AI khoá 2 tuần 1 +2 ( lần 2)

Which of the following statements accurately describe machine learning? Select all that apply.

• Professionals use machine learning to express how to perform a task by using explicit instructions.

• Professionals use machine learning to express how to perform a task by using data.

• Machine learning involves training a model.

• Machine learning requires iteration to achieve desired outputs.

Which of the following descriptions applies most closely to data science (as opposed to data analytics)?

• It emphasizes discovering answers to questions being asked.

• It seeks to answer questions like “What happened?” and “Why did it happen?”

• It determines actionable insights that can be applied immediately based on existing queries.

• It seeks to answer questions like “What will happen?” and “How can we make X happen?

Fill in the blank: Machine learning differs from automation in that it enables users to express how to perform a task by using _____ instead of explicit instructions.

• data
• schemas

• mapping

• sampling

Fill in the blank: Before creating predictive models to identify trends and inform best practices, a company must _____ using metrics.

• evaluate its data

• iterate on its processes

• present findings to stakeholders

• encode its data

Fill in the blank: The architecture innovation _____ gets computation and storage closer to a data source for faster response time and to save on network bandwidth.

• edge computing
• virtual reality

• artificial intelligence

• quantum computing

A company evaluates its data using metrics in order to achieve what goals? Select all that apply.

• To identify trends

• To inform best practices

• To create predictive models

• To generate more data

What web-based computing platform can be used by data professionals when interacting with Python?

• R Markdown

• HTML

• SQL

• Jupyter Notebook

Fill in the blank: Edge computing is an _____ that gets computation and storage closer to a data source to save on network bandwidth and for faster response time.

• artificial intelligence

• architecture innovation

• augmented reality

• algorithm

What do data professionals do during a hackathon?

• Vote on the best new data analysis software

• Gain unauthorized access to computer systems

• Install the latest information technology hardware

• Collaborate to solve a problem using technology

What are some examples of personally identifiable information? Select all that apply.

• National identification numbers

• Company names

• Usernames

• Biometric records