Description
Grokking Graph Analytics and Algorithms, the training course on graph analysis and algorithms is published by Udemy Academy. A graph is a collection of nodes and edges. Nodes represent entities such as people, computers in a network, or molecules in a chemical reaction. Edges represent relationships between them, such as friendships (or enmities), direct connections, or components of a reaction. Graph databases are online systems that allow people to manage graph data. Unlike legacy databases, priority is given to relationships between entities. This means you don’t have to deal with complicated switches and connections to analyze large parts of a system. The charts are growing. Every time you visit Facebook, you receive information about first-, second-, and even third-degree connections to you and your friends. The biggest tech companies use graph data and analytics to understand how users interact with each other and with their site content. This course provides an intuitive approach to understanding, analyzing and manipulating graph data. I have selected only the most important algorithms and built solutions from scratch using real-world examples.
What you will learn
- Graph data structures
- Transform real-world systems into graph data structures
- Develop an intuitive understanding of the basic algorithms for analyzing and understanding graphs
- Build a toolbox of algorithms to use in data analysis tasks
Who is this course suitable for?
- Software engineers developing complex systems
- Data miners are curious about the relationships between entities in their systems.
- Machine learning engineers are looking to improve their predictions.
- Computer science enthusiasts who want to build/enhance their own graph data structure basics.
Grokking Graph Analytics and Algorithms course specifications
- Publisher: Udemy
- teacher : Mohammad Athar
- English language
- Education level: Intermediate
- Number of courses: 28
- Training duration: 3 hours and 12 minutes
Grokking Graph Analytics and Algorithms course chapters
Course prerequisites
- The basics are all developed intuitively, no prior experience necessary
- High school level algebra
- Some sections (one, really) benefit from linear algebra knowledge
- Some familiarity with Python will help you understand the code I write.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
812 MB
Be the first to comment