Data & Artificial Intelligence (AI) Flashcards
Data, data storytelling, AI, and Data science CDS Essentials high-level questions
“Data Literacy” refers to the ability to do what four things with data?
- Read
- Work with
- Analyze
- Argue with
What are the “Three Us” (U being “Understand”) of data storytelling?
- Understand the data
- Understand the audience
- Understand the business question or need
What data analysis technique “summarizes and presents the main features of data”?
Descriptive analysis
What data analysis technique “uses a sample dataset to infer conclusions about the larger population of data”?
Inferential analysis
What data analysis technique “uses historical data to predict future outcomes”?
Predictive analysis
What data analysis technique aims to “understand the reasons behind past outcomes by identifying the cause of specific incidents or problems”?
Diagnostic analysis
What data analysis technique “recommends actions in order to achieve desired goals”?
Prescriptive analysis
What sort of artificial intelligence has the functionality of “[focusing] on one narrow task”?
Artificial Narrow Intelligence (ANI)
What sort of artificial intelligence has the functionality of “understanding and learning any intellectual task that a human can”?
Artificial General Intelligence (AGI)
What sort of artificial intelligence would have the ability to “surpass human intelligence, evoking emotions, needs, and / or beliefs of its own”? [hypothetically exists]
Artificial Super Intelligence (ASI)
Artificial intelligence can be categorized into two categories; what are they?
- Technology: the type of technology the AI uses
- Functionality: what sort of functionality AI uses to complete its tasks
What subset of artificial intelligence uses training data and an initial algorithm to predict results and then continuously tests and tweaks the algorithm it uses until acceptable predictions are generated?
Machine learning
What subset of artificial intelligence uses neural networks to train itself?
Deep learning
What are the three main differences between machine learning and deep learning?
- Deep learning has better performance with similar amounts of data
- Deep learning does not require feature extraction to be done manually by a human
- Deep learning requires much more processing power
What branch of artificial intelligence can understand, analyze and interpret text and spoken word in the same way human beings can?
Natural Language Processing (NLP)
