The F1 score formula The F1 score is a metric commonly used to evaluate the performance of binary classification models.…
Classification vs regression are two of the most common types of machine learning problems. Classification involves predicting a categorical outcome,…
Latent Dirichlet Allocation explained Latent Dirichlet Allocation (LDA) is a statistical model used for topic modelling in natural language processing.…
What is GPT-3? GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art language model developed by OpenAI, a leading artificial intelligence…
Endogenous and exogenous variables are two important concepts. In machine learning, endogenous variables are the variables that are directly influenced…
Natural Language Processing (NLP) has become an essential area of research and development in Artificial Intelligence (AI) in recent years.…
What are bias, variance and the bias-variance trade-off? The bias-variance trade-off is a fundamental concept in supervised machine learning that…
What is data quality in machine learning? Data quality is a critical aspect of machine learning (ML). The quality of…
In natural language processing, n-grams are a contiguous sequence of n items from a given sample of text or speech.…
What is transfer learning for large language models (LLMs)? Their Advantages, disadvantages, different models available and applications in various natural…