machine learning

Data-driven pattern acquisition

Machine learning is a branch of artificial intelligence where computer systems improve their performance through experience rather than explicit programming.

The system analyzes data, identifies patterns, and refines its predictions or decisions over time: The spam filter uses machine learning to adapt to new threats.

Machine learning powers everything from recommendation algorithms to voice recognition to self-driving cars.

applications

computer vision

AI interpreting visual data

autonomous vehicles · medical diagnosis · chatbots · facial recognition · drug discovery · credit scoring · personalization

prediction

classification

Systematic grouping by traits

inference · probability · extrapolation · interpolation · time series · trend analysis · propensity · likelihood · scoring · ranking

training

backpropagation

Reverse gradient computation method

regularization · dropout · cross-validation · training data · fine-tuning · convergence

data

feature engineering

Creating predictive input variables

embeddings · vectorization · tokenization · sampling

evaluation

accuracy

Degree of correctness

  • precisionAccuracy of measurement
  • recallMemory retrieval act
  • AUCIntegrated area beneath plotted line

generalization · benchmark · baseline · ground truth · metrics · performance · validation

algorithms

neural network

Interconnected computational nodes mimicking cognition

perceptron · genetic algorithm · transformer · boosting · bagging

Categories
Opposites
programming paradigm

machine learningexpert systems

AI using encoded rules

knowledge acquisition method

machine learninginstinct

Innate behavioral tendency

human cognition · trial and error · apprenticeship · book learning · folk wisdom

automation vs. manual process

machine learningexpert opinion

Informed judgment from specialists

gut feeling

Family

learn, machine, learning, learned, learner, machinery, machines, learnt, learners

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