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I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
There are 10 multiple-choice questions (MCQs) on Python, 20 MCQs on machine learning (ML), and 10 questions on deep learning (DL).
I applied via Referral and was interviewed in Dec 2024. There were 2 interview rounds.
15 MCQ, 2 coding round
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 Company Website and was interviewed in Dec 2024. There were 2 interview rounds.
Python coding and ML resume based questions
Fractal Analytics interview questions for designations
I applied via Naukri.com and was interviewed in Jun 2024. There were 4 interview rounds.
First round is coding round where two use cases are there. Need to solve them
Get interview-ready with Top Fractal Analytics Interview Questions
I applied via Approached by Company and was interviewed in Mar 2024. There were 3 interview rounds.
System design tradeoffs involve balancing various factors to optimize performance and efficiency.
Consider scalability, reliability, latency, and cost when designing systems
Tradeoffs may involve sacrificing one aspect for the benefit of another
Examples include choosing between consistency and availability in distributed systems
Fractals are used in data science for analyzing complex and self-similar patterns.
Fractals are useful for analyzing data with repeating patterns at different scales.
They are used in image compression, signal processing, and financial market analysis.
Fractal analysis can help in understanding the underlying structure of data and making predictions.
I applied via LinkedIn and was interviewed before Jul 2023. There were 2 interview rounds.
Basic python and ML test.
ML algorithms are tools used to analyze data, make predictions, and learn patterns from data.
ML algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.
Examples of unsupervised learning algorithms include k-means clustering, hierarchical clustering, and principal component an...
Basic quants,lrdi and coding round
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The duration of Fractal Analytics Data Scientist interview process can vary, but typically it takes about 2-4 weeks to complete.
based on 15 interviews
4 Interview rounds
based on 51 reviews
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