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Towards Data Science
Your home for data science. A Medium publication sharing concepts, ideas and codes.
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How Do We Know if AI Is Smoke and Mirrors?
How Do We Know if AI Is Smoke and Mirrors?
Musings on whether the “AI Revolution” is more like the printing press or crypto. (Spoiler: it’s neither.)
Stephanie Kirmer
Apr 17
How to Grow Your Career Without Feeling Stuck
How to Grow Your Career Without Feeling Stuck
Whether you are just starting up or aspiring to make another leap ensure that you are ready and your boss knows that
Aliaksei Mikhailiuk
Apr 17
Latest
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
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
Callbacks and Pipeline structures in LangChain
Callbacks and Pipeline structures in LangChain
Learn about the structure of LangChain pipelines, callbacks, how to create custom callbacks and integrate them into your pipelines for…
Roshan Santhosh
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
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