Fundamentals of AI and ML I
Explore foundational AI and machine learning techniques through practical exam questions focused on object detection, adaptive recommendation systems, model improvement, training optimization, and evaluation metrics. Understand methods like few-shot learning, incremental learning, and strategies for handling imbalanced datasets to strengthen your AWS AI Practitioner knowledge.
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Question 1
Your organization is developing an object detection model for a wildlife conservation project. The goal is to detect and classify endangered animals in images captured by motion-sensor cameras in a dense forest. However, your team has provided only a few labeled examples of each animal species.
Given this limited dataset, which technique can be used to train an object detection model?
A. Reinforcement learning
B. Unsupervised learning
C. Few-shot learning
D. Zero-shot ...