AI vs Data Science — Learn free

Self-check

Questions 1–10 of 10

1. At a high level, how does I Am Datapedia! distinguish Data Science from Artificial Intelligence?
Question 1A. Data Science is when humans build and run models; AI is when matured models are passed to machines to run themselvesB. Data Science uses structured data only; AI uses unstructured data onlyC. Data Science is a branch of AI concerned with storing dataD. AI is any statistical model, while Data Science is any visualisationE. There is no difference; the two terms are synonyms
2. Which kinds of data are used to create Data Science models in the current era?
Question 2A. Only structured data held in relational tablesB. Only unstructured data such as text and imagesC. Only semi-structured data such as JSON filesD. Structured, semi-structured and unstructured dataE. Only data that has already been summarised
3. Which of the following is NOT one of the things a matured model does by itself once it has become AI?
Question 3A. Train itselfB. Fix itselfC. Analyse itselfD. Predict itselfE. Recruit the data scientists who built it
4. A team of analysts builds a model on customer data and runs it themselves to predict which customers will leave. Which term best describes this activity?
Question 4A. Artificial IntelligenceB. Data ScienceC. Data EntryD. Machine AutonomyE. Data Liberalisation
5. At what point does a Data Science model become Artificial Intelligence?
Question 5A. As soon as it is written in a programming languageB. When it is trained on more than one million rowsC. When the matured model is passed to systems or machines that run, train, fix, analyse and predict by themselvesD. When a human approves its first predictionE. When it is published in a dashboard for business users
6. What is the stated aim of comparing AI with Data Science in I Am Datapedia!?
Question 6A. To explain the difference between the two at a very high levelB. To elaborate in detail what AI isC. To prove that AI will replace Data ScienceD. To list every algorithm used in AIE. To recommend a programming language for AI
7. According to I Am Datapedia!, being clear about which subject makes understanding AI unproblematic?
Question 7A. Database administrationB. Data visualisationC. Network securityD. Data ScienceE. Project management
8. What are Data Science models created to do with huge datasets?
Question 8A. Archive and compress themB. Analyse and predictC. Encrypt and secure themD. Rename and relocate themE. Print and distribute them
9. How does I Am Datapedia! characterise the debate over AI versus Data Science?
Question 9A. A settled matter with a single accepted definitionB. A purely academic question with no practical relevanceC. A topic only relevant to hardware engineersD. A question that only matters for unstructured dataE. A very controversial topic that confuses many people
10. Which statement about Artificial Intelligence is consistent with the description in I Am Datapedia!?
Question 10A. AI is fully explained by the idea of a self-running modelB. AI is limited to models that predict customer behaviourC. AI is much more than a self-running model, but the self-running model is the high-level distinction from Data ScienceD. AI can only be built on structured dataE. AI is always created without any human involvement