Jaiden Austin

Explore the origins of AI from early concepts to modern advancements. Understand key milestones that shaped the industry.

Dive into linear regression, a fundamental statistical technique used for predictive modeling. Learn how it works and practical applications.

Understand the architecture of artificial neural networks and their role in deep learning. Discover how they mimic human brain functions.

Explore deep learning techniques and their applications in various fields like image recognition, natural language processing, and more.

Introduce the type of machine learning algorithms that do not need labels.

Build and train a sequential model of a convolutional neural network using practical examples and step-by-step guidance.