Final-ML-NLP

What is artificial intelligence primarily defined as?

• The development of computer hardware

• The simulation of human intelligence by machines

• The creation of robots only
  

• The process of data collection

Which of these is NOT a core component of AI?

• Computer vision

• Natural language processing

• Database management
  

• Speech recognition

What is machine learning?

• A type of computer programming

• A method of hardware optimization

  c. A branch of AI focusing on data and algorithms to imitate human learning
  d. The process of building physical robots

• A branch of AI focusing on data and algorithms to imitate human learning
  

• The process of building physical robots

In supervised learning, what is essential?

• Unlabeled datasets

• Random data collection

• No human intervention

• Labeled datasets

What is the primary function of collaborative filtering?

• To block unwanted content

• 
  To organize data alphabetically
  

• To filter items based on similar users' reactions

• To speed up computer processing

What is a key characteristic of unsupervised learning?

• It requires labeled datasets

• It needs constant human supervision

• It discovers hidden patterns without human intervention

• It only works with numerical data

What is Naive Bayes' key assumption?

• All predictors are dependent

• All predictors are independent

• Only numerical data can be used

• It requires human supervision

What percentage of data is typically used for training in the machine learning model discussed?

• 90%

• 70%

• 60%

• 80%

What is overfitting in machine learning?

• When the model is too simple

• When the model covers more than required data points

• When the model has no variance
  

• When the model is undertrained

What is a confusion matrix used for?

• To confuse the machine learning model
  

• To organize raw data

• To define classification algorithm performance
  

• To create neural networks