AI in Telecom (Part 2) - Judging Output by Model KPIs (No Coding) скачать в хорошем качестве

AI in Telecom (Part 2) - Judging Output by Model KPIs (No Coding)

For mid-career telecom professionals, this video explains the basic concepts for model in telecom for network engineers. Further more, what the model output means in telecom domain like analyzing the network cells with respect to the thresholds. Here is the list of concepts covered: 1. Types for machine learning models(basic) in AI system such as Regression and Classification 2. Model KPIs such Accuracy, Recall, Precision, F1 Score, MAE and MAPE. 1. rApps giving output same as the engineers have been doing in traditional networks 2. Comparison of the model feature engineering with RF counters and KPI formulae 3. Explained alignment of Model Output to Business Outcome Who is this video for: RF Planning Engineers preparing for O-RAN and autonomous networks RF Optimization Engineers preparing for O-RAN and autonomous networks O&M Teams planning to upskill and lead the teams in modern telecom Anyone who wants to understand how the AI/ML works and what output is expected #rfengineer #rfoptimization #telecom #aiintelecom #ai #machinelearning #5g #automation #rapps