Machine Learning / Design
Binary Classification Problem: Learn a Function to Map Features to Labels
AskAI
In order to learn a function that can map features to labels for a binary classification problem, you need to have a set of training data that includes both the features and the labels. Once you have this data, you can then use a machine learning algorithm to learn the function.
Housing Price Prediction
AskAI
This program takes in a dataset of housing prices and predicts the price of a new house given its features.
Implementing a k-nearest neighbors algorithm for regression.
AskAI
The k-nearest neighbors algorithm predicts the target value for a new data point by averaging the target values of the k closest training data points.
Find the Closest Pair of Points in 2D Space
AskAI
Given a list of points in 2D space, this algorithm finds the closest pair of points. For example, given the input [(1, 3), (2, 5), (3, 7), (4, 2), (5, 4), (6, 6), (7, 8), (8, 1)], the output would be ((1, 3), (4, 2)).
Finding a specific object in a set of images.
AskAI
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.
Automatic article categorization by topic.
AskAI
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.
Summing Even Numbers in an Array
AskAI
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.
Animal image classification with machine learning
AskAI
The objective of this problem is to design a machine learning algorithm that can classify images of different types of animals.
