July 2023

Hyperparameter Tuning and Evaluation of ML Models

Hyperparameter Tuning and Evaluation of ML Models

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Developing an effective and accurate ML model to solve a problem is one of the goals of any AI project. To optimize the model, we need to tune its parameters and hyperparameters and then evaluate whether the updates result in the anticipated improvements. This requires setting up key metrics and defining a model evaluation procedure. After implementing the changes and conducting evaluation, we can determine if the performance of the ML model has improved and whether we should […]

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Haskell in Production: Verity

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In this edition of our Haskell in Production series, we interview developers from Verity – a company that provides integrated solutions for modern asset management. Questions in this article were answered jointly by Dima Rogozin, VP of Engineering at Verity, and Arsani Gaied and Tim McIver who are senior Haskell developers at the company. Read further to learn why they use Haskell and what has been their experience so far. Interview with Verity Could you give our readers […]

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What Is Prompt Engineering?

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According to Generative AI statistics, by 2025 10% of data generated globally will be created by artificial intelligence. While you might think that anyone can ask AI to create texts, images, and even code, many people make it their job. Career website Indeed displays almost 4,000 jobs in the USA for the so-called “prompt engineers” or “AI whisperers”. As generative neural networks become more and more widespread, the art of being able to communicate with them is becoming […]

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A Guide to F1 Score

A Guide to F1 Score

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Effective evaluation metrics are crucial in assessing the performance of machine learning models. One of such metrics is the F1 score, which is widely used for classification problems, information retrieval, and NLP tasks. In this blog post, we’ll explore the foundational concepts of the F1 score, discuss its limitations, and look at use cases across diverse domains. What is the F1 score in machine learning? The performance of ML algorithms is measured using a set of evaluation metrics, […]

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