MACHINE LEARNING A BAYESIAN AND
OPTIMIZATION PERSPECTIVE ACTUAL
TEST PAPER UPDATED COMPLETE
QUESTIONS WITH VERIFIED ANSWERS
●● What is deductive reasoning?
Answer: Starts with a general rule (premise) and moves to a guaranteed
specific conclusion.
●● What makes deductive reasoning sound?
Answer: It is valid and all of its premises are actually true.
●● What is inductive reasoning?
Answer: Starts with specific observations and moves to a general
conclusion or theory, which is likely but not guaranteed.
●● What is abductive reasoning?
Answer: Starts with incomplete observations and seeks the most likely
explanation based on prior knowledge.
●● How does deductive reasoning relate to machine learning?
Answer: Deductive reasoning provides absolute certainty, but it is not
machine learning.
, ●● What is the definition of machine learning?
Answer: A computer program learns from experience E with respect to
tasks T and performance measure P if its performance improves with
experience.
●● What are the three main categories of machine learning?
Answer: Supervised learning, unsupervised learning, and reinforcement
learning.
●● What is supervised learning?
Answer: Learning from labeled data to construct a classifier that predicts
future data labels.
●● What is unsupervised learning?
Answer: Learning from unlabeled data to discover hidden patterns or
structures.
●● What is reinforcement learning?
Answer: Learning through trial and error by interacting with an
environment without a predefined dataset.
●● What is a hypothesis in machine learning?
OPTIMIZATION PERSPECTIVE ACTUAL
TEST PAPER UPDATED COMPLETE
QUESTIONS WITH VERIFIED ANSWERS
●● What is deductive reasoning?
Answer: Starts with a general rule (premise) and moves to a guaranteed
specific conclusion.
●● What makes deductive reasoning sound?
Answer: It is valid and all of its premises are actually true.
●● What is inductive reasoning?
Answer: Starts with specific observations and moves to a general
conclusion or theory, which is likely but not guaranteed.
●● What is abductive reasoning?
Answer: Starts with incomplete observations and seeks the most likely
explanation based on prior knowledge.
●● How does deductive reasoning relate to machine learning?
Answer: Deductive reasoning provides absolute certainty, but it is not
machine learning.
, ●● What is the definition of machine learning?
Answer: A computer program learns from experience E with respect to
tasks T and performance measure P if its performance improves with
experience.
●● What are the three main categories of machine learning?
Answer: Supervised learning, unsupervised learning, and reinforcement
learning.
●● What is supervised learning?
Answer: Learning from labeled data to construct a classifier that predicts
future data labels.
●● What is unsupervised learning?
Answer: Learning from unlabeled data to discover hidden patterns or
structures.
●● What is reinforcement learning?
Answer: Learning through trial and error by interacting with an
environment without a predefined dataset.
●● What is a hypothesis in machine learning?
