Unveiling the Potential of Histogram of Oriented Gradients (HOG) in Computer Vision
In the ever-evolving realm of artificial intelligence, computer vision is a crucial discipline that enables machines to interpret and glean…
Building a Social Media Sentiment Analyzer: Understanding Emotions in Online Conversations
Photo by Alexander Shatov on Unsplash In today’s digitally interconnected world, where online conversations shape public opinions, understanding the underlying…
Beyond Deepfakes: The Positive Applications of AI-Enhanced Video Synthesis
Pixabay By Geralt In digital media, the term “AI-enhanced video synthesis” has often been overshadowed by its more infamous cousin,…
Advancing Human-AI Interaction: Exploring Visual Question Answering (VQA) Datasets
Photo by Luke Chesser on Unsplash This article provides a comprehensive exploration of Visual Question Answering (VQA) datasets, highlighting current challenges…
The Tokenization Concept in NLP Using Python
Tokenization is one of the main concepts of NLP. By definition, it is the process of breaking down given text…
Hyperparameter Tuning With Bayesian Optimization
What is Bayesian Optimization used for in hyperparameter tuning? Photo by Abbas Tehrani on Unsplash Hyperparameter tuning, the process of…
Different Plots Used in Exploratory Data Analysis (EDA)
The importance of EDA in the machine learning world is well known to its users. Making visualizations is one of…