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Kanu Chavda
Kanu Chavda @KanuChavda16_09 ·
Day 94 of my AI/ML journey Today’s focus: Impurity Metrics in Decision Trees Learned about Entropy – measures randomness/disorder in data Explored Gini Impurity – measures how often a randomly chosen element would be incorrectly classified #MachineLearning #AI #DataScience
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Charlie Media
Charlie Media @CharlieMediax ·
Replying to @CharlieMediax
2️⃣ Why “bits”? Using log base 2 means entropy counts the minimum number of yes/no questions needed to identify an outcome. High entropy = more surprise. Low entropy = more predictability. #InfoTheory #DataScience
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Suvasis Nayak
Suvasis Nayak @SuvasisNayak ·
🚀 Step into the future withB.ScF. Statistics & Data Analytics! at KIIT University. 📊 Hands-on tools (R, Python, MATLAB, SPSS & more) 🤖 AI & Machine Learning skills 💼 Industrial Internships 📑 Research-driven learning #DataScience #Statistics #KIITEEHAsyc
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Wisdom
Wisdom @WOkparaji74619 ·
Your Nigerian financial advisor just got an AI upgrade Naira Wise AI answers questions about NGX, T-Bills, Kuda, PiggyVest & Naira devaluation. Built with Gemini API + Python 📂 GitHub:github.com/Santandave961/…V #DataScience #Python #Fintech #Nigeria #AI #Streamlit #BuildInPublicW
Wisdom Wisdom @WOkparaji74619 ·
🚧 Building Naira Wise AI 🇳🇬💰 An AI Financial Advisor for Nigerians 💰 Investment advice 📈 Savings strategies 🧮 Financial calculators 🤖 Powered by Google Gemini Still cooking... 👀 #Nigeria #AI #Fintech #BuildingInPublic
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HYP777
HYP777 @lizeyu96152773 ·
Kinetic Gravity 3.0 | Senegal vs Peru. Market structure confirms definitive high-conviction home dominance. Structural liquidity flow aligns with significant variance. 🎯 Verdict: HOME WIN⚽ Score: 1-0 / 2-1🚫 Totals: Unsupported by model variance. TG: @FTData666 #DataSciencrb
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Demagaga
Demagaga @Demagaga1 ·
Base rates matter more than stories. But people trust stories more than data. That’s why bad decisions feel right. Until they aren’t. demagaga.com/2026/02/19/how… #Statistics #DataScience #Finance
16-bit pixel art of a math-driven workspace at night featuring How Not to Be Wrong on a desk, with dual monitors displaying regression to the mean, expected value, and base rate visuals, alongside dice, charts, a calculator, and notes, set against a neon city skyline.
How Not to Be Wrong Book Review: Why Mathematical Thinking Is a Decision-Making Superpower

A clear, engaging review of How Not to Be Wrong by Jordan Ellenberg, explaining how mathematical thinking improves decision-making. This article covers regression to the mean, expected value, base …

From demagaga.com
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Fatai Ahmed
Fatai Ahmed @FataiAhmed71754 ·
Just wrapped up a massive multivariate analysis on rural food security in Nigeria using the GHS-Panel dataset (4,700+ households). Moving beyond basic poverty metrics to model actual household resilience. #DataScience #RStats #Nigeria
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