The Artificial Intelligence Course provided by Netlabs ITS is designed to evolve the insight of the candidates on Data Science. In this curriculum of Artificial Intelligence - Learn How To Build An AI, candidates will learn how to optimize the AI to utilize it in its paramount potential in the real world along with the live scenarios. Our meticulously designed training modules would make the candidates understand the theory relevant to Artificial Intelligence and help them to understand how to resolve pragmatic problems with AI. The training is going to open lots of gates of job opportunities to the candidates.
Understand linear approximation and modelling of problems and develop linear models
Use ideas from linear algebra to transform dimensions and warp space providing additional flexibility and functionality to linear models.
Develop and implement kernel based methods to develop nonlinear models to solve few complex tasks.
Nearest Neighbours, K-means, and Gaussian Mixture Models:
Review pattern recognition ideas with distance and cluster based models to understand similarity measures and grouping criteria.
Naive Bayes and Decision Trees:
Dive into applications of bayes theorem and the use of decision criteria when learning from data.
Look at search from the perspective of graphs, trees and heuristic based optimizations.
Logic and Planning:
Discover ways to encode logic and develop agents that plan actions in an environment.
Reinforcement Learning and Hidden Markov Models:
Engineering agents that learn from a sequence of actions using rewards and penalties.
Q-Learning and Policy gradient:
Operate in a stateful world over value and policy approximations tasks