Tiya VajQuantizationQuantization in the context of AI and machine learning refers to the process of reducing the precision of the numbers used to represent a…6d ago6d ago
Tiya Vaj10questions about logistic regression1. What is logistic regression, and how does it differ from linear regression?Oct 19Oct 19
Tiya VajWhat is Transformers?Transformers is a revolutionary AI architecture introduced in 2017 by Vaswani et al. It transformed (hence the name) the field of Natural…Oct 13Oct 13
Tiya VajWEATHER OBSERVATION Station 5 hackerrankQuery the two cities in STATION with the shortest and longest CITY names, as well as their respective lengths (i.e.: number of characters…Oct 13Oct 13
Tiya VajExploring Low-Parameter Architectures in Machine LearningLow-parameter models can be beneficial for various applications, and there are several strategies and techniques that can lead to a…Oct 13Oct 13
Tiya VajYAMNET for audio classificationPre-trained Model: YAMNet is a deep learning model trained to predict 521 audio event classes.Oct 12Oct 12
Tiya Vaj🌐 Navigating the Challenges of Sparse Data 📉Sparse data is a common hurdle faced by data scientists and machine learning practitioners. But what does it mean, why does it happen, and…Oct 9Oct 9
Tiya Vaj🌟 Dealing with High-Dimensional, Low-Sample Size (HDLSS) Data: Strategies for Success! 📊In the realm of data science and machine learning, encountering **High-Dimensional, Low-Sample Size (HDLSS) data can be a challenging yet…Oct 9Oct 9
Tiya VajWhat is Residual Sum of Squares (RSS)in regression?RSS stands for “Residual Sum of Squares. It’s a common measure used in statistics and regression analysis to assess how well a model fits…Oct 9Oct 9