A hash filter creates a hash sum from data, typically e-mail, and compares the sum against other previously defined sums. Depending on the purpose of the filter, the data can then be included or excluded in a function based on whether it matches an existing sum. For example, when a message is received by an e-mail server with a hash filter, the contents of the e-mail is converted into a hash sum. If this sum corresponds to the hash sum of another e-mail which has been categorized as spam, the received e-mail is prevented from being delivered. Spammers attempt to evade this by adding random strings to the text content and random pixel changes ("confetti") to image content (see image spam). (Wikipedia).
From playlist filter (less comfortable)
Introduction to Frequency Selective Filtering
http://AllSignalProcessing.com for free e-book on frequency relationships and more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Separation of signals based on frequency content using lowpass, highpass, bandpass, etc filters. Filter g
From playlist Introduction to Filter Design
For more information on Bloom Filters, check the Wikipedias: http://en.wikipedia.org/wiki/Bloom_filter , for special topics like "How to get around the 'no deletion' rule" and "How do I generate all of these different hash functions anyways?" For other questions, like "who taught you how
From playlist Software Development Lectures
In this video, you’ll learn more about how hashtags are used on Twitter. Visit https://www.gcflearnfree.org/twitter/what-is-a-hashtag/1/ for our text-based lesson. This video includes information on: • Using hashtags • Browsing popular hashtags We hope you enjoy!
From playlist Twitter
An informal introduction to cryptography. Part of a larger series teaching programming at http://codeschool.org
From playlist Cryptography
Why Use Kalman Filters? | Understanding Kalman Filters, Part 1
Download our Kalman Filter Virtual Lab to practice linear and extended Kalman filter design of a pendulum system with interactive exercises and animations in MATLAB and Simulink: https://bit.ly/3g5AwyS Discover common uses of Kalman filters by walking through some examples. A Kalman filte
From playlist Understanding Kalman Filters
Get the Code Here: http://goo.gl/srwIf Welcome to my Java Hash Table tutorial. A Hash Table is a data structure offers fast insertion and searching capabilities. The negative is that they are limited in size because they are based on arrays. They are also hard to order. People get confus
From playlist Java Algorithms
16 1 Bloom Filters The Basics 16 min
From playlist Algorithms 1
Kaggle Live-Coding: Efficiently find overlaps between test & train data | Kaggle
Join Kaggle Data Scientist Rachael as she works on data science projects! Today we'll be implementing the dataset overlap metrics from "Models are Unsupervised Multitask Learners" (Radford et al, unpublished). You can find a copy here: https://d4mucfpksywv.cloudfront.net/better-language-mo
From playlist Kaggle Live Coding | Kaggle
!!Con 2016 - Don’t forget to sketch! Running with large datasets By Adam Marcus
Don’t forget to sketch! Running with large datasets By Adam Marcus Large datasets got you down? Have no fear! Make them small! Sketches are probabilistic data structures: they store a rough outline of a dataset in way less space than the dataset itself takes up. We'll sketch out three ske
From playlist !!Con 2016
Why are bloom filters such useful data structures? How do they work, and what do they do? This video is an introduction to the bloom filter data structure: we'll explore what they are, how they work, and build an understanding for why they're so efficient.
From playlist Spanning Tree Favorites
How to Break Into The Blockchain For Fun And Profit | PyChain 2022
This is a video recording of the PyChain 2022 conference sessions. Speaker: Adam Englander - ZettaFi Labs Using Ethereum JSON-RPC directly with Python Adam: “While the data in the blockchain is public and free to access, getting to that data you need can be a little bit tricky. We coul
From playlist PyChain 2022
16 2 Bloom Filters Heuristic Analysis 13 min
From playlist Algorithms 1
MIT MAS.S62 Cryptocurrency Engineering and Design, Spring 2018 Instructor: Tadge Dryja View the complete course: https://ocw.mit.edu/MAS-S62S18 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61KHzhg3JIJdK08JLSlcLId Future developments including block / committed bloom
From playlist MIT MAS.S62 Cryptocurrency Engineering and Design, Spring 2018
As we build more and more Ajaxy applications, and our apps reside on a single page, the browser’s native back button can get more and more broken. This episode will show you how to re-enable the back button on your apps. Original post the extra information, demos and source: http://jquery
From playlist jQuery for Designers
Special Topics - The Kalman Filter (1 of 55) What is a Kalman Filter?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is Kalman filter and how is it used. Next video in this series can be seen at: https://youtu.be/tk3OJjKTDnQ
From playlist SPECIAL TOPICS 1 - THE KALMAN FILTER
Leetcode Short [Rust | Vim] - Problem 542: 01 Matrix
I'm working my way through the "Grind 75" Leetcode problems, as a sort of warmup to Advent of Code coming in December 2022. Be amazed at my solutions! Poke holes in my logic! Come up with tests that break my code! These videos are all edited down from my twitch streams - come join me for
From playlist Leetcode