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frenchintelligence.org
datascience
Decoding the LLM Cipher: Unlocking AI Behavior Through Geometric Insights
October 15, 2025
Decoding the LLM Cipher: Unlocking AI Behavior Through Geometric Insights
October 15, 2025
Day 5 of documentating my learning journey
October 14, 2025
Day 5 of documentating my learning journey
October 14, 2025
Car Price Prediction: A Complete ML Project
October 12, 2025
ML Learning #1 : Linear Regression
October 11, 2025
Data Analysis Pandas/Numpy Notes
October 11, 2025
Data Analysis Pandas/Numpy Notes
October 11, 2025
Understanding DAX Functions in Power BI
October 10, 2025
What is a VPN and How to Use It to Protect Privacy
October 10, 2025
Data Preprocessing in Machine Learning: The First Step Toward Better Models
October 10, 2025
Why Do Data Pipelines Need Streaming — Isn’t Batch Processing Enough?
October 10, 2025
My Journey As A Data Analyst
October 9, 2025
My Journey As A Data Analyst
October 9, 2025
PARAMETRIC AND NON-PARAMETRIC TESTS
October 9, 2025
Power BI and DAX: Making Data Easy to Understand
October 8, 2025
Plotly – Interactive Graphing and Data Visualization
October 8, 2025
Understanding Data Formats for Analytics: A Practical Guide
October 8, 2025
MLZC25-14. Regularización y Tuning del Modelo: La Batalla contra el Sobreajuste
October 7, 2025
MLZC25-10. Análisis Exploratorio de Datos y Marco de Validación: El Detective de Datos
October 7, 2025
Predicting Survival on the Titanic: A Machine Learning Approach
October 5, 2025
Predicting Survival on the Titanic: A Machine Learning Approach
October 5, 2025
Storytelling with Data: Why It Matters and What Data Analysts Really Do
October 2, 2025
3 Weeks Left: PlotSenseAI Hackathon 2025 🚀
October 1, 2025
Data & Art : How do they mix?
October 1, 2025
Data & Art : How do they mix?
October 1, 2025
Data & Art : How do they mix?
October 1, 2025
Tableau vs. Power BI: A Professional Comparison for Data Professionals
October 1, 2025
Beyond Circles: Smart Geofencing with Data-Driven Shapes by Arvind Sundararajan
October 1, 2025
Stop Your UMAP From Moving: The Pipeline Randomness You’re Missing
September 30, 2025
Statistical Analysis Using NumPy and SciPy: A Complete Guide with Case Studies
September 28, 2025
Cloak and Swagger: Hiding in Plain Sight on Social Networks
September 28, 2025
Unsupervised Learning: A Focus on Clustering
September 27, 2025
The Hidden Cost of Bad Data: Why Clean Data is Worth More Than Gold
September 26, 2025
# Build an Interactive Sales Chart with Plotly
September 25, 2025
The Ultimate Guide to Open Table Formats: Iceberg, Delta Lake, Hudi, Paimon, and DuckLake
September 25, 2025
Building a Self-Learning Recommender System (Without Needing Netflix Data!)
September 24, 2025
Integrating AI in Data Analytics: Transforming Insights into Action
September 23, 2025
Geometric Methods in Data Preprocessing: Enhancing Your Data Through Spatial Thinking
September 22, 2025
RAGs for Dummies: The Game-Changing Power of RAG
September 21, 2025
If We Break an Image Into Waves, Can We Truly Put It Back Together?
September 21, 2025
Top 5 GitHub Repositories for Data Science in 2026
September 20, 2025
Noise to Nice: How Stable Diffusion Turns Chaos into Art
September 20, 2025
Audit Trigger for Tracking User Updates and Deletions in table
September 18, 2025
How AI Can Predict the Success of Your Business Using Data from Google Maps
September 17, 2025
CLEANING MESSY DATA: Why is it 80% of the job
September 17, 2025
🚢 Titanic App Streamlit “Machine Learning Scikit Learn-Random Forest”
September 16, 2025
🚢 Titanic App Streamlit “Machine Learning Scikit Learn-Random Forest”
September 16, 2025
Check out this article on Markov Chains
September 16, 2025
A Beginner’s Guide to Channel Attribution Modeling in Marketing (with Markov Chains and an R Case Study)
September 16, 2025
Interactive Data Visualization: Streamlit, Dash, and Bokeh
September 15, 2025
LangChain, LangGraph, and LangSmith: Untangling the Confusion
September 15, 2025
The Silent Symphony of Success: Decoding Spatial Intelligence in Teams
September 14, 2025
📊Beyond the Standard: Exploring Modern Python Visualization Tools
September 14, 2025
AI’s Symphony of Sight and Sound: Teaching Machines to ‘See’ Music
September 14, 2025
Spatial Harmony: Visualizing Team Dynamics for Maximum Impact by Arvind Sundararajan
September 13, 2025
Fórmulas de Excel/Sheets que ni la IA puede resolver (aún)
September 13, 2025
From Weeks to Days: Atome’s Real-Time Feature Engineering with RisingWave
September 13, 2025
Unlocking Team Synergy: Decoding the Silent Language of Movement
September 13, 2025
Democratizing AI: Hyperparameter Harmony Through LLM Whispering
September 12, 2025
Quantum Cardinality: Taming Big Data’s Wild Estimates
September 12, 2025
Building Interactive Dashboards with Streamlit, Dash, and Bokeh: From Code to Cloud
September 11, 2025
The Looming Quantum Computing Threat: Why Everyone Should Be Paying Attention to Post-Quantum Security
September 8, 2025
Complete Seaborn Tutorial (Day 01 & Day 02) — Master Data Visualization with Python, Data Analytics, AI & Machine Learning
September 6, 2025
Dashboards are the control centre of any business. They tell you what’s working, what’s broken, and where to focus. The problem? Building them in Excel can be time-consuming — formulas, pivot tables, formatting… it adds up. That’s where AI steps in.
September 6, 2025
How to Create AI-Powered Dashboards with ChatGPT + Excel
September 6, 2025
The Fake That Makes Us Real: How GANs Are Rewiring Imagination
September 6, 2025
7 Reasons Flutter Devs Should Use Cristalyse for Charts
September 5, 2025
Prompt Engineer shouldn’t be a job title.
September 4, 2025
Apache Arrow dev list digest (Aug 25–29 2025)
September 4, 2025
Apache Arrow dev list digest (Aug 25–29 2025)
September 4, 2025
Why Writing Efficient Code Still Matters (Even in the Age of AI) ?
September 3, 2025
Boosting Vision AI: Synthetic CAD Data Takes Center Stage by Arvind Sundararajan
September 2, 2025
Neural Dust and Bio Sensors: Mapping the Inner Sky
September 1, 2025
Multidimensional Embedding Comparison with “diemsim”
September 1, 2025
Supervised Learning, Explained Through Classification
September 1, 2025
The Prompt Architect’s Playbook: 12 Patterns Defining 2025
August 31, 2025
The Rise of Hugging Face: How One Company Democratized AI and Transformed Machine Learning
August 31, 2025
Project: Building an AI Astronomy Cluster
August 30, 2025
Project: Building an AI Astronomy Cluster
August 30, 2025
What is Computer Vision?
August 30, 2025
Data Speaks
August 29, 2025
Core Concepts: Decoding Human Language
August 29, 2025
Good work George
August 28, 2025
Good work George
August 28, 2025
AI Models Demystified: What Really Happens Inside an AI Model?
August 28, 2025
Mining Data Out of Minecraft
August 27, 2025
The Vanishing Gradient Problem: A Memory Lapse in RNNs
August 27, 2025
ASH | AWR | ADDM in Oracle Database
August 26, 2025
PRAGMA SERIALLY_REUSABLE in PL/SQL
August 26, 2025
k-NN Classification and Model Evaluation
August 26, 2025
Types of Dimensions in a Data Warehouse (Beginner’s Guide)
August 26, 2025
Understanding the Sequential Nature of Data
August 26, 2025
A series that is hype free, optimistic and cautious, but most of all written accessibly no matter your current level. All things dev’s should understand about #ai fast. Thanks Dev. This should be a book & course next. @dev_patel_35864ca1db6093c
August 20, 2025
What is the Bias-Variance Trade-off?
August 20, 2025
Building a Mental Health Predictor with Machine Learning and FastAPI
August 19, 2025
Tableau Sales Dashboard Performance (Updated for 2025)
August 19, 2025
Diving Deep: K-Fold Cross-Validation
August 19, 2025
Getting Started with Data Analytics Tools: A Practical Guide
August 18, 2025
Is Business Intelligence not enough anymore?
August 17, 2025
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