ML on English AI Terms Dictionary

Rule induction

Sat, 18 Jul 2026 10:14:22 +0000

Definition

Rule induction is a symbolic machine learning method that derives if-then rules directly from data. Unlike neural networks, which produce opaque weights, rule induction yields interpretable models consisting of explicit conditions and conclusions. Algorithms search for patterns that best separate classes, creating a decision list or set of rules. This approach is valued for its transparency and ease of understanding, making it suitable for domains requiring clear justification for decisions.

H2O

Sat, 18 Jul 2026 10:00:43 +0000

Definition

H2O is a widely used open-source in-memory platform for distributed, scalable machine learning and predictive analytics. Originally developed by two Harvard PhD students, it provides a unified framework for building models ranging from traditional statistical methods to deep neural networks. Key features include H2O-3 for general ML, H2O Deep Water for deep learning, and H2O Driverless AI for automated machine learning (AutoML). It supports integration with big data tools like Spark and Hadoop, making it suitable for enterprise-scale data science workflows requiring high performance and ease of deployment.

Supervised

Sat, 18 Jul 2026 09:36:52 +0000

Definition

Supervised learning involves feeding an algorithm with data that includes both inputs and correct answers (labels). The model learns to map inputs to outputs by minimizing prediction errors. This technique is foundational for classification and regression tasks, requiring high-quality labeled datasets for effective training.

Summary

A machine learning paradigm where models are trained on labeled input-output pairs.

Key Concepts

Labeled data
Mapping
Loss minimization

Use Cases

Image classification
Spam detection
Price prediction

Code Example

from sklearn.linear_model import LinearRegression
model = LinearRegression()
model.fit(X_train, y_train)

Deep Learning

Sat, 18 Jul 2026 07:38:44 +0000

Definition

Deep learning algorithms attempt to mimic the human brain’s analytical and learning processes. By stacking multiple layers of interconnected nodes, these models can learn hierarchical features from raw data without extensive manual feature engineering. This approach has revolutionized fields like speech recognition, natural language processing, and computer vision, achieving state-of-the-art performance on tasks requiring the interpretation of unstructured data such as text, audio, and images.

Summary

A subset of machine learning that uses multi-layered artificial neural networks to model complex patterns and representations in data.

ML on English AI Terms Dictionary

Rule induction

Definition

H2O

Definition

Supervised

Definition

Summary

Key Concepts

Use Cases

Code Example

Related Terms

Deep Learning

Definition

Summary