Reading Time: 3 minutes Machine Learning has gained popularity in the last couple of years and has witnessed an exponential rise in its usage. It gives a computer/machine to act without being explicitly programmed. Unsupervised learning is a technique to model the underlying structure or distribution in the data. It enables us to learn more about the data without providing any pre-assigned labels or scores for the training data. Continue Reading
Reading Time: 6 minutes Machine Learning and it’s Algorithms Hi folks! Are you intrigued about Machine Learning and its Algorithms? If yes, Welcome. You have come to the right place. In this blog you will learn about machine learning and it’s algorithms. By the end of the blog, you will have the basic understanding of this field Machine Learning The term is self-explanatory enough that there is going to Continue Reading
Reading Time: 3 minutes In this blog post, we will look at an interesting feature extraction technique of Machine Learning known as Principal Component Analysis (PCA). PCA is one of the powerful techniques in dimensionality reduction, in fact, the de facto standard for human face recognition. Let’s first understand what is dimensionality reduction Dimensionality Reduction As an example let’s say we have a data set with many-many features(which is Continue Reading
