Udemy – Grokking Graph Analytics and Algorithms 2021-11

Udemy – Grokking Graph Analytics and Algorithms 2021-11 Downloadly IRSpace

Udemy – Grokking Graph Analytics and Algorithms 2021-11
Udemy – Grokking Graph Analytics and Algorithms 2021-11

Grokking Graph Analytics and Algorithms, A Graph is a collection of Nodes and Edges. The nodes represent entities, such as people, computers in a network, or molecules in a chemical reaction. The edges represent the relationships between them such as friendships (or frenemies), direct connections, or constituents in a reaction. Graph databases are online systems that let people manage graph data. Unlike older databases, priority is given to relationships between entities. This means you don’t have to mess around with complicated keys and joins to analyze large portions of a system. Graphs are growing in prevalence. Every time you visit Facebook, you’re getting information on first, second, and even third-degree connections to you and your friends. The biggest tech companies around leverage graph data and analytics to understand how users relate to each other, and with the content on their site. This course will provide an intuition-first approach to understanding, analyzing, and manipulating graph data. I’ve picked out only the most important algorithms, and build solutions from the ground up using real world examples

What you’ll learn

  • Grok graph data structures
  • Convert real world systems in to graph data structures
  • Develop an intuitive understanding of fundamental algorithms for analyzing and understanding graphs
  • Build a toolbox of algorithms to use in data analytics tasks

Who this course is for

  • Software engineers developing complex systems.
  • Data wranglers curious about the relationships between entities in their systems.
  • Machine learning engineers looking to level up their predictions.
  • Computer science enthusiasts wanting to build/reinforce their graph data structure fundamentals.

Specificatoin of Grokking Graph Analytics and Algorithms

  • Publisher : Udemy
  • Teacher : mohammad athar
  • Language : English
  • Level : Intermediate
  • Number of Course : 28
  • Duration : 3 hours and 12 minutes

Content of Grokking Graph Analytics and Algorithms

Grokking Graph Analytics and Algorithms

Requirements

  • 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

Grokking Graph Analytics and Algorithms

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Download – 812 MB

File size

812 MB