- Home
- Course
- Machine Learning
- Machine Learning
-
Machine Learning Introduction
-
Machine Learning Algorithms
-
Supervised Learning
-
Linear Regression and Logistic Regression
-
K-Nearest Neighbour (KNN)
-
Decision Tree
-
Naïve Bayes Classifier
-
Unsupervised Learning
-
Advanced Machine Learning Concepts
-
Random Forest – Ensemble
-
Support Vector Machine (SVM)
-
Natural Language Processing (NLP)
-
Artificial Neural Network (ANN)
-
Tensorflow overview and Deep Learning Intro
Describe the components of network security design
- Threat defense
- Endpoint security
- Next-generation firewall
- TrustSec, MACsec
- Network access control with 802.1X, MAB, and WebAuth