Author Archives: Vijaysinh Lendave - Page 8
Learning the similarity between objects has a dominant role in human cognitive processes and artificial systems for recognition and classification.
Text summarization, the creation of entirely new pieces of text, and the prediction of the next word like Google's auto-fill, to name a few.
Representation learning is a very important aspect of machine learning which automatically discovers the feature patterns in the data.
Measuring the performance of any machine learning model is very important, not only from the technical point of view but also from the business perspective.
Extrapolation is a sort of estimation of a variable's value beyond the initial observation range based on its relationship with another variable.
Federated learning is a method that stores only learnt models on a server in order to protect data privacy.
Generalization and Regularization are two often terms that have the most significant role when you aim to build a robust machine learning model.
Recommender systems are used in a variety of domains, from e-commerce to social media to offer personalized recommendations to customers
Word2Vec is a technique to get a good quality word embedding from a corpus. CBOW and Skip-gram are the two well known word2vec models.
Building a recommender system from scratch is a tedious task as it involves a lot of preprocessing steps and requires sophisticated coding skills.