Define Following: 1. Artificial intelligence 2. Data Science 3. BI
[3 marks]Discuss the applications of AI.
[4 marks]Explain the state space representation with suitable example.
[7 marks]Differentiate strong AI vs Weak AI.
[3 marks]Explain backward reasoning with example.
[4 marks]Define constraint satisfaction problem (CSP). Explain CSP with example.
[7 marks]Discuss hill climbing algorithm. Also discuss the problems associated with hill climbing.
[7 marks]Translate following sentences into formulas in Predicate logic: 1. Cricket is a game. 2. Khokho is a game. 3. Rohan and Manan are students. 4. Rohan plays Cricket.
[3 marks]Explain components of production system.
[4 marks]Discuss A* algorithm with one example.
[7 marks]Explain means-ends analysis in short.
[3 marks]Consider the following facts: 1. All the dogs are animal. 2. Rambo is a dog. 3. All the animal will die. Using resolution prove the statement, "Rambo will die". Page 1 of
[2 marks]Discuss procedural versus declarative Knowledge with example.
[7 marks]"Nowadays, Social media analytics is an important marketing channel for marketers." Discuss the validity of the statement.
[3 marks]Compare BFS vs DFS.
[4 marks]Explain descriptive and predictive analytics in detail .
[7 marks]Explain Isa relationship with example.
[3 marks]Enlist and explain prescriptive analytics techniques.
[4 marks]Discuss the framework for data driven decision making
[7 marks]Explain the issues in knowledge representation.
[3 marks]Write the challenges of data driven organizations.
[4 marks]Discuss the steps involved in data science pipeline.
[7 marks]Enlist the characteristics of data scientist.
[3 marks]Write down the python code snippet to load data and train a model with suitable example.
[4 marks]Discuss the role of python in data science. Page 2 of
[2 marks]