Gradient Descent vs Newton's Method Explained | Logistic Regression

Опубликовано: 23 Август 2024
на канале: Academic Tube

In this video, we dive into the two popular optimization techniques used in Logistic Regression: Gradient Descent and Newton's Method. Learn the differences, advantages, and applications of each method in machine learning. Whether you're new to these concepts or looking to deepen your understanding, this tutorial will guide you through the math and intuition behind both approaches. Watch till the end to see a practical comparison and choose the best method for your machine learning models.

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