MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Tom Mitchell provides a more modern definition: “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.” Example : I will make a simple example to understand better .

Detailed explanation-2: -Machine Learning is the training of a model from data that generalizes a decision against a performance measure. Training a model suggests training examples. A model suggests state acquired through experience.

Detailed explanation-3: -What Is Machine Learning? Machine learning is the concept that a computer program can learn and adapt to new data without human intervention. Machine learning is a field of artificial intelligence (AI) that keeps a computer’s built-in algorithms current regardless of changes in the worldwide economy.

Detailed explanation-4: -Machine learning (ML) is the application of computer algorithms that improve automatically through experience. Machine learning algorithms build a model based on sample data, known as “training data, ” in order to make predictions or decisions without being explicitly programmed to do so.

Detailed explanation-5: -Explanation: Machine learning is the autonomous acquisition of knowledge through the use of computer programs. 2. Which of the factors affect the performance of learner system does not include? Explanation: Factors that affect the performance of learner system does not include good data structures.