Design
Designing a machine learning algorithm to prove the existence of at least one...
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In this problem, the goal is to design a machine learning algorithm that can prove the existence of at least one natural number that is not the sum of two cubes. This is an interesting problem because it requires the algorithm to be able to learn and generalize from data, and then use that knowledge to prove a mathematical statement.
Email Spam Classification Using Basic Machine Learning
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The goal is to develop a machine learning algorithm that can automatically classify emails as spam or not spam. The input is a set of email messages, and the output is a classification for each email .
Basic Machine Learning Algorithm for Data Classification
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This technical problem deals with implementing a basic machine learning algorithm to classify data into two groups. The input is a set of data points, each with two features. The output is a set of labels indicating which group each data point belongs to.
Design a linear regression algorithm for prediction
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Design an algorithm that can learn from training data to make predictions for new input values. In the example given, x4 = 3 would output 8.
Machine Learning Algorithm for Playing Go
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A machine learning algorithm is needed to learn how to play the game of Go. The algorithm should be able to identify patterns, make strategic decisions, and evaluate the board state in order to choose the best moves. If successful, this could be a major advance in artificial intelligence.
Finding the Line of Best Fit
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The problem is to find the line of best fit for a set of data points. For example, given the data points (1,2), (2,4), (3,6 ), and (4,8), the line of best fit would be y = 2x.
Find the Closest Pair of Points in 2D Space
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Given a list of points in 2D space, the goal is to find the closest pair of points. This can be done by iteratively computing the distance between each pair of points and keeping track of the minimum distance.
Find 3 Closest Points in 2D Space
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Given a set of points in 2D space, this algorithm finds the 3 points that are closest to each other.
