· ai
Mish: A Self Regularized Non-Monotonic Activation Function
Overview Mish is a simple activation function that can noticeably improve the performance of image‑based AI models. By replacing the standard activation with M...
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Logistic Regression, But Make It Tea: ML Basics Served Hot
What Is Logistic Regression? Logistic Regression is a simple machine learning algorithm used to predict yes/no outcomes. Imagine running a small tea stall and...
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Predicting Tea Sales With ML: Linear Regression, Gradient Descent & Regularization (Beginner Friendly + Code)
🍵 Linear Regression for Absolute Beginners With Code Examples & Real Tea‑Stall Scenarios Machine‑learning terms like cost function, gradient descent, regulari...
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🍵 Linear Regression for Absolute Beginners With Tea — A Zero‑Knowledge Analogy
Explained With Real Tea‑Stall Scenarios You’ll Never Forget Machine Learning can feel intimidating — gradients, cost functions, regularization, over‑fitting… i...
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The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel
Ridge and Lasso regression are often perceived as more complex versions of linear regression. In reality, the prediction model remains exactly the same. What ch...
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Understanding Overfitting in Neural Networks (TensorFlow- CNN)
Understanding Overfitting in Neural Networks and Techniques to Prevent It Using Fashion‑MNIST Experiments Overfitting is a fundamental challenge when developin...
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Bias–Variance Tradeoff — Visually and Practically Explained (Part 6)
What Bias Really Means Practical Definition Bias is how wrong your model is on average because it failed to learn the true pattern. High bias occurs when: - Th...