Machine Learning / Design

Designing a Plagiarism Detection System
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There are many ways to design a plagiarism detection system, but the most important part is to have a good database of known plagiarized material to compare new submissions against. Other important factors include the size of the submitted material and the level of similarity required for a match.

Question Generation System
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The goal is to design a system that can automatically generate new questions about a given topic, based on a set of training questions. This can be useful for testing or teaching purposes.

Predicting Customer Churn with Machine Learning
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The goal is to design a machine learning algorithm that can predict whether or not a customer will churn. The input data set will contain customer information such as account length, number of products, customer service calls, etc. The output of the algorithm should be a binary prediction (1 for churn, 0 for no churn).

Averaging Numbers
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This program will take in a list of numbers and output the average.

K-Nearest Neighbors Classifier
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A k-nearest neighbors classifier is a machine learning algorithm that can be used to classify data points into k categories. The algorithm works by taking a set of points in d-dimensional space and finding the k nearest neighbors to each point. The points are then classified into k categories based on the categories of their nearest neighbors.

Binary Classification with Machine Learning
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This problem is about training a machine learning algorithm to do binary classification, i.e. to predict whether a new data point belongs to one class or the other. The data for training is given as a set of pairs (x, y), where x is a feature vector and y is the corresponding label (0 or 1). The goal is to design an algorithm that can learn from this data and correctly classify new data points.

Find the Median Value in an Array of Integers
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This technical problem deals with finding the median value in an array of integers. The proposed solution is to design a function that takes in an array of integers and returns the median value.

Classifying handwritten digits with machine learning
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This technical problem involves implementing a machine learning algorithm to classify images of handwritten digits. The input is a set of images of handwritten digits and the output is the classification of the images.