Brief Introduction
Go from Zero to Hero in Graph AlgorithmsDescription
Algorithms play a vital role in any software application development. Among all the various algorithms that we work with, graph algorithms are widely used in many real life scenarios like, web crawler used by several search engines such as Google search engine. Even GPS navigational apps uses graph algorithms to determine the best feasible direction between various locations. We can observe the vast applications of graph algorithms in robotics and Artificial Intelligence (AI). With such a vast significance of graph algorithms, it is very beneficial to develop deep learning about various graph algorithms.
This course is designed to understand the graph algorithms really well. You will be able to learn;
1) Overview of fundamental graph algorithms.
2) Implement the algorithms in your program.
3) Analyse relative speed of each algorithm and decide which is best, based on given scenarios.
4) Develop deep learning through code challenges etc.
I am quite confident that by the time you finish this course, you will be very comfortable working with various graph algorithms. Excited to welcome you to this learning path. Enroll now and I will see you in the next lecture.
Cheers!
Requirements
- Requirements
- Basic knowledge of Java & fundamental data structures.
- Setup of Java or any programming environment IDE (like eclipse, IntelliJ).
The Complete Guide to TensorFlow 1.x
- 4
-
![]()
![]()
![]()
![]()
![]()
Become an expert in machine learning and deep learning with the new TensorFlow 1. x If yes, then this course is for you!...
Scalable programming with Scala and Spark
- 4.4
-
![]()
![]()
![]()
![]()
![]()
Use Scala and Spark for data analysis, machine learning and analytics Taught by a 4 person team including 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts....
Apache Flink | A Real Time & Hands-On course on Flink
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Complete, In-depth & HANDS-ON practical course on a technology better than Spark for Stream processing i. e. Apache Flink Apache Flink is the successor to Hadoop and Spark....
Algorithms, Part I
- 4.9
-
![]()
![]()
![]()
![]()
![]()
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations....
