Algorithms on strings | String metrics

String kernel

In machine learning and data mining, a string kernel is a kernel function that operates on strings, i.e. finite sequences of symbols that need not be of the same length. String kernels can be intuitively understood as functions measuring the similarity of pairs of strings: the more similar two strings a and b are, the higher the value of a string kernel K(a, b) will be. Using string kernels with kernelized learning algorithms such as support vector machines allow such algorithms to work with strings, without having to translate these to fixed-length, real-valued feature vectors. String kernels are used in domains where sequence data are to be clustered or classified, e.g. in text mining and gene analysis. (Wikipedia).

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stringr: Basic String Manipulation

The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this first lesson of the stringr series, we look at several basic string manipulation functions. stringr Series Code Notebook: https://www.kaggle.com/hamelg

From playlist stringr

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String Theory Overview

In physics, string theory is a theoretical framework in which the point-like particles of particle physics are replaced by one-dimensional objects called strings. String theory describes how these strings propagate through space and interact with each other. On distance scales larger than

From playlist Physics

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stringr: Sorting Strings

The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this lesson, we learn how to sort strings alphabetically using the stringr package. stringr Series Code Notebook: https://www.kaggle.com/hamelg/stringr-tuto

From playlist stringr

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stringr: String Interpolation

The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this lesson, we learn how to use stringr to string interpolation: filling values into a string based on stored variables, calculations, function calls and dat

From playlist stringr

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stringr: Viewing Strings

The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this lesson, we learn how to use stringr to view text data. stringr Series Code Notebook: https://www.kaggle.com/hamelg/stringr-tutorials stringr overview:

From playlist stringr

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Programming Ruby 05 -- String Methods

A basic video covering Ruby strings methods that you'll be using a lot. For more info: http://ruby-doc.org/core-2.1.3/String.html

From playlist Programming: Ruby

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stringr: String Matching

The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this lesson, we learn how to use stringr to do pattern matching: detecting whether certain substrings or string patterns (regular expressions) exist in text.

From playlist stringr

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stringr: Split and Join Strings

The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this lesson, we learn how to split and join strings using stringr functions, which are equivalent to the paste and strsplit functions in base R. stringr Seri

From playlist stringr

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Fun with Strings

Experimenting and seeing what we can do with strings

From playlist Computer Science

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Wolfram Client Library for Python

To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Riccardo Di Virgilio & Dorian Birraux Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deploym

From playlist Wolfram Technology Conference 2018

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Kaggle Live Coding: Is it getting easier or harder to become a kernels expert? | Kaggle

Join Kaggle data scientist Rachael Tatman as she investigates whether it's getting easier or harder to become a kernels expert (or master or grandmaster!). SUBSCRIBE: https://www.youtube.com/c/kaggle?sub_... About Kaggle: Kaggle is the world's largest community of data scientists. Join

From playlist Kaggle Live Coding | Kaggle

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Live CEOing Ep 234: Language Design in Wolfram Language

Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about Language Design in the Wolfram Language.

From playlist Behind the Scenes in Real-Life Software Design

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Introducing the Wolfram Client Library for Java

To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Todd Gayley Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and m

From playlist Wolfram Technology Conference 2018

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Isadore Singer- 1. Index Theory Revisited [1996]

slides for this talk: http://www.math.stonybrook.edu/Videos/SimonsLectures/direct_download.php?file=PDFs/43-Singer.pdf Simons Lecture Series Stony Brook University Department of Mathematics and Institute for Mathematical Sciences October 1-10, 1996 Isadore Singer MIT http://www.math.st

From playlist Number Theory

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SQL Summer Camp: Select, From and Where| Kaggle

Today we'll learn the basic commands used to build all SQL queries: select, from and where. The first 30 minutes will be lecture and and live coding, and the second 30 minutes will be all about answering your questions! Feel free to ask them in the chat or on the Learn forums: https://ww

From playlist SQL Summer Camp

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DEFCON 16: Malware RCE: Debuggers and Decryptor Development

Speakers: Michael Ligh, Security Intelligence Engineer, iDEFENSE Greg Sinclair Rapid Response Engineer, VeriSign iDefense Rapid Response This talk will focus on using a debugger to reverse engineer malware, with an emphasis on building decryption tools for credential recovery and command/

From playlist DEFCON 16

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Lecture 0706 Using an SVM

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From playlist Machine Learning by Professor Andrew Ng

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stringr: Subset and Replace Strings

The stringr library is part of the R tidyverse and provides a range of convenience functions for working with character strings. In this lesson, we learn how to use stringr to do string subsetting and replacement. stringr Series Code Notebook: https://www.kaggle.com/hamelg/stringr-tutori

From playlist stringr

Related pages

Support vector machine | Text mining | Mercer's theorem | Statistical classification | Positive-definite kernel | Inner product space | Approximation | Continuous function | Cluster analysis | String (computer science) | Data mining