Unsupervised learning
LDA/ Linear Discriminant Analysis is a very common technique used in supervised learning’s classification problems similar to PCA/ Principal Component Analysis which is used in Unsupervised Learning problems. LDA similar to PCA is a dimensionality reduction technique used as a pre-processing step in machine learning and pattern classification applications. Dimensionality reduction techniques can be used […]
#CellStratAILab #disrupt4.0 #WeCreateAISuperstars We had fantastic presentations on advanced Deep Learning concepts at the last Saturday AI Lab. Reinforcement Learning (RL) with Dynamic Programming : First Shubha M. started with a superb session on RL with Dynamic Programming. Dynamic Programming is a concept of breaking a problem into subproblems, solving them and then combining the […]
Unsupervised Learning means that we do not have labelled data. In other words, input data samples do not have labeled output. We have input features x1, x2, x3… etc. for the available data samples, but not output y. With this kind of data, supervised learning algorithms like regression, decision trees etc. are not an option. […]