What is Natural Language Search? Natural language search refers to the capability of search engines and other information retrieval systems…
What is Bagging, Boosting and Stacking? Bagging, boosting and stacking represent three distinct ensemble learning techniques used to enhance the…
Why Do We Need Performance Metrics In Machine Learning? In machine learning, the ultimate goal is to develop models that…
Understanding Stochastic Gradient Descent (SGD) In Machine Learning Stochastic Gradient Descent (SGD) is a pivotal optimization algorithm widely utilized in…
What is a Multilayer perceptron (MLP)? In artificial intelligence and machine learning, the Multilayer Perceptron (MLP) stands as one of…
What is a Bayesian Network? Bayesian network, also known as belief networks or Bayes nets, are probabilistic graphical models representing…
What is Speech Recognition? Speech recognition, also known as automatic speech recognition (ASR) or voice recognition, is a technology that…
What is Node2Vec? Node2Vec is a popular algorithm for learning continuous representations (embeddings) of nodes in a graph. It is…
What is Explainable AI? In today's data-driven world, artificial intelligence (AI) has revolutionised various aspects of our lives, from healthcare…
What is a Universal Sentence Encoder? The Universal Sentence Encoder (USE) is a powerful tool in natural language processing (NLP)…