Data mining and machine learning software

Gremlin (query language)

Gremlin is a graph traversal language and virtual machine developed by Apache TinkerPop of the Apache Software Foundation. Gremlin works for both OLTP-based graph databases as well as OLAP-based graph processors. Gremlin's automata and functional language foundation enable Gremlin to naturally support: imperative and declarative querying; host language agnosticism; user-defined domain specific languages; an extensible compiler/optimizer, single- and multi-machine execution models; hybrid depth- and breadth-first evaluation with Turing Completeness. As an explanatory analogy, Apache TinkerPop and Gremlin are to graph databases what the JDBC and SQL are to relational databases. Likewise, the Gremlin traversal machine is to graph computing as what the Java virtual machine is to general purpose computing. (Wikipedia).

Gremlin (query language)
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MySQL Database with Python Tutorial Part 1 - Intro

Python + MySQL in playlist: http://www.youtube.com/watch?v=lhU2OZCKXhQ&feature=share&list=PLQVvvaa0QuDfhTF3Zfyzc_yD-Mq9iTp4G&index=26 This is an introduction to using MySQL with the Python programming language and the MySQLdb import. MySQL is a popular database language that is used most

From playlist MySQL with Python and MySQLdb

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Elizabeth Ramirez - Graph Database Patterns in Python - PyCon 2015

"Speaker: Elizabeth Ramirez Creating and using models from a graph database can be quite different to the ones used for row/column/document-oriented databases, in the sense that the same query patterns could differ significantly in structure and performance. This session will present how

From playlist Software Development Lectures

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R as a Programming Language

Garrett Grolemund, author of the forthcoming "Data Analysis with R" discusses the benefits of using a programming language like R, instead of traditional data analysis software, for data analysis.

From playlist Programming Podcast

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Introduction to Graph Analytics

According to industry analysts, graph technology will be foundational for 80% of Analytics and ML workloads by 2025. The reason for this explosion in growth is organizations are needing to ask more and more complex questions of their ever-growing data sets. Furthermore, data science profes

From playlist Ace Your Data Science Interview

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Stephen Wolfram's Introduction to the Wolfram Language

Stephen Wolfram introduces the Wolfram Language in this video that shows how the symbolic programming language enables powerful functional programming, querying of large databases, flexible interactivity, easy deployment, and much, much more. To learn more about the Wolfram Language, visi

From playlist Wolfram Language

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Introduction to the Wolfram Language Part 1

This session will enable you to find what you can do with the Wolfram Language, and how to work with the Wolfram Language via the notebook interface. It also gives an introduction to various mathematical concepts within the Wolfram Language as a building block to start programming.

From playlist Introduction to the Wolfram Language

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Modern Databases by Eric Redmond

Choosing a data storage engine is an important decision, but it doesn't have to be painful if you know the landscape. We'll look at several DBMSs (and a few you've never heard of), compare and contrast them based on use-cases, and how to plug each into Ruby. Authoring the book "Seven Datab

From playlist Ruby Midwest 2011

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Ruby Midwest 2011 - Modern Databases

Modern Databases by: Eric Redmond Choosing a data storage engine is an important decision, but it doesn’t have to be painful if you know the landscape. We’ll look at several DBMSs (and a few you’ve never heard of), compare and contrast them based on use-cases, and how to plug each i

From playlist Ruby Midwest 2011

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Black Hat DC 2010: Hacking Oracle 11g 2/5

Clip 2/5 Speaker: David Litchfield For more information go to the BlackHat 2010 DC archive http://bit.ly/aNhakO

From playlist Black Hat DC 2010

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I know Kung Fu! (or neo4j on Rails without jRuby)

"Reality is a graph, embrace it!" Sure graph databases are really cool and have a timestamp dated next week, but do you know when you should actually use one? Sometimes living on the bleeding edge pays off and in this talk, I'll show you how you can simplify your application and model your

From playlist Cascadia Ruby 2012

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Elementary Introduction To Wolfram Language - Machine Learning | Introduction | #datascience

Don’t forget to subscribe! This project series is an elementary introduction to the wolfram language. Developed by Wolfram Research, it is a multi-paradigm programming language. It is the language of the mathematical symbolic computation program Mathematica. It is scalable for programs

From playlist Elementary Introduction To Wolfram Language

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Live CEOing Ep 402: Machine Learning Feature Review for Wolfram Language [12.2]

In this episode of Live CEOing, Stephen Wolfram reviews upcoming functionality for the machine learning features of the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channe

From playlist Behind the Scenes in Real-Life Software Design

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Simplify a rational expression

Learn how to simplify rational expressions. A rational expression is an expression in the form of a fraction where the numerator and/or the denominator are/is an algebraic expression. To simplify a rational expression, we factor completely the numerator and the denominator of the rational

From playlist Simplify Rational Expressions (Binomials) #Rational

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Rails Conf 2013 Data Storage: NoSQL Toasters and a Cloud of Kitchen Sinks

By Casey Rosenthal What is the best data storage option for your application? We have an abundance of conventional wisdom when it comes to building applications on top of a relational database in the Ruby world. Building an application on top of a NoSQL database is a different story. I wi

From playlist Rails Conf 2013

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Elementary Introduction To Wolfram Language - Machine Learning | Session 29 | #datascience

Don’t forget to subscribe! This project series is an elementary introduction to the wolfram language. Developed by Wolfram Research, it is a multi-paradigm programming language. It is the language of the mathematical symbolic computation program Mathematica. It is scalable for programs

From playlist Elementary Introduction To Wolfram Language

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Elementary Introduction To Wolfram Language - Machine Learning | Session 17 | #datascience

Don’t forget to subscribe! This project series is an elementary introduction to the wolfram language. Developed by Wolfram Research, it is a multi-paradigm programming language. It is the language of the mathematical symbolic computation program Mathematica. It is scalable for programs

From playlist Elementary Introduction To Wolfram Language

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Graph Databases Will Change Your Freakin' Life (Best Intro Into Graph Databases)

## WTF is a graph database - Euler and Graph Theory - Math -- it's hard, let's skip it - It's about data -- lots of it - But let's zoom in and look at the basics ## Relational model vs graph model - How do we represent THINGS in DBs - Relational vs Graph - Nodes and Relationships ## Why us

From playlist GraphQL

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PostgreSQL in the Polyglot Enterprise Mitch Pirtle

The modern enterprise has been thrust into a world of constantly changing and evolving technology stacks; and this means an ever-changing roster of languages and platforms that access data (including even the very ways in which we store and access data from these apps). Where does PostgreS

From playlist 2016

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Elementary Introduction To Wolfram Language - Machine Learning | Session 16 | #datascience

Don’t forget to subscribe! This project series is an elementary introduction to the wolfram language. Developed by Wolfram Research, it is a multi-paradigm programming language. It is the language of the mathematical symbolic computation program Mathematica. It is scalable for programs

From playlist Elementary Introduction To Wolfram Language

Related pages

Apache Giraph | InfiniteGraph | Regular expression | SPARQL | Neo4j | Apache Spark | Scala (programming language) | Java virtual machine | Function composition | OrientDB | Amazon Neptune | Online transaction processing | Graph traversal | JanusGraph | Automata theory | DataStax