Which of the following best describes the role of "Neural Architecture Search" in the future of Data Science?
- Automating data cleaning and preprocessing
- Designing neural network architectures automatically
- Conducting statistical analysis on large datasets
- Implementing data security measures
"Neural Architecture Search" is a technique that involves designing neural network architectures automatically. It is a crucial tool in the future of Data Science as it can optimize the architecture of neural networks for various tasks, improving model performance and efficiency. It automates a critical aspect of deep learning model development.
Loading...
Related Quiz
- In NLP tasks, transfer learning has gained popularity with models like _______ that provide pre-trained weights beneficial for multiple downstream tasks.
- In Matplotlib, the foundation for all visualizations is the _______ object, which provides the canvas where plots are drawn.
- Raw logs from web servers, which might include a mix of text, images, and other file types, are considered _______ data.
- The range of a dataset is calculated by taking the difference between the maximum and the _______ value.
- Data formats that allow for tagging or marking up of data, giving it some level of organization, often fall into the _______ data category.