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The Unstructured Data Funnel. Why a funnel is the centre of the war… | by Hugo Lu | Dec, 2023

[ad_1] Why a funnel is the centre of the war between data’s heaviest hitters Unstructured data takes varying forms. It’s typically text-heavy, but may contain data such as dates, numbers, and dictionaries as well. Data Engineers commonly encounter unstructured data in the form of deeply-nested jsons. However the term “unstructured” data really refers to anything…

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How to Improve Your ChatGPT Outputs Using Configuration Parameters | by Angelica Lo Duca | Dec, 2023

[ad_1] ChatGPT, Generative AI A focus on configuring the temperature, the Top P, the frequency penalty, and the presence penalty directly in your ChatGPT prompts Photo by Growtika on UnsplashI’ve recently been reading a very interesting book by David Clinton, entitled The Complete Obsolete Guide to Generative AI, published by Manning Publications. In the second…

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Solving Autocorrelation Problems in General Linear Model on a Real-World Application | by Rodrigo da Motta | Dec, 2023

[ad_1] Delving into one of the most common nightmares for data scientists Introduction One of the biggest problems in linear regression is autocorrelated residuals. In this context, this article revisits linear regression, delves into the Cochrane–Orcutt procedure as a way to solve this problem, and explores a real-world application in fMRI brain activation analysis. Photo…

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Evaluating RAG Applications with RAGAs | by Leonie Monigatti | Dec, 2023

[ad_1] RAGAs (Retrieval-Augmented Generation Assessment) is a framework (GitHub, Docs) that provides you with the necessary ingredients to help you evaluate your RAG pipeline on a component level. Evaluation Data What’s interesting about RAGAs is that it started out as a framework for “reference-free” evaluation [1]. That means, instead of having to rely on human-annotated…

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Geometrical Interpretation of Linear Regression in Machine Learning versus Classical Statistics | by Rishabh Raman | Dec, 2023

[ad_1] Demystifying the confusion about Linear Regression Visually and Analytically Image: Linear regression illustration, by Stpasha, via Wikimedia Commons (Public Domain). Original Image Link: https://upload.wikimedia.org/wikipedia/commons/8/87/OLS_geometric_interpretation.svgThe above image represents a geometric interpretation of Ordinary Least Squares (OLS) or Linear Regression (words used interchangeably in classical statistics). Let’s break down what we’re seeing in an intuitive way:…

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Teaching AI to Play Board Games. Using reinforcement learning from… | by Heiko Hotz | Dec, 2023

[ad_1] Using reinforcement learning from scratch to teach a computer to play Tic-Tac-Toe Image by author (created with ChatGPT)It appears that everyone in the AI sector is currently honing their Reinforcement Learning (RL) skills, especially in Q-learning, following the recent rumours about OpenAI’s new AI model, Q* and I’m joining in too. However, rather than…

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How to design an MLOps architecture in AWS? | by Harminder Singh

[ad_1] A guide for developers and architects especially those who are not specialized in machine learning to design an MLOps architecture for their organization Introduction According to Gartner’s findings, only 53% of machine learning (ML) projects progress from proof of concept (POC) to production. Often there is a misalignment between the strategic objectives of the…

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