math Archives - Petamind https://petaminds.com/category/data-science/math/ A.I, Data and Software Engineering Fri, 21 Jan 2022 20:01:23 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://petaminds.com/wp-content/uploads/2019/09/ic_launcher.png math Archives - Petamind https://petaminds.com/category/data-science/math/ 32 32 Lasso vs Ridge vs Elastic Net – Machine learning https://petaminds.com/lasso-vs-ridge-vs-elastic-net-machine-learning/ https://petaminds.com/lasso-vs-ridge-vs-elastic-net-machine-learning/#respond Tue, 11 Jan 2022 19:43:00 +0000 https://petaminds.com/?p=2923 Lasso, Ridge, and Elastic Net are excellent methods to improve the performance of your linear model. This post will summarise the usage of these regularization techniques. Bias: Biases are the underlying assumptions that are made by data to simplify the target function. Bias does help us generalize the data better and make the model less […]

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]]> https://petaminds.com/lasso-vs-ridge-vs-elastic-net-machine-learning/feed/ 0 Number of Islands solution https://petaminds.com/number-of-islands-solution/ https://petaminds.com/number-of-islands-solution/#respond Thu, 21 Oct 2021 22:36:30 +0000 https://petaminds.com/?p=3438 In this post, we have a look at using a queue and breath-first search algorithm to solve a Leetcode challenge. The problem is stated as follows. Given an m x n 2D binary grid grid which represents a map of '1's (land) and '0's (water), return the number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally […]

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]]> https://petaminds.com/number-of-islands-solution/feed/ 0 Common Loss functions and their uses – quick note https://petaminds.com/common-loss-functions-and-their-use-quick-note/ https://petaminds.com/common-loss-functions-and-their-use-quick-note/#respond Sat, 08 Feb 2020 02:28:54 +0000 https://petaminds.com/?p=2132 Machines learn by means of a loss function which reflects how well a specific model performs with the given data. If predictions deviate too much from actual results, loss function would yield a very large value. Gradually, with function, parameters are modified accordingly to reduce the error in prediction. In this article, we will quickly […]

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]]> https://petaminds.com/common-loss-functions-and-their-use-quick-note/feed/ 0 Math for ML – Vector norms quick note https://petaminds.com/math-for-ml-vector-norms-quick-note/ https://petaminds.com/math-for-ml-vector-norms-quick-note/#respond Fri, 06 Dec 2019 01:33:58 +0000 https://petaminds.com/?p=1971 Vector norms are used in many machine learning and computer science problems. This article covers some common norms and related applications. From a high school entrance exam… Remember the day (?/?/1998) when I took an exam to a high school, there was a problem of finding the shortest path from A to B knowing that […]

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]]> https://petaminds.com/math-for-ml-vector-norms-quick-note/feed/ 0 Math for ML – Linear dependence & Linear Equation https://petaminds.com/math-for-ml-linear-dependence-linear-equation/ https://petaminds.com/math-for-ml-linear-dependence-linear-equation/#respond Sun, 06 Jan 2019 21:48:00 +0000 https://petaminds.com/?p=1703 Continue with math for machine learning, this article will give a quick note on definition of linear dependence and demonstration with python. Linear Dependence In the theory of vector spaces, a set of vectors is said to be linearly dependent if at least one of the vectors in the set can be defined as a linear combination of the others; if no vector in […]

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