Flashcards in this deck (15)

• What is Machine Learning (ML)?

  A subset of artificial intelligence that teaches computers to learn from data.
  machine_learning artificial_intelligence
• What is data in ML?

  The raw material used by ML algorithms to learn, can be structured or unstructured.
  data machine_learning
• What is an algorithm in ML?

  A set of instructions that the computer follows to learn from data.
  algorithm machine_learning
• What is a model in ML?

  The output of the learning process, a mathematical representation of data patterns.
  model machine_learning
• What is training in ML?

  The process of teaching the algorithm to recognize patterns using examples.
  training machine_learning
• What is testing in ML?

  The evaluation of how well the model performs on new, unseen data.
  testing machine_learning
• What is supervised learning?

  The algorithm is provided with labeled data for tasks like classification and regression.
  supervised_learning machine_learning
• What is unsupervised learning?

  The algorithm finds patterns in unlabeled data, like clustering and dimensionality reduction.
  unsupervised_learning machine_learning
• What is reinforcement learning?

  The algorithm learns by interacting with an environment, receiving rewards or penalties.
  reinforcement_learning machine_learning
• What is linear regression?

  An algorithm used for predicting a continuous numerical value.
  linear_regression algorithms
• What is logistic regression?

  An algorithm used for classification tasks.
  logistic_regression algorithms
• What are decision trees?

  An algorithm used for classification and regression, creating a tree-like structure.
  decision_trees algorithms
• What are random forests?

  An ensemble of decision trees that improves accuracy by combining predictions.
  random_forests algorithms
• What are support vector machines (SVMs)?

  Algorithms used for classification and regression, separating data points into classes.
  svm algorithms
• What are neural networks?

  Algorithms inspired by the human brain, made of interconnected nodes that process information.
  neural_networks algorithms