ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

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Applied AI and Machine Learning Professional adapted Exam Answer Key with Notes

1. You are developing a chatbot for customer service using natural language processing (NLP). Which model would you use to generate human-like responses to customer queries?
   Answer: GPT-3
   Note: GPT-3 (Generative Pre-trained Transformer 3) is designed for generating coherent, human-like text responses based on the input it receives, making it ideal for chatbot applications.
2. In a recommendation system, you’re tasked with predicting user preferences based on past interactions. Which algorithm would you choose to implement collaborative filtering?
   Answer: Matrix factorization
   Note: Matrix factorization techniques such as Singular Value Decomposition (SVD) are commonly used for collaborative filtering, breaking down the interaction matrix into factors to predict preferences.
3. You’re building an image classification model to distinguish between cats and dogs. Which type of neural network would you use to process and classify these images effectively?
   Answer: Convolutional Neural Network
   Note: Convolutional Neural Networks (CNNs) are specifically designed for image classification tasks, as they can automatically detect spatial hierarchies in images.
4. You need to predict house prices using a dataset with multiple features (e.g., number of bedrooms, square footage). Which machine learning algorithm would you apply to this regression problem?
   Answer: Linear Regression
   Note: Linear regression is a simple and effective algorithm for predicting continuous values, such as house prices, based on multiple input features.  PAY AND SEE MORE