What is feature scaling in machine learning? Feature scaling is a preprocessing technique used in machine learning and data analysis…
What is k-fold cross-validation? K-fold cross-validation is a popular technique used to evaluate the performance of machine learning models. It…
History of natural language processing Natural Language Processing (NLP) has a fascinating history that spans several decades. Let's journey through…
Text summarization is so prominent in natural language processing (NLP) that it made our top ten list of NLP techniques…
Artificial intelligence agents, known as self-learning systems, have the capacity to continuously learn new information without the aid of hard…
Unsupervised learning is a type of machine learning where the user doesn't have to watch over the model but rather…
Supervised learning is a machine learning approach that is used for problems where the data is in the form of…
Artificial intelligence, machine learning and data science; what are the differences? How can you think about these differences and use…