Suppose you are a product manager, you want to classify customer reviews in positive and negative classes. Or As a loan manager, you want to identify which loan applicants are safe or risky? As a healthcare analyst, you want to predict which patients can suffer from diabetes disease. All the examples have the same kind…
In real world, not every data we work upon has a target variable. This kind of data cannot be analyzed using supervised learning algorithms. We need the help of unsupervised algorithms. One of the most popular type of analysis under unsupervised learning is Cluster analysis. When the goal is to group similar data points in a…
Deep Learning has revolutionized various industries, leading to the continuous development of new business applications. However, as AI models are growing in complexity, they require significantly more memory and increasingly powerful computing systems to function effectively. Global AI market is projected to reach USD 1.85 trillion by 2030. As AI moves towards edge devices — which often…
