Cosine similarity is a metric used to measure the similarity between two vectors. It’s commonly employed for comparing high-dimensional data, such as text data. Features: Example: Let’s say we have two users, A and B, who rate movies using vectors. In this case, users A and B have similar ratings for Action and Comedy, so the cosine similarity… Read More »
The Monte Carlo method is a technique that uses random numbers to solve complex problems. For example, consider the following types of problems: These problems can be difficult to solve analytically. The Monte Carlo method involves performing experiments using a large number of randomly generated numbers and making statistical estimations based on the results. Origin of the name:… Read More »
Hash table search is an algorithm for efficiently searching data. Instead of looking sequentially like in a regular array, it uses a “hash function” to convert the data into an “index” where the data is stored, enabling fast access. Imagine: Let’s consider finding a book in a library. How Hash Table Search Works Code Explanation Advantages & Disadvantages… Read More »
Binary search is a very efficient method for finding a specific value within a sorted list of data. Think of it like looking up a word in a dictionary. Specific Steps: Advantages: Disadvantages: In Summary: Binary search is a powerful algorithm for efficiently finding a specific value within sorted data. Understanding the dictionary analogy can help you grasp… Read More »
The Least Squares Method is a way to find the best-fitting line for your data. It might sound complicated, but it’s similar to thinking you do in everyday life. Example: Ice Cream Sales and Temperature You run an ice cream shop. Every day, you record the highest temperature of the day and how many ice creams you sell.… Read More »