Artificial Intelligence unit 5 – Pattern Recognition, most Important, most asked previous year questions in your semester exams are listed below. It will help you in the preparation of your semester exam to score good marks. It will also save you from the backlogs. Topic : Pattern Recognition, LDA, PCA(Key Note and Questions) Questions Topic … Read more
Artificial Intelligence unit 4 – Machine Learning, most Important, most asked previous year questions in your semester exams are listed below. It will help you in the preparation of your semester exam to score good marks. It will also save you from the backlogs. Topic : Machine Learning (Key Note and Questions) Questions
Artificial Intelligence unit 3 – Knowledge Representation & Reasoning, most Important, most asked previous year questions in your semester exams are listed below. It will help you in the preparation of your semester exam to score good marks. It will also save you from the backlogs. Topic : Knowledge Representation & Reasoning (Key Note and … Read more
Artificial Intelligence unit 2 – Introduction to search , most Important, most asked previous year questions in your semester exams are listed below. It will help you in the preparation of your semester exam to score good marks. It will also save you from the backlogs. Topic : Introduction to Search (Key Note and Questions) … Read more
On this page, you will find all the most important and most asked previous year questions from unit 1 of the Artificial Intelligence subject. It will help you in the preparation of your semester exam to score good marks. It will also save you from the backlogs. Topic : Intro to AI & Its Applications … Read more
The abstract data type (ADT) is a data type that focuses on what it does by ignoring how it does. In other words, an ADT is defined by its operations and their semantics, rather than by its implementation. The Best example of this Abstract data type is Stack and Queue. Stack having its push and … Read more
Asymptotic Notations are languages to express the required time and space by an algorithm to solve a given problem. We can also define it as Asymptotic notation describes the running time of an algorithm for a given input. It is used to analyze the efficiency of the algorithm that is machine-independent. We can also plot … Read more
The complexity of an algorithm shows how fast or slow that particular algorithm can solve the desired problem. We calculate complexity of algorithm in these three scenarios 1). Worst Case It denotes the maximum run time that could be taken by an algorithm over all inputs of size n. That is, we only consider the … Read more
The efficiency of an algorithm defines the number of computational resources used by an algorithm and time taken by an algorithm to produce the desired result. If an algorithm contains only linear functions (having no loops or recursions), we calculate its efficiency or running time by counting the number of instructions it contains. However, For … Read more