10questions about logistic regression1. What is logistic regression, and how does it differ from linear regression?Oct 19Oct 19
What 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
WEATHER 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
Exploring 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
YAMNET for audio classificationPre-trained Model: YAMNet is a deep learning model trained to predict 521 audio event classes.Oct 12Oct 12
🌐 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
🌟 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
What 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
BERT VS T5BERT (Bidirectional Encoder Representations from Transformers) and T5 (Text-to-Text Transfer Transformer) are both highly influential…Oct 8Oct 8