ML/AI in Telecom Networks
Understand the key concepts of AI/ML and explore their applications/benefits within telecom networks.
About This Course
ML/AI in Telecom Networks Course covers -
What is Machine Learning, Types of Machine Learning, What is ML Model, Training of ML Model, ML deployment, ML frameworks, Tools in ML, Use cases
Resource for Project can be found at - https://github.com/rahulkaundal333/ML-Project---Open-RAN
1 Modules
15 Lectures
Introduction ML
00:03:00
What is Machine learning (ML)
00:02:32
Types of Machine learning – Supervised learning
00:02:19
Unsupervised and Reinforcement learning
00:02:41
What is Machine learning model
00:02:59
ML Model - Simulation in Google Colab
00:02:58
ML framework
00:02:59
ML data collection
00:02:51
ML Data Preparation
00:02:26
ML project
00:16:41
ML deployment
00:02:45
ML use cases in telecom industry
00:02:37
ML use cases in RAN – Traffic steering
00:02:49
Energy efficiency using ML
00:02:56
Network Slicing using ML
00:02:59