Understand how AI assigns data to discrete categories, from identifying spam emails to diagnosing diseases from medical images.

To learn more, visit https://www.domainshift.ai/p/classification

Learn about the hybrid approach that combines labeled and unlabeled data, maximizing learning when labels are scarce or expensive.

To learn more, visit https://www.domainshift.ai/p/semi-supervised-learning

Discover how AI finds hidden patterns in data without labeled examples, uncovering structures that humans might never notice.

To learn more, visit https://www.domainshift.ai/p/unsupervised-learning

Explore how algorithms learn from labeled training data to make predictions on new examples, like teaching with answer keys.

To learn more, visit https://www.domainshift.ai/p/supervised-learning

Dive into the subset of machine learning that uses multi-layered neural networks to model complex patterns, mimicking how the human brain processes information.

To learn more, visit https://www.domainshift.ai/p/deep-learning

Understand how machines learn from data and improve at tasks without explicit programming, using patterns to make predictions about new information.

To learn more, visit https://www.domainshift.ai/p/machine-learning

Learn about the step-by-step instructions that form the building blocks of AI systems, enabling computers to process information and solve specific problems.

To learn more, visit https://www.domainshift.ai/p/ai-algorithm

Discover the theoretical holy grail of AI: systems with human-like adaptability that could excel across any domain without specific programming for each task.

To learn more, visit https://www.domainshift.ai/p/artificial-general-intelligence

We explore the broad field of computer science focused on creating machines and software systems that can perform tasks typically requiring human intelligence, from simple automation to complex creative problem-solving.

To learn more, visit https://www.domainshift.ai/p/artificial-intelligence

Building your AI literacy one concept at a time. In under two minutes, we break down complex AI concepts into clear, actionable knowledge.