Why is everyone in Machine Learning obsessed with the number 42?
If you work in Machine Learning, Deep Learning, or general programming, you’ve likely encountered it random_state=42 everywhere. Some beginners bel…
Building a Deep Learning Model from Scratch in Python (Without any libraries)
Building a Deep Learning Model from Scratch in Python This blog post explains how to build…
Singular Value Decomposition (SVD): From Intuition to Definition
In the world of data science, machine learning, and linear algebra, Singular Value Decomposition (SVD) is one of the most powerful and versatile tool…
How Error is Calculated in Hidden Layers in Deep Learning
How Error is Calculated in Hidden Layers in Deep Learning: Mathematical Overview
Competitive Programming 3
Competitive Programming 3: The New Lower Bound of Programming Contests
Dive into the Building Block of Neural Networks
Understanding the Simple Neural Unit: Dive into the Building Block of Neural Networks In the exciting world of Artificial Intelligence (AI), neural…
AI vs ML vs Deep Learning: What's the Difference?
AI vs ML vs Deep Learning: What's the Difference? Introduction Have you ever talked to a virtual assistant like Siri, seen YouTube recommend a…
SVD and PCA Explained with a Real-Life Example
SVD and PCA Explained with a Real-Life Example Imagine you’re working with a dataset that has many features (columns), but some of those features …
Why Gradient Descent Works Differently in Linear vs Logistic Regression
Why Gradient Descent Works Differently in Linear vs Logistic Regression When you're learning machine learning, one of the first things you enco…
