Machine learning

As explained in WordPress Power Toolkit: Harness AI to build next-level websites

Machine learning is a branch of artificial intelligence in which computational systems learn patterns or behaviors from data rather than being explicitly programmed for every outcome.

How WordPress Power Toolkit: Harness AI to build next-level websites covers it

How deep it goes

Defines self-teaching and illustrates it through Go, but stops short of explaining training procedures or algorithm internals.

Examples

Uses AlphaGo Zero’s rule-only training and championship Go matches to demonstrate original, effective machine strategies.

What you can do after

Supports understanding how systems can discover effective strategies that humans did not explicitly provide.

How it connects

Links machine learning with artificial intelligence, deep learning, robotics, and natural language processing.

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  Optimization Algorithms: AI techniques for design, planning, and control problemsMachine learning is the computational study of methods that improve predictions or decisions by learning patterns from data or experience.
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  Inside AIMachine learning is a computational approach in which models learn patterns from data to perform tasks without being explicitly programmed for every case.
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  Grokking Machine LearningMachine learning is a field of artificial intelligence in which computers make decisions based on data rather than solely on explicitly specified rules.
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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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  Deep Learning with R, Third EditionMachine learning is an approach in which computer systems improve their performance on tasks by learning from data or experience rather than relying solely on explicitly programmed rules.
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  Demand Forecasting Best PracticesMachine learning is a computational approach in which models learn patterns from data to make predictions or decisions.
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  The Art of AI Product DevelopmentMachine learning is a field of artificial intelligence in which systems learn patterns from data to make predictions or decisions.
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  Advanced Algorithms and Data StructuresMachine learning is a computational technique in which mathematical models infer characteristics or patterns of a system from data.
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  Delivering Machine Learning Projects: From design to deploymentMachine learning is the computational approach of learning models from data through algorithms rather than specifying all model rules manually.
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  Data-Driven CybersecurityA machine learning algorithm enables a system to learn patterns from data and make predictions or decisions without explicitly programmed rules.
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  Investing for ProgrammersMachine learning is a field of computing in which algorithms learn patterns from data to make predictions or decisions.
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  First-Party Data ActivationMachine learning is a computational approach in which models learn patterns from data to make predictions or decisions.
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  Acing the CCNA Exam: Volume 2 Advanced Networking and SecurityMachine learning is a computational technique in which systems learn patterns from data to make predictions or decisions without being explicitly programmed for each case.
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  Math and Architectures of Deep LearningA paradigm for learning a parameterized mapping from inputs to outputs by training on data rather than by writing explicit step-by-step rules.
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  Machine Learning for Tabular Data: XGBoost, Deep Learning, and AIA field of computing in which algorithms learn patterns from data to make predictions or decisions.
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  Data Without LabelsAn algorithm that enables a computer system to learn patterns or behavior from data or interaction rather than being explicitly programmed for every outcome.
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  Deep Learning with Python, Third EditionA class of methods that learn to map inputs to outputs by searching for useful representations and rules from example data and feedback.
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  AI-Powered SearchMachine learning is a subset of artificial intelligence that trains models on data to perform tasks based on patterns learned from that data.
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  Outlier Detection in PythonMachine learning is the computational approach of learning patterns or predictive relationships from data rather than specifying all rules explicitly.
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  The AI Pocket BookA field that builds systems that learn patterns from data to perform tasks.
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  How Large Language Models WorkMachine learning is the field of building computational systems that improve their performance on tasks by deriving patterns or rules from data rather than receiving all rules explicitly.
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  Grokking AI Algorithms, Second EditionMachine learning is the field of building systems that learn patterns or behavior from data rather than relying solely on explicitly programmed rules.
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  Starting Data Analytics with Generative AI and PythonMachine learning is the computational use of algorithms that learn patterns from data to make predictions, classifications, or decisions.
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  Machine Learning Algorithms in DepthAn algorithm that learns rules or predictive relationships from data rather than receiving all task instructions explicitly.
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  Grokking AI ApplicationsAn area of artificial intelligence in which machines learn patterns or behavior autonomously from data rather than following only fixed rules.
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  Machine Learning Platform EngineeringMachine learning is the computational discipline of learning patterns from data to make predictions or decisions.
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  Designing Deep Learning Systems: A guide for software engineersMachine learning is the field of methods that learn patterns or decision functions from data rather than relying solely on explicitly programmed rules.
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  Deep Learning with PyTorch, Second EditionA class of methods in which systems learn patterns from data to perform tasks without being explicitly programmed with task rules.
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  Data Storytelling with Altair and AIMachine learning is a subfield of artificial intelligence in which computers learn patterns from examples or data to improve performance and make predictions or decisions.
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  Learn AI-Assisted Python Programming, Second EditionMachine learning is a field of artificial intelligence in which systems infer patterns from data to make predictions or decisions.
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  Introduction to Generative AI, Second EditionMachine learning is the computational use of algorithms that learn patterns from data to improve performance on tasks.
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  Web Components in ActionMachine learning is a field in which computational models learn patterns from data to perform tasks such as classification or prediction.
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  Cyber Threat HuntingA machine learning algorithm is a computational procedure that learns from input data to generate a model or produce data-driven outputs.
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  Causal Inference for Data ScienceMachine learning is a field of methods that enables computers to learn patterns or predictive relationships from data.
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  Knowledge Graphs and LLMs in ActionMachine learning is a field of computing in which models learn patterns from data to make predictions or decisions.
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  Graph Algorithms for Data ScienceMachine learning is a computational approach in which models learn patterns from data to perform predictions or other tasks.
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  Generative AI in ActionA scientific discipline in which computers learn patterns from data to make predictions or decisions without being explicitly programmed for each task.
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  Build Your Own Robot: Using Python, CRICKIT, and Raspberry PiMachine learning is the computational practice of fitting models to data so they can make predictions or decisions without being explicitly programmed for every case.
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  Statistics Every Programmer NeedsMachine learning is the development of computational models that learn patterns or decisions from data rather than relying only on explicitly programmed rules.
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  Grokking StatisticsThe field and set of methods for learning predictive or descriptive patterns from data.
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  Financial AI in PracticeA computational approach in which systems learn patterns from data to make predictions or decisions.

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 WordPress Power Toolkit: Harness AI to build next-level websites. The section links point to the parts of the book it draws on.