AML

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Across
  1. 2. A fundamental package for scientific computing that uses multidimensional arrays (ndarrays).
  2. 4. A feedback-based technique where an agent learns to behave in an environment through rewards and penalties.
  3. 5. Learning that uses unlabeled datasets to find hidden patterns without explicit guidance.
  4. 6. The desired output for a single data point, such as the specific species of a flower.
  5. 11. problem type where the goal is to predict one of several categorical options or "Classes".
  6. 12. The properties that describe data points, represented as columns in a dataset
Down
  1. 1. A type of learning where the algorithm is provided with pairs of inputs and desired outputs
  2. 3. A category of supervised learning problems alongside classification.
  3. 7. A prepackaged Python distribution designed for large-scale data processing and scientific computing.
  4. 8. The classical dataset used in the presentation to demonstrate flower species classification.
  5. 9. A collection of functions for advanced linear algebra and signal processing.
  6. 10. A library used for data wrangling and analysis, built around the "DataFrame" structure.