Tiya Vaj – Medium

Tiya Vaj

word2vec VS Glove

Word2Vec and GloVe are both prominent techniques for generating word embeddings — vector representations of words that capture semantic…

Jan 7

Jan 7

What is static embedding?

Static embeddings are pre-trained, fixed representations of words or tokens in a continuous vector space. Each word is assigned a specific…

Jan 7

Jan 7

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, 2024

Nov 14, 2024

10questions about logistic regression

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

Oct 19, 2024

10questions about logistic regression

Oct 19, 2024

Preparing for data scientist interview

Underfitting and overfitting

Oct 16, 2024

Preparing for data scientist interview

Oct 16, 2024

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, 2024

Oct 13, 2024

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, 2024

Oct 13, 2024

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, 2024

Oct 13, 2024

YAMNET for audio classification

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

Oct 12, 2024

Oct 12, 2024

🌐 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, 2024

Oct 9, 2024

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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