InternshipKey terms and common mistakes
The words you will hear in Artificial Intelligence & Machine Learning work and the mistakes that most often cost interns approvals.
Key terms
| Term | Meaning |
|---|---|
| AI | Machines showing intelligent behaviour |
| Supervised learning | Learning from labelled data |
| Feature | Input variable |
| Linear regression | Fits a straight-line relationship |
| Logistic regression | Probability-based classifier |
| Precision | Correct positives among predicted positives |
k-means | Clustering into k groups |
| Neuron | Unit computing weighted sum + activation |
Common mistakes to avoid
- Trusting an AI answer without checking facts or numbers.
- Testing a model on the same data it was trained on and reporting a fake high accuracy.
- Writing vague prompts and blaming the model for vague answers.
- Pasting private or personal data into public AI tools.
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