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Mathematics for Machine Learning

Understanding Bayes’ Theorem and Naive Bayes in Python: A Practical Guide from Theory to Spam Classifier

If you’ve ever tried to explain Bayes’ theorem to someone at a party, you know the look you get. That glazed-over, polite nod that says “I’ll remember your name but…

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August 17, 2025
Understanding Bayes’ Theorem and Naive Bayes in Python: A Practical Guide from Theory to Spam Classifier
Machine Learning

Regularization in Machine Learning

In the realm of machine learning, we constantly strive to build models that accurately capture the underlying patterns and generalize well on unseen data. However, our ambitious models often fall…

1 Comment
May 3, 2023
Regularization in Machine Learning
Photo by Monstera on Pexels.com
Mathematics for Machine Learning

Understanding Gradient Descent with example

"Optimization is at the heart of machine learning. It is the process of searching through a space of possible models to find one that performs well on a task. It…

1 Comment
April 19, 2023
Understanding Gradient Descent with example
Photo by Codioful (formerly Gradienta) on Pexels.com
Mathematics for Machine Learning

Using Conditional Probability for my Instagram account

Many of us may find understanding statistics a challenging task. Moreover, when it comes to conditional probability, we may find ourselves scratching our heads. And yes, I am one of…

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April 13, 2023
Using Conditional Probability for my Instagram account
Photo by Lukas on Pexels.com
Mathematics for Machine Learning

Understanding matrix multiplication

In my last blog on orthogonal projection, I shared how visualizing mathematical concepts help us understand them better. So, I thought of doing the same with matrix multiplication. Matrix multiplication…

1 Comment
March 17, 2023
Understanding matrix multiplication
Photo by Tibe De Kort on Pexels.com

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