MODEL FORGE EP 3 : Information Theory

🔍 MODEL FORGE EP 3: Information Theory

Entropy, Surprise, and Learning — The Invisible Mathematics Behind Machine Learning

Dive into the core mechanics of how machines learn from data and make predictions — all through the lens of Information Theory. Episode 3 of the Model Forge series focuses on unraveling entropy, surprise, and how these concepts empower learning algorithms in AI.

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📅 Event Details

🗓️ Date: Sunday, 13 July 2025
🕢 Time: 7:00 PM onwards
📍 Mode: Online (Google Meet)
🎙️ Instructor: Ishwor Pokharel
Google Meet link will be sent to your registered email.

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🎯 What to Expect ?

🔹 Understanding Entropy & Information Gain
🔹 Why “Surprise” is Useful in AI Models
🔹 Mathematical Foundations of Learning & Prediction
🔹 Q&A with the Instructor

This session is perfect for students, AI enthusiasts, and the curious minds who want to go beyond the surface of machine learning.

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🎥 Missed Previous Episodes? Watch Now

📌 Episode 1: Watch Here
📌 Episode 2: Watch Here
Alternate Link for Ep 1: Click Here

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📬 Contacts

📧 Email: tensor@tcioe.edu.np
📘 Facebook: Tensor IOE
📸 Instagram: @tensorioe
💼 LinkedIn: Tensor IOE

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Discover how to train, evaluate, and improve your AI models — layer by layer! 🎯