Too Long; Didn't Read
The plethora of knowledge involved in Machine Learning is the most fabulous thing about the subject. CNNs capture deep learning, embeddings capture NLP & SVMs capture supervised ML algorithm, but broadly, all these fit the supervised learning approach. There are various types of unsupervised learning algorithms, ranging from clustering to auto-encoders in deep learning. In this five series tutorial, we saw various approaches to different scenarios, including support Vector Machines. The theoretical and coding balance requires a steady and disciplined approach.