Machine Learning (ML) Guide to "An embarrassingly simple approach to Zero-Shot Learning" In this article, we have discussed about "An embarrassingly simple approach to Zero-Shot learning" and dived into details how to apply this approach that in a single line of code outperforms the state-of-art models.
Machine Learning (ML) Zero shot learning: Approach that can change Machine Learning In zero-shot learning, the machine is capable of describing what class an unlabeled sample belongs to when it does not fall into the category of any of the trained categories.
Machine Learning (ML) Text classification using CNN In this article, we are going to do text classification on IMDB data-set using Convolutional Neural Networks(CNN). We will go through the basics of Convolutional Neural Networks and how it can be used with text for classification.
Machine Learning (ML) Text classification using K Nearest Neighbors (KNN) In this article, we will demonstrate how we can use K-Nearest Neighbors (KNN) algorithm for classifying input text into different categories. We used 20 news groups for a demo.
Machine Learning (ML) Text classification using Naive Bayes classifier In this article, we have explored how we can classify text into different categories using Naive Bayes classifier. We have used the News20 dataset and developed the demo in Python.
Software Engineering gets() vs fgets() in C and C++ gets() and fgets() are functions in C language to take input of string with spaces in between characters. gets suffer from buffer overflow which is solved by fgets
