Gradient Descent

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Articles: 4
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Contributors: 4

Everything about Gradient Descent

Article · Machine Learning
📘 Gradient Descent in Machine Learning: A Beginner’s Guide
Learn how this optimization algorithm helps models learn by minimizing cost functions. Explore key components like learning rate, cost functions, and different types (Batch, SGD, Mini-Batch) with a Python example. Build a strong AI/ML foundation!
Avnii ThakurSep 23, 20253,3391,000

Article · Machine Learning

The Stochastic Gradient Descent

This article delves into Stochastic Gradient Descent (SGD), a cornerstone algorithm in machine learning and optimization. It explains how SGD optimizes model training by iteratively updating parameters using random data subsets.

Kautilya UtkarshJun 16, 20241,8571,000

Article · Machine Learning

Understanding Gradient Descent: The Backbone of Machine Learning

Gradient descent is a versatile and powerful optimization technique that is central to many machine learning algorithms. Its iterative approach to minimizing cost functions makes it an essential tool for training models, from simple linear regressions to complex deep learning architectures.

Kautilya UtkarshJun 7, 20242,0501,000