Across
- 1. refers to the simulation of human intelligence in
- 2. Greater accuracy for certain repeatable tasks, such as assembling vehicles or computers.
- 5. learning A subset of AI that enables machines to improve at tasks with experience.
- 6. Learning: A type of ML that uses neural networks with many layers.
Down
- 1. machine learning uses ----------trained on data sets to create machine learning models that allow computer systems to perform tasks like making song recommendations.
- 3. Allows machines to understand and interpret human language.
- 4. Possible cybersecurity concerns.
