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Econometrics, Artificial Intelligence, Machine Learning

The Need for Explainable and Accountable Models in AI

3 hours ago

Artificial intelligence (AI) and machine learning (ML) are transforming industries at an unprecedented rate. From healthcare to finance, the deployment of AI models has brought significant advantages in automating decisions and predicting outcomes. However, as these…

Artificial Intelligence, Machine Learning

Transparency in AI: It’s Not About Showing the Code

8 Aug at 09:53

When discussing AI transparency, one of the most common misconceptions is that it simply involves revealing the algorithm’s source code. While open-source AI systems certainly have their merits, true transparency is about much more than just…

Econometrics, Machine Learning

Addressing Reverse Causality in Data Science Consultancy Projects

14 Jul at 12:15

In data analysis, understanding the direction of causality between variables is crucial for making informed decisions. For example, does poor sleep lead to depression or does depression lead to poor sleep? At Marketways, we employ various…

Econometrics

Controlling for Unobserved Heterogeneity in Statistical Modelling

7 Jun at 09:31

A Key to Accurate Insights In the realm of statistical modelling, controlling for unobserved heterogeneity is crucial. Unobserved heterogeneity refers to factors that influence the outcome variable but are not directly observed or measured in the…

Artificial Intelligence

Fine Tuning Large Language Models (LLM) Chatbots

28 Apr at 17:27

The integration of Large Language Models (LLMs) into chatbots has revolutionized various industries and sectors. These advanced AI-powered assistants are capable of understanding and generating human-like text, opening up a plethora of possibilities for enhancing user…

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The Information Highway to your Market!

Related Articles

The Need for Explainable and Accountable Models in AI

Transparency in AI: It’s Not About Showing the Code

Addressing Reverse Causality in Data Science Consultancy Projects

Controlling for Unobserved Heterogeneity in Statistical Modelling

Fine Tuning Large Language Models (LLM) Chatbots

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