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Your home for data science. A Medium publication sharing concepts, ideas and codes.
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Pushing RL Boundaries: Integrating Foundational Models, e.g.
Pushing RL Boundaries: Integrating Foundational Models, e.g.
In-Depth Exploration of Integrating Foundational Models such as LLMs and VLMs into RL Training Loop
Elahe Aghapour & Salar Rahili
Apr 17
The 4 Hats of a Full-Stack Data Scientist
The 4 Hats of a Full-Stack Data Scientist
How to become a data science “unicorn”
Shaw Talebi
Apr 17
Latest
Advanced Retriever Techniques to Improve Your RAGs
Advanced Retriever Techniques to Improve Your RAGs
Master Advanced Information Retrieval: Cutting-edge Techniques to Optimize the Selection of Relevant Documents with Langchain to Create…
Damian Gil
Apr 17
Simulated Data, Real Learnings : Simulating Systems
Simulated Data, Real Learnings : Simulating Systems
Part 4 — Simulating to Understand Systems
Jarom Hulet
Apr 16
Meet the NiceGUI: Your Soon-to-be Favorite Python UI Library
Meet the NiceGUI: Your Soon-to-be Favorite Python UI Library
Build custom web apps easily and quickly
Youness Mansar
Apr 16
The Math Behind Deep CNN — AlexNet
The Math Behind Deep CNN — AlexNet
Dive into AlexNet, the first modern CNN, understand its mathematics, implement it from scratch, and explore its applications.
Cristian Leo
Apr 16
A New Manager’s Guide to High Performing Data Science Teams
A New Manager’s Guide to High Performing Data Science Teams
Lessons from someone who manages a team of 8
Zachary Raicik
Apr 16
Coverage vs. Accuracy: Striking a Balance in Data Science
Coverage vs. Accuracy: Striking a Balance in Data Science
The art of getting quick gains with agile model production
Nadav Har-Tuv
Apr 16
The Definitive Guide to Structured Data Parsing with OpenAI GPT3.5
The Definitive Guide to Structured Data Parsing with OpenAI GPT3.5
Systematically comparing Instructor, Fructose, and Langchain for three complex real-world structured data parsing tasks.
Marie Stephen Leo
Apr 16
AI Mapping: Using Neural Networks to Identify House Numbers
AI Mapping: Using Neural Networks to Identify House Numbers
Comparing artificial and convolutional neural networks in classifying Google Street View house numbers
John Lenehan
Apr 16
8 Plots for Explaining Linear Regression to a Layman
8 Plots for Explaining Linear Regression to a Layman
Explain regression to a non-technical audience with residual, weight, effect and SHAP plots
Conor O'Sullivan
Apr 16
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