Principal Component Analysis: Cutting Through the NoiseI've been working with high-dimensional data for sometime now, and the question I get asked most often isn't about neural networks or gradient boosting. It's some variation of "my model is slow and I Mar 26, 2026·3 min read
Emotion Detection Using Convolutional and Recurrent Neural NetworksIntroduction Emotion detection from speech and text is an important problem in affective computing with applications in human-computer interaction, sentiment analysis, mental health monitoring, and more. In recent years, deep learning approaches usin...Jul 21, 2024·13 min read
Machine Learning Techniques for Speech Emotion RecognitionIntroduction Speech emotion recognition (SER) is the task of automatically identifying the emotional state of a speaker from their voice. It has important applications in areas like human-computer interaction, call centers, healthcare, and affective ...Jul 18, 2024·8 min read
Processing Sound Files for Emotion RecognitionThis article will explore the key steps involved in processing sound files for emotion recognition, including reading audio data, extracting relevantJul 16, 2024·5 min read
Statistical ModelingThere are two main approaches to analyzing data in statistics: the Data Modeling Culture and the Algorithmic Modeling Culture. Both aim to achieve two primary goals: Prediction: Forecasting responses to future input variables Information: Extractin...Jul 15, 2024·2 min read
Different Types of Benchmarks for LLMEvaluating the capabilities of large language models (LLMs) involves using a variety of benchmarks that test different aspects of their knowledge, ...Jul 14, 2024·3 min read
What is Serverless Computing?Function-as-a-Service (FaaS) is a serverless way to execute modular pieces of code on the edge, itJul 13, 2024·9 min read