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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Watch video Gradient Descent vs Newton's Method Explained | Logistic Regression online without registration, duration hours minute second in high quality. This video was added by user Academic Tube 23 August 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 32 once and liked it 1 people.