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Data Science Collective
Advice, insights, and ideas from the Medium data science community
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I’m the Founding Editor of Data Science Collective — Here’s What’s Coming
I’m the Founding Editor of Data Science Collective — Here’s What’s Coming
Big News: I’m the Founding Editor of Data Science Collective — the New Data Science Publication on Medium.
Paolo Perrone
Feb 11
Data Science Collective: Submission Guidelines
Data Science Collective: Submission Guidelines
Welcome to Data Science Collective, a community-driven publication dedicated to exploring data science through writing. We’re to highlight…
Data Science Collective Editors
Feb 9
LOESS
LOESS
Smoothing data using local regression
João Paulo Figueira
May 24, 2019
A new community home for data science writing on Medium
A new community home for data science writing on Medium
Join Data Science Collective
Data Science Collective Editors
Feb 10
Latest
The Moore’s Law for Agent Autonomy: AI’s Exponential Revolution
The Moore’s Law for Agent Autonomy: AI’s Exponential Revolution
AI Is Learning to Work Like You And It’s Happening Faster Than You Think
MKWriteshere
Mar 21
AI Engineering (2/3): Prompt Engineering, RAG, Agents, and Fine-Tuning
AI Engineering (2/3): Prompt Engineering, RAG, Agents, and Fine-Tuning
Summary of Chip Huyen’s awesome new book.
Marina Wyss - Gratitude Driven
Mar 21
Step-by-Step Guide to Building a RAG System with NotebookLM
Step-by-Step Guide to Building a RAG System with NotebookLM
Step-by-Step Guide to Building a RAG System with NotebookLM for More Accurate and Reliable AI Responses
Amanda Iglesias Moreno
Mar 21
Deep Learning Models for Price Forecasting— Project Pt. II
Deep Learning Models for Price Forecasting— Project Pt. II
Comparing MLP, LSTM, GRU, and CNN for Price Forecasting
🐼 panData
Mar 21
Evolution of Large Language Models (LLMs): From Trasnformers to Agentic AI — Part 2
Evolution of Large Language Models (LLMs): From Trasnformers to Agentic AI — Part 2
“We are moving from AI that generates text to AI that thinks, retrieves, and acts.”
Samvardhan Singh
Mar 20
Using AI to Develop a User Interface for the Co-STORM AI Research Algorithm
Using AI to Develop a User Interface for the Co-STORM AI Research Algorithm
Conversational computer programing
Matthew Harris
Mar 20
AI Engineering (1/3): Foundation Models, Evaluation, and Model Selection
AI Engineering (1/3): Foundation Models, Evaluation, and Model Selection
Summary of Chip Huyen’s awesome new book.
Marina Wyss - Gratitude Driven
Mar 20
Using a Custom GPT to Create & Compare Algo Trading Strategies
Using a Custom GPT to Create & Compare Algo Trading Strategies
An in-depth guide to fast-forward the process of building algo trading strategies
Nikhil Adithyan
Mar 20
NN#16 — Neural Networks Decoded: Concepts Over Code
NN#16 — Neural Networks Decoded: Concepts Over Code
Object Detection to Instance Segmentation and Pose Estimation
RSD Studio.ai
Mar 20
Bad, Good, and Great Practices in Machine Learning: Theory and Practice
Bad, Good, and Great Practices in Machine Learning: Theory and Practice
Mastering Machine Learning: Avoiding Pitfalls, Implementing Best Practices, and Achieving Real-World Impact
Buse Köseoğlu
Mar 20
Advanced SQL Query Optimization: Minimizing Latency for Maximizing Impact
Proven techniques to fine-tune your SQL queries for speed, scalability, and efficiency in large-scale data environments.
Abhishek Gorla
Mar 20
How to Build a Machine Learning/Data Science Portfolio That Gets You Hired!
How to Build a Machine Learning/Data Science Portfolio That Gets You Hired!
No more boring projects.
Marina Wyss - Gratitude Driven
Mar 20
The Reality of Deploying LLMs in Enterprise: 3 Lessons from the Field
Introduction
Siddarth Ramesh
Mar 19
Evolution of Large Language Models (LLMs): From Trasnformers to Agentic AI — Part 1
Evolution of Large Language Models (LLMs): From Trasnformers to Agentic AI — Part 1
How did we get from simple text generators to AI that retrieves data, reasons step-by-step, and even improves itself?
Samvardhan Singh
Mar 19
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