science
November 8, 2023

Six Methods to Mitigate Bias in Multiclassification Machine Learning Models

Data Science
October 24, 2023

Enhancing Transparency: Explainability Metrics via Permutation Feature Importance using Holistic AI Library

Data Science
September 28, 2023

The Fairness-Accuracy Trade-Off: A Machine Learning Regression Model Case

Data Science
September 8, 2023

The Holistic AI Library's New Explainability Module: Demystifying Black-Box Models

Data Science
August 25, 2023

Measuring Effectiveness in Machine Learning Classification Models

Data Science
August 21, 2023

Visualising Bias Metrics: Insights from Holistic AI's Open-Source Library

Data Science
August 11, 2023

Machine Learning Classification Models: Exploring the Fairness-Accuracy Trade-Off

Data Science
August 4, 2023

Explaining Machine Learning Outputs: The Role of Feature Importance

AI Theory
July 28, 2023

Mitigating Bias in Recommender Systems with Holistic AI

Data Science
July 11, 2023

Debiasing Artificial Neural Networks with Holistic AI and PyTorch

Data Science
June 27, 2023

How to Create Interactive Visualisations in Colab with Holistic AI and Plotly

Data Science
June 20, 2023

Build Your Own Bias Measuring and Mitigation Dashboard in 5 Steps

Data Science
June 16, 2023

Using Python to Mitigate Bias and Discrimination in Machine Learning Models

Data Science
June 8, 2023

Bias Mitigation Strategies and Techniques for Classification Tasks

Data Science
May 30, 2023

Holistic AI Library Tutorial: Bias Measuring and Mitigation in Regression Tasks

AI Risk Management
April 28, 2023

How to Make Artificial Intelligence Safer

Data Science
April 5, 2023

Holistic AI Library Tutorial: Fairness Analysis for Binary Classification with Python

Data Science
March 31, 2023

We are in the Age of AI Economies

Data Science
March 17, 2023

Measuring and Mitigating Bias: Introducing Holistic AI's Open-Source Library

Data Science
March 8, 2023

SHAP Values: An Intersection Between Game Theory and Artificial Intelligence

Data Science
March 2, 2023

Practical and Societal Dimensions of Explainable AI

AI Theory
February 17, 2023

The Rise of Large Language Models: Galactica, ChatGPT, and Bard

Data Science
January 27, 2023

Insightful Resources for Uncovering Bias in English Speech Recognition

NYC Bias Audit
January 23, 2023

Disparate Impact in Bias Audits: Evaluating the DCWP’s Impact Ratio Metrics for Regression Systems

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