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IF-IDF stands for Inverse Document Frequency - Term Frequency. It is used in information retrieval to measure the importance of a term in a document.
IF-IDF is a numerical statistic that reflects how important a word is to a document in a collection or corpus.
It is calculated by multiplying the term frequency (TF) by the inverse document frequency (IDF) of the term.
IF-IDF helps in identifying the most relevant words in ...
Machine learning model is a type of artificial intelligence that allows computers to learn from data and make predictions or decisions.
Machine learning models are trained on large datasets to identify patterns and relationships.
There are different types of machine learning models such as supervised, unsupervised, and reinforcement learning.
Supervised learning models are trained on labeled data to make predictions on ne...
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My friends think of me as reliable, supportive, and always up for a good time.
Reliable - always there when they need help or support
Supportive - willing to listen and offer advice
Fun-loving - enjoys socializing and trying new things
General aptitude basics
Mcq and basic ml model building
I applied via Approached by Company
Transformers are a type of neural network architecture that utilizes self-attention mechanisms to process sequential data.
Transformers use self-attention mechanisms to weigh the importance of different input elements, allowing for parallel processing of sequences.
Unlike RNNs and LSTMs, Transformers do not rely on sequential processing, making them more efficient for long-range dependencies.
Transformers have been shown ...
Different types of Attention include self-attention, global attention, and local attention.
Self-attention focuses on relationships within the input sequence itself.
Global attention considers the entire input sequence when making predictions.
Local attention only attends to a subset of the input sequence at a time.
Examples include Transformer's self-attention mechanism, Bahdanau attention, and Luong attention.
GPT is a generative model while BERT is a transformer model for natural language processing.
GPT is a generative model that predicts the next word in a sentence based on previous words.
BERT is a transformer model that considers the context of a word by looking at the entire sentence.
GPT is unidirectional, while BERT is bidirectional.
GPT is better for text generation tasks, while BERT is better for understanding the cont
Data scientists analyze data to gain insights, machine learning (ML) involves algorithms that improve automatically through experience, and artificial intelligence (AI) refers to machines mimicking human cognitive functions.
Data scientists analyze large amounts of data to uncover patterns and insights.
Machine learning involves developing algorithms that improve automatically through experience.
Artificial intelligence r...
I applied via Naukri.com and was interviewed in Apr 2022. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Sep 2021. There were 4 interview rounds.
I applied via Referral and was interviewed in May 2021. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Oct 2022. There were 3 interview rounds.
Easy to solve if you have basic mathematics understanding.
They will test your presence of mind and thinking.
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