May 18, 2025 · 2 min read · I developed a simple yet effective algorithm for identifying outliers in a daily-updated database containing thousands of historical item-level records. Without resorting to machine learning or deep learning, the method uses each time series' median ...
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Jul 11, 2024 · 5 min read · To see the question, click here. Naive Approach The idea is to store the elements in a list. At each stage of adding an element, we will sort the list because the elements may not be added to the list in a sorted fashion. // TC: O(nlogn) for addNum a...
Join discussionDec 26, 2023 · 2 min read · Functions for Statistical Calculations: statistics.mean(): Calculates the arithmetic mean of a sequence of numbers. statistics.median(): Calculates the median of a sequence of numbers. statistics.mode(): Calculates the mode of a sequence of number...
Join discussionJan 19, 2023 · 2 min read · Since median is harder than min/max/count and not a standard aggregate function, we’ll need to do a little more work to calculate it. Here’s how on several different databases: Median on Redshift The Redshift team recently released a median window fu...
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Aug 25, 2022 · 2 min read · Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)). Example 1: Input: nums1 = [1,3], nums2 = [2] Output: 2.00000 Explanation: merged...
Join discussionJun 29, 2022 · 5 min read · Here , I'll be discussing what is deep learning and what is the statistics or maths involved in it . So , we all know about Elon Musk and what is he doing to the world by his innovations ! It's the face recognition , self driving car and what's he d...
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