Gradient descent

When you train a model, you send data through the network multiple times. Think of it like wanting to become the best basketball player. You aim to improve your shooting, passing, and positioning to minimize errors. Similarly, machines use repeated exposure to data to recognize patterns. This article will focus on a fundamental concept called backward propagation. After reading, you'll understand: What backward propagation is and why it's important Gradient descent and its type Backward propagation in machine…

Cracking a machine learning interview at companies like Facebook, Google, Netflix, Snap, etc., really comes down to nailing a few patterns that these companies look for.  In this article, I plan to share my experience interviewing with these companies and also how I went about preparing. About Me I have six years of experience working as a Machine learning engineer at Meta. I have been part of two teams at Meta. I was an early ML engineer of a misinformation modeling team working on hoax classification models. After three…