Machine learning

As explained in Generative AI in Action

A scientific discipline in which computers learn patterns from data to make predictions or decisions without being explicitly programmed for each task.

How Generative AI in Action covers it

How deep it goes

Defines learning, predictions, and decisions, but defers detailed machine-learning mechanisms and mathematics.

Examples

Uses spam filtering and e-commerce recommendation systems to illustrate data-driven prediction and decision-making.

What you can do after

Evaluate/understand how learned data patterns support predictions, decisions, and generative AI applications.

How it connects

Links machine learning to deep learning, artificial neural networks, data engineering, model training, inference, and generative AI.

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  Natural Language Processing in Action, Second EditionMachine learning is a computational approach in which algorithms derive patterns or behavior from data rather than relying solely on explicitly programmed rules.
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Compare how 42 books explain machine learning →

Related concepts

• artificial intelligencekind of · Artificial intelligence is the field concerned with creating computational systems that perform tasks associated with human intelligence, such as learning, reasoning, perception, or decision-making.
• language modelincludes · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
• supervised learningincludes · Supervised learning is a machine-learning approach that learns to map inputs to target outputs from examples paired with known labels or values.
• reinforcement learningincludes · Reinforcement learning is a machine-learning paradigm in which an agent learns actions or a policy through interaction with an environment and evaluative feedback, such as rewards.
• deep learningincludes · Deep learning is a machine-learning approach that uses neural networks with multiple computational layers to learn representations from data.
• datauses · Data is represented information, observations, measurements, or other values that can be stored, processed, transmitted, analyzed, or interpreted.

This explainer was generated by Manning's knowledge graph from the text of Generative AI in Action. The section links point to the parts of the book it draws on.