Data mining and machine learning software
Turi is a graph-based, high performance, distributed computation framework written in C++. The GraphLab project was started by Prof. Carlos Guestrin of Carnegie Mellon University in 2009. It is an open source project using an Apache License. While GraphLab was originally developed for Machine Learning tasks, it has found great success at a broad range of other data-mining tasks; out-performing other abstractions by orders of magnitude. (Wikipedia).
NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Graphlab 2...
Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Graphlab 2: The Challenges of Large Scale Computation on Natural Graphs by Carlos Guestrin Carlos Guestrin is an Assistant Professor at Carnegie Mellon's Computer Science and Machine
From playlist NIPS 2011 Big Learning: Algorithms, System & Tools Workshop
Dato GraphLab - Ep. 15 (Deep Learning SIMPLIFIED)
Dato GraphLab is a good software platform for Deep Learning projects that require graph analytics and other important algorithms. It provides two deep nets, sophisticated data munging, an intuitive UI, and built-in enhancements for handling big data. Deep Learning TV on Facebook: https://
From playlist Deep Learning SIMPLIFIED
NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Graphlab 2 Tutorial
Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Tutorial: GraphLab 2.0 by Yucheng Low Yucheng Low is a third year Phd student in the Machine Learning Department at Carnegie Mellon University advised by Carlos Guestrin. His current work is on ab
From playlist NIPS 2011 Big Learning: Algorithms, System & Tools Workshop
What is a Graph? | Graph Theory
What is a graph? A graph theory graph, in particular, is the subject of discussion today. In graph theory, a graph is an ordered pair consisting of a vertex set, then an edge set. Graphs are often represented as diagrams, with dots representing vertices, and lines representing edges. Each
From playlist Graph Theory
Graph Theory: 02. Definition of a Graph
In this video we formally define what a graph is in Graph Theory and explain the concept with an example. In this introductory video, no previous knowledge of Graph Theory will be assumed. --An introduction to Graph Theory by Dr. Sarada Herke. This video is a remake of the "02. Definitio
From playlist Graph Theory part-1
What is a Deep Net Platform? - Ep. 13 (Deep Learning SIMPLIFIED)
A deep learning platform enables a user to apply deep nets without building one from scratch. They come in two different forms: software platforms and full platforms. Deep Learning TV on Facebook: https://www.facebook.com/DeepLearningTV/ Twitter: https://twitter.com/deeplearningtv A pla
From playlist Deep Learning SIMPLIFIED
Finding the axis of symmetry for a parabola and graph
👉 Learn the basics to understanding graphing quadratics. A quadratic equation is an equation whose highest exponent in the variable(s) is 2. To graph a quadratic equation, we make use of a table of values and the fact that the graph of a quadratic is a parabola which has an axis of symmetr
From playlist Graph a Quadratic in Standard Form | Essentials
Lecture quadratic functions and it's solutions
👉 Learn the basics to understanding graphing quadratics. A quadratic equation is an equation whose highest exponent in the variable(s) is 2. To graph a quadratic equation, we make use of a table of values and the fact that the graph of a quadratic is a parabola which has an axis of symmetr
From playlist Graph a Quadratic in Standard Form | Essentials
What are Connected Graphs? | Graph Theory
What is a connected graph in graph theory? That is the subject of today's math lesson! A connected graph is a graph in which every pair of vertices is connected, which means there exists a path in the graph with those vertices as endpoints. We can think of it this way: if, by traveling acr
From playlist Graph Theory
Summary for graphing a quadratic in vertex form
👉 Learn the basics to understanding graphing quadratics. A quadratic equation is an equation whose highest exponent in the variable(s) is 2. To graph a quadratic equation, we make use of a table of values and the fact that the graph of a quadratic is a parabola which has an axis of symmetr
From playlist Graph a Quadratic in Standard Form | Essentials
How to graph a quadratic in vertex form
👉 Learn the basics to understanding graphing quadratics. A quadratic equation is an equation whose highest exponent in the variable(s) is 2. To graph a quadratic equation, we make use of a table of values and the fact that the graph of a quadratic is a parabola which has an axis of symmetr
From playlist Graph a Quadratic in Standard Form | Essentials
What do I need to know to graph a quadratic in vertex form
👉 Learn the basics to understanding graphing quadratics. A quadratic equation is an equation whose highest exponent in the variable(s) is 2. To graph a quadratic equation, we make use of a table of values and the fact that the graph of a quadratic is a parabola which has an axis of symmetr
From playlist Graph a Quadratic in Standard Form | Essentials
Graph Theory FAQs: 01. More General Graph Definition
In video 02: Definition of a Graph, we defined a (simple) graph as a set of vertices together with a set of edges where the edges are 2-subsets of the vertex set. Notice that this definition does not allow for multiple edges or loops. In general on this channel, we have been discussing o
From playlist Graph Theory FAQs
What is a reflection for a quadratic graph
👉 Learn the basics to understanding graphing quadratics. A quadratic equation is an equation whose highest exponent in the variable(s) is 2. To graph a quadratic equation, we make use of a table of values and the fact that the graph of a quadratic is a parabola which has an axis of symmetr
From playlist Graph a Quadratic in Standard Form | Essentials
NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Machine Learning...
Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Machine Learning and Hadoop by Josh Wills Abstract: We'll review common use cases for machine learning and advanced analytics found in our customer base at Cloudera and ways in whi
From playlist NIPS 2011 Big Learning: Algorithms, System & Tools Workshop