Tiya Vaj – Medium

Tiya Vaj

Quantization

Quantization in the context of AI and machine learning refers to the process of reducing the precision of the numbers used to represent a…

Nov 14

Nov 14

10questions about logistic regression

1. What is logistic regression, and how does it differ from linear regression?

Oct 19

10questions about logistic regression

Oct 19

Preparing for data scientist interview

Underfitting and overfitting

Oct 16

Preparing for data scientist interview

Oct 16

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 13

Oct 13

WEATHER OBSERVATION Station 5 hackerrank

Query the two cities in STATION with the shortest and longest CITY names, as well as their respective lengths (i.e.: number of characters…

Oct 13

Oct 13

Exploring Low-Parameter Architectures in Machine Learning

Low-parameter models can be beneficial for various applications, and there are several strategies and techniques that can lead to a…

Oct 13

Oct 13

YAMNET for audio classification

Pre-trained Model: YAMNet is a deep learning model trained to predict 521 audio event classes.

Oct 12

Oct 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 9

Oct 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 9

Oct 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 9

Oct 9

Tiya Vaj

Tiya Vaj

Ph.D. Research Scholar in NLP and my passionate towards data-driven for social good.Let's connect here https://www.linkedin.com/in/tiya-v-076648128/

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