Machine Learning and AI Foundation

Which of these is NOT a common application of unsupervised machine learning?

• Customer segmentation

• Targeted marketing campaigns

• Spam detection

• Outlier detection

You are writing poems, do you need your computer to help your complete your lines by suggesting right words. Which deep learning model is well suited for this task?

• Variational auto encoder (VAE )

• Generative adversarial network (GAN)

• convolutional neural network (CNN)

• Recurrent neural network (RNN)

What does the retrieval augmented generation (RAG ) involve?

• Querying enterprise knowledge bases to provide grounded response

• Providing examples in the prompt to steer the model

• Optimizing a pre trained model on a domain specific data set

• Teaching the model new skills with custom data

Which of these describes the combination and application of supervised unsupervised and reinforced learning in a real world scenario?

• Reinforcement learning is used for spam detection, unsupervised learning is used for speech recognition, and supervised learning is used for game playing strategies

• Supervised learning is used for training models with labeled data, unsupervised learning is used for discovering hidden patterns in unlabeled data and reinforcement learning is used for decision making in dynamic environments.

• Unsupervised learning is used for predicting outcomes based on input data, supervised learning is used for grouping similar data points, and reinforcement learning is used for optimizing static processes.

• Supervised learning is used for clustering data, unsupervised learning is used for training a chat bot, and reinforcement learning is used for image classification.

What is the role of the loss function in supervised learning algorithms ?

• It measures the similarity between predictions and actual targets

• It evaluates the model's complexity

• It helps and feature scaling

• it quantifies the cost of incorrect predictions

What is the primary function of the inference process in machine learning?

• Predicting outcomes from new data points

• Labeling the training data

• Adjusting the weights of a neural network

• Collecting training data

What is the role of a target variable in supervised learning?

• It represents the input data

• It helps in feature selection

• It is used to split the data set

• it contains the desired output or class labels

Which is not a part of Oracle's responsible AI guidelines?

• Ensuring compliance

• Ensuring equality

• Setting up governance

• Developing policies and procedures

Which AI domain can be used in the detection of fraudulent transactions?

• Anomaly detection

• image recognition

• Learn by reward

• Natural language processing

Which type of machine learning algorithm is used in predicting house prices?

• Unsupervised learning

• Reinforcement learning

• supervised classification

• supervised regression