Machine Learning Quiz

What is the first step in solving a real-world business problem with Machine Learning?

• Data preparation

• Model training

• Problem framing

• MLOps

In the context of Uber, what is a problem related to excess drivers?

• Too many drivers, not enough ride requests

• Too many ride requests

• High operational costs

• Too few drivers for ride requests

What is the second step in the model building process?

• Iteratively beat the baseline model

• Split the data into train and validation sets

• Implement MLOps

• Create a baseline model without ML

What is the first component of the real-world ML project pipelines mentioned?

• The evaluation pipeline

• The feature pipeline

• The training pipeline

• The inference pipeline

What is the goal of the data preparation step?

• To visualize data

• To deploy the model

• To clean and organize data for analysis

• To create a user interface

Which of the following is NOT a strategy to improve a Machine Learning model?

• Use more complex algorithms

• Randomly split the data

• Create a baseline model without ML

• Iteratively beat the baseline model

What does MLOps stand for?

• Model Optimization Operations

• Model Learning Operations

• Machine Learning Operations

• Machine Learning Optimization

In the context of the Kraken cryptocurrency exchange, what is the purpose of the inference pipeline?

• To evaluate model performance

• To collect data

• To make predictions based on the model

• To prepare data for training

What is the primary purpose of feature engineering in Machine Learning?

• To visualize data

• To evaluate model performance

• To create new input features from existing data

• To deploy the model