Zero-touch network is conceived as a next-generation management and operation system that leverages the principles of NFV and SDN in order to fully automated management and operation.
Wireless Communication, 5G- Network Slicing, Cloudification, SDN, NFV, Linux, Python, Automation, Cognitive, Intelligent, Explore-exploit dilemma, Epsilon-greedy, Optimistic Initial Values, Upper Confidence Bound Algorithm (UCB), Bayesian machine Learning (A/B Testing), Nonstationary Environments, Markov Decision Process (MDP), Dynamic Programming (DP), Monte Carlo (MC), Temporal Difference Learning (TD), Neural Networks, Function Approximations, agent, environment, states, actions, rewards, continuous state space vs episodes, terminal state, Value Function, Logistic Regression, Linear Regression, Gradient Descent, Cross-entropy, statistics calculations : PDF, CDF, Statistical testing, signal processing: Convolution, Fourier transform, linear algebra, Probability distribution: Gaussian distribution 1-D or multiple dimensions, Linear algebra, bias-variance tradeoff, Bootstrap, Bagging (bootstrap to ML), Random Forest, AdaBoost, Probability density Function (PBF), Decision Tree, Support Vector Machine (SVM), Naive Bayes, k- Nearest Neighbors (kNN), K-Means, Random Forest, Dimensionality Reduction Algorithms