EP 2. APPROACHES TO MACHINE LEARNING:
EP2. Approaches to Machine Learning: Today Lets get started with the approaches in ML. Machine Learning techniques are required to improve the accuracy of predictive models. There are actually different techniques used on different data and analysis stuff. SUPERVISED LEARNING: Supervised Learning typically starts with a well-addressed data and a certain understanding of how the data is classified. We actually give the well-structured data and apply machine learning algorithm we will get the output. So indirectly, we are telling the machine how the output will be like and what should we get actually from that. We actually tell the machine how to get the predictions for us. The above picture represents the supervised learning. There are 2 types of Supervised Learning: 1>CLASSIFICATION 2>REGRESSION For example when you consider a patient is to verify if he is actually suffering from cancer or not: we actually use the classification technique so the machin