L1 and L2 regularization are techniques commonly used in machine learning and statistical modelling to prevent overfitting and improve the…
What is hyperparameter tuning in machine learning? Hyperparameter tuning is critical to machine learning and deep learning model development. Machine…
What is CountVectorizer in NLP? CountVectorizer is a text preprocessing technique commonly used in natural language processing (NLP) tasks for…
The F1 score formula The F1 score is a metric commonly used to evaluate the performance of binary classification models.…
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…
What are bias, variance and the bias-variance trade-off? The bias-variance trade-off is a fundamental concept in supervised machine learning that…
In natural language processing, n-grams are a contiguous sequence of n items from a given sample of text or speech.…
Natural Language Processing (NLP) feature engineering involves transforming raw textual data into numerical features that can be input into machine…
Top 7 ways of implementing data augmentation for both images and text. With the top 3 libraries in Python to…