The problem is to find a specific object in a set of images. This can be done by using a machine learning algorithm to learn what the object looks like and then searching for it in the images.
Given a list of customer names and their purchase amounts, this SQL query will find the total amount spent by each customer.
The goal is to design a system that can automatically categorize articles by topic. This can be done by training a machine learning model on a dataset of articles with labels indicating the topic of each article.
The problem is to write a function that sums the even numbers in an array. The input is an array of integers, and the output is the sum of the even numbers in the array.
The objective of this problem is to design a machine learning algorithm that can classify images of different types of animals.
This technical problem deals with implementing a k-means clustering algorithm from scratch. The input is a set of data points, and the output is a set of clusters.
The problem is to predict the category label for a new data point, given a set of data points with category labels.
This function returns the sum of the squares of all the integers in a given list.