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22 cze 2024 · Distance metrics are used in supervised and unsupervised learning to calculate similarity in data points. They improve the performance, whether that’s for classification tasks or clustering. The four types of distance metrics are Euclidean Distance, Manhattan Distance, Minkowski Distance, and Hamming Distance.
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26 cze 2024 · Edit Distance. Given two strings str1 and str2 of length M and N respectively and below operations that can be performed on str1. Find the minimum number of edits (operations) to convert ‘str1‘ into ‘str2‘. Operation 3 (Replace): Replace a character at any index of str1 with some other character.
25 cze 2024 · What is Support Vector Machine (SVM)? A Support Vector Machine or SVM is a machine learning algorithm that looks at data and sorts it into one of two categories.
27 lip 2023 · Levenshtein distance is the smallest number of edit operations required to transform one string into another. Edit operations include insertions, deletions, and substitutions. In the following example, we need to perform 5 operations to transform the word INTENTION into EXECUTION.
27 cze 2024 · Linear Discriminant Analysis (LDA) is a statistical technique for categorizing data into groups. It identifies patterns in features to distinguish between different classes. For instance, it may analyze characteristics like size and color to classify fruits as apples or oranges.
26 cze 2024 · This open source Python library provides several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning. Website and documentation: https://PythonOT.github.io/ Source Code (MIT): https://github.com/PythonOT/POT. POT provides the following generic OT solvers (links to examples):
20 cze 2024 · For this SDE system, we can define two Python funtions f and g to represent it. def g_part(x, t, p1, p2): dg = g(x, t, p2) return dg def f_part(x, t, p1, p2): df = f(x, t, p1) return df. Same with the ODE functions, the arguments before t denotes the random variables, while the arguments defined after t represents the parameters.
