Lectures related to IoT Platforms: Advanced Cloud Computing

Linear Regression: Basics and Gradient Descent Log in to Mediaspace to watch this video

Covers the basics of linear regression, including feature engineering, supervised vs. unsupervised learning, and minimizing the cost function.

Generative Adversarial Networks: Data Synthesis Techniques Log in to Mediaspace to watch this video

Discusses Generative Adversarial Networks and their applications in synthesizing data and generating images.

General-Purpose Distributed Execution System Log in to Mediaspace to watch this video

Explores the design of a general-purpose distributed execution system, covering challenges, specialized frameworks, decentralized control logic, and high-performance shuffle.

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Polynomial Regression and Gradient Descent Log in to Mediaspace to watch this video

Covers polynomial regression, gradient descent, overfitting, underfitting, regularization, and feature scaling in optimization algorithms.