Building a Data Engineering Center of Excellence
As data continues to grow in importance and become more complex, the need for skilled data engineers has never been ...
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Should Data Scientists Care About Quantum Computing?
I am sure the quantum hype has reached every person in tech (and outside it, most probably). With some over-the-top ...
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Method of Moments Estimation with Python Code
Let’s say you are in a customer care center, and you would like to know the probability distribution of the ...
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Build a Decision Tree in Polars from Scratch
Decision Tree algorithms have always fascinated me. They are easy to implement and achieve good results on various classification and ...
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Data vs. Business Strategy | Towards Data Science
There seems to be a consensus that leveraging data, analytics, and AI to create a data-driven organization requires a clear ...
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Six Ways to Control Style and Content in Diffusion Models
Stable Diffusion 1.5/2.0/2.1/XL 1.0, DALL-E, Imagen… In the past years, Diffusion Models have showcased stunning quality in image generation. However, ...
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The Method of Moments Estimator for Gaussian Mixture Models
Audio Processing is one of the most important application domains of digital signal processing (DSP) and machine learning. Modeling acoustic ...
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Synthetic Data Generation with LLMs
Popularity of RAG Over the past two years while working with financial firms, I’ve observed firsthand how they identify and ...
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I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms
Recently, DeepSeek announced their latest model, R1, and article after article came out praising its performance relative to cost, and ...
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Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them)
Accurate impact estimations can make or break your business case. Yet, despite its importance, most teams use oversimplified calculations that ...
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