Data Science

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Synthetic Data Generation with LLMs

Synthetic Data Generation with LLMs

Popularity of RAG Over the past two years while working with financial firms, I’...

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I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms

I Tried Making my Own (Bad) LLM Benchmark to Cheat in E...

Recently, DeepSeek announced their latest model, R1, and article after article c...

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Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them)

Triangle Forecasting: Why Traditional Impact Estimates ...

Accurate impact estimations can make or break your business case. Yet, despite i...

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The Gamma Hurdle Distribution

The Gamma Hurdle Distribution

Which Outcome Matters? Here is a common scenario : An A/B test was conducted, wh...

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Awesome Plotly with code series (Part 9): To dot, to slope or to stack?

Awesome Plotly with code series (Part 9): To dot, to sl...

Simple methods to replace cluttered bar charts with crisp, reader-friendly visua...

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Deep Dive into WebSockets and Their Role in Client-Server Communication

Deep Dive into WebSockets and Their Role in Client-Serv...

How WebSockets work, its tradeoffs, and how to design a real time messaging app ...

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???? Quantifying Uncertainty – A Data Scientist’s Intro To Information Theory – Part 2/4: Entropy

???? Quantifying Uncertainty – A Data Scientist’s Intro...

Gain intuition into Entropy and master its applications in Machine Learning and ...

Quantifying Surprise – A Data Scientist’s Intro To Info...

Gain intuition into Information Theory and master its applications in Machine Le...

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Neural Networks – Intuitively and Exhaustively Explained

Neural Networks – Intuitively and Exhaustively Explained

An in-depth exploration of the most fundamental architecture in modern AI. The p...

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Towards Data Science is Launching as an Independent Publication

Towards Data Science is Launching as an Independent Pub...

Since founding Towards Data Science in 2016, we’ve built the largest publication...

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Quantifying Surprise — A Data Scientist’s Intro To Information Theory — Part 1/4: Foundations

Quantifying Surprise — A Data Scientist’s Intro To Info...

Gain intuition into Information Theory and master its applications in Machine Le...

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Quantifying Uncertainty — A Data Scientist’s Intro To Information Theory — Part 2/4: Entropy

Quantifying Uncertainty — A Data Scientist’s Intro To I...

Gain intuition into Entropy and master its applications in Machine Learning and ...

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Neural Networks — Intuitively and Exhaustively Explained

Neural Networks — Intuitively and Exhaustively Explained

An in-depth exploration of the most fundamental architecture in modern AI.Contin...

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How to Get Promoted as a Data Scientist

How to Get Promoted as a Data Scientist

Advice from a Lead Data Scientist with 2 promotions in under 2 yearsContinue rea...

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How to Find Seasonality Patterns in Time Series

How to Find Seasonality Patterns in Time Series

Using Fourier Transform to detect seasonal componentsContinue reading on Towards...

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DIY AI: How to Build a Linear Regression Model from Scratch

DIY AI: How to Build a Linear Regression Model from Scr...

How to implement a linear regression model in Python without using machine learn...

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