Machine Learning

Largest Sum of Non-Adjacent Numbers
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This problem asks for the largest sum of non-adjacent numbers from a given list of integers. For example, given the list [2, 4, 6, 2, 5], the largest sum would be 13 (2+6+5).

Designing New Machine Learning Algorithms with Machine Learning
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A machine learning algorithm is proposed that can automatically design new machine learning algorithms. The algorithm is based on a search algorithm that looks for the best combination of components to form a new machine learning algorithm .

Design a support vector machine (SVM) to classify a set of data points .
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The support vector machine should classify the data points as follows: (1,1) -> 1, (2,2) -> 1, (3,3) -> 1, (4 ,4) -> 1, (5,5) -> 1, (6,6) -> -1, (7,7) -> -1, (8,8) -> -1 , (9,9) -> -1, (10,10) -> -1.

Linear Regression - Find the Line of Best Fit
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Given a set of data points, linear regression is used to find the line of best fit. This line is represented by the equation y=mx+b, where m is the slope of the line and b is the y-intercept.

Design a support vector machine (SVM) to classify data points.
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The goal is to design a support vector machine (SVM) that can take a set of data points and correctly classify them as positive or negative.

Label Correction in Images
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The given dataset contains images and their corresponding labels. However, some of the labels are incorrect. The objective is to design an algorithm that can correct the labels.

Two-Class Data Classification with a Machine Learning Algorithm
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This technical problem deals with implementing a machine learning algorithm to classify data into two groups. The input is a dataset with two features, x1 and x2. The output is a model that predicts the class label (0 or 1) for new data points.

Designing a Machine Learning Algorithm to Predict Loan Default Probability
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The goal is to design a machine learning algorithm that can predict the probability of a loan default, given a set of features about the loan and the borrower.