Useful tips for everyday
What is the main difference between user based and item based collaborative filtering? Item based collaborative filtering finds similarity patterns between items and recommends them…
Can Weka handle big data? Weka allows you to do big data mining tasks like mining, processing, visualization, regression and so on based on the…
What is a model in AI? In the simplest terms, an AI model is a tool or algorithm, which is based on a certain data…
What is factorization machine used for? The Factorization Machines algorithm is a general-purpose supervised learning algorithm that you can use for both classification and regression…
What does random error term mean? The error term (also named random perturbation) is a theoretical, non observable random term responsible for the differences between…
What is AUC for binary classification? The Receiver Operator Characteristic (ROC) curve is an evaluation metric for binary classification problems. The Area Under the Curve…
What are the steps in building a machine learning model? The 7 Steps of Machine Learning 1 – Data Collection. 2 – Data Preparation. 3…
How to solve a multi label classification problem? In this method, we will try to transform our multi-label problem into single-label problem (s). This method…
What are Embeddings NLP? Word embeddings are a type of word representation that allows words with similar meaning to have a similar representation. That there…
How HashingVectorizer works? With HashingVectorizer, each token directly maps to a column position in a matrix, where its size is pre-defined. For example, if you…