Image Augmentation for Computer Vision Tasks Using PyTorch
Source: https://unsplash.com/photos/-f8ssjFhD1k Data augmentation is the process of transforming training data to introduce randomness. This strategy is common for computer…
Resampling to Properly Handle Imbalanced Datasets in Machine Learning
Photo by Martin Sanchez on Unsplash Often in machine learning, and specifically with classification problems, we encounter imbalanced datasets. This…
RoBERTa: A Modified BERT Model for NLP
Photo by Fatos Bytyqi on Unsplash Introduction Did you know that in the past, computers struggled to understand human languages?…
NLP techniques used for compliance checks
AI-powered applications and solutions have become a major catalyst when it comes to compliance checks, particularly in NLP. The aim…
Image Captioning: Bridging Computer Vision and Natural Language Processing
Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. This technology…
Customer Churn With Continuous Experiment Tracking
Introduction In today’s competitive business environment, retaining customers is essential to a company’s success. Customer churn, or the rate at…
Hyperparameter Tuning for Optimizing ML Performance
Hyperparameter tuning is a key step in order to optimize your machine learning model's performance. Learn what it is and…
