Machine Learning Fundamentals

Every machine learning algorithm has three components: Representation: how to represent knowledge. Examples include decision trees, sets of rules, instances, graphical models, neural networks, support vector machines, model ensembles and others. Machine Learning is a key to develop intelligent systems and analyze data in science and engineering. It has emerged as one of the most valuable and time investing domains in the current century. This course is designed for all the learners interested in starting their journey with Machine Learning. The course explains all the important concepts in machine learning.