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Pumpkin Spice Time Series Analysis

Throw on your comfiest lo-fi, grab an oversized sweater, your favorite hot beverage, and let’s python. Photo by Nathan Dumlao on Unsplash It’s that time again in the northern hemisphere — a time for apples, pumpkins, and various configurations of cinnamon, nutmeg, ginger, allspice,

ICA and the Real-Life Cocktail Party Problem

Why Independent Component Analysis fails its canonical thought experiment and what we can learn from this failure. A Cocktail Party Metaphor (Image by author) Independent Component Analysis (ICA) has — since significant development in the 1990’s¹ — become a commonly used data decomposition and preprocessing technique.

Jane the Discoverer: Enhancing Causal Discovery with Large Language Models (Causal Python)

A practical guideline to LLM-enhanced causal discovery that minimizes the risks of hallucinations (with Python code) Continue reading on Towards Data Science »

How to Measure the Success of Your RAG-based LLM System

Use the machines to grade the machines Including a new novel method for judging answers with a qualitative score and detailed explanation. Image generated by Stable Diffusion XL Research Augmented Generation, or RAG, is easily the most common use case for

TimeGPT: The First Foundation Model for Time Series Forecasting

Explore the first generative pre-trained forecasting model and apply it in a project with Python Continue reading on Towards Data Science »

Roman Numeral Analysis with Graph Neural Networks

An Introductory Guide In this article, I would like to explain my journey in developing a model for automatic harmonic analysis. Personally, I am interested in understanding music deeply. Questions like: “Why are things structured the way they are?” and

Probability Interview Questions In Real Life of Data Analysts

Probability Interview Questions In Data Analysts’ Real Life Connecting probability interview questions to data analysts’ everyday tasks Photo of Thomas on Unsplash If you apply for the role of data analyst and data scientist, in your interviews you’ll often come across probability questions.

Falcon: The Pinnacle of Open-Source LLMs

The gap between open-source and proprietary LLMs continues to shrink… Continue reading on Towards Data Science »

Crafting Effective Prompts for Summarization Using Large Language Models

Distilling key points after >2 years of experience and from AI developers’ own tutorials, hands-on and with examples. Continue reading on Towards Data Science »

Your Data Science Visualizations Will Never Be The Same — Plotly & Dash

Using Plotly and Dash to create interactive dashboards Continue reading on Towards Data Science »