How to Learn ML?
How to learn Machine Learning? ML concept varies but for starters, I will add some links which are really helpful to understand the concepts of ML. On a higher level Machine Learning could be done based on different algorithms as follows Supervised UnSupervised Reinforcement Key points to understand In supervised learning we teach an algorithm based on known correct answers and then classify new data based on the known answers. It has very discreet classification between positive and negative outputs Decision trees is basic classification algorithm used for supervised learning https://medium.com/machine-learning-101/chapter-3-decision-trees-theory-e7398adac567 . A decision tree classifier divides a given sample space into smaller sub sections of distinct data When data is unlabelled supervised learning is not possible Unsupervised learning takes place which is first step towards classification of unlabelled data K-Mean algorithm, clustering are one of t...