You are developing deep learning models to analyze semi-structured, unstructured, and structured data types. You have the following data available for model building: Video recordings of sporting events Transcripts of radio commentary about events Logs from related social media feeds…

You are implementing a machine learning model to predict stock prices. The model uses a PostgreSQL database and requires GPU processing. You need to create a virtual machine that is pre-configured with the required tools. What should you do? A.…

You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size. You have the following requirements: Models must be built using Caffe2 or Chainer frameworks. Data scientists…

Your team is building a data engineering and data science development environment. The environment must support the following requirements: support Python and Scala compose data storage, movement, and processing services into automated data pipelines the same tool should be used…