Fundamentals of AI and ML I
Explore key AI and ML concepts such as foundation models, responsible AI, and security compliance. Learn to identify appropriate AI/ML use cases and AWS services pivotal for business solutions. Understand best practices in feature engineering, supervised learning algorithms, and AWS tools like SageMaker for building predictive models.
We'll cover the following...
Question 1
Neural network
Effective in training an agent to master complex board games through iterative trials.
Reinforcement learning
An architecture commonly used in image classification and speech recognition tasks.
Natural language processing
A process that trains neural networks with multiple layers to automatically learn hierarchical patterns from large datasets.
Deep learning
Used to build systems that extract insights from customer feedback written in free-text format.
Question 2
A global retail company has noticed an increasing volume of customer complaints related to product delivery, and they are exploring AI/ML solutions to address this issue. The company has a large online presence and ships products worldwide. They have narrowed down potential use cases for AI/ML implementation. Which use case is least likely to provide immediate value using AI/ML?
A. Using machine learning to predict delivery delays based on historical ...