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I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.
Encoders and decoders are used to convert data from one format to another, such as encoding text into binary or decoding encrypted messages.
Encoders convert data from one format to another, such as text to binary.
Decoders reverse the process, converting encoded data back to its original format.
Examples include Base64 encoding for email attachments and encryption algorithms like AES for secure communication.
1D CNNs are used in signal processing, time series analysis, speech recognition, and natural language processing.
Signal processing: analyzing signals such as audio, EEG, ECG
Time series analysis: forecasting stock prices, weather patterns
Speech recognition: converting spoken language to text
Natural language processing: sentiment analysis, text classification
Boosting algorithms work by combining multiple weak learners to create a strong learner.
Boosting algorithms train multiple weak learners sequentially, with each subsequent learner focusing on the mistakes made by the previous ones.
The final prediction is made by combining the predictions of all the weak learners, usually weighted based on their individual performance.
Examples of boosting algorithms include AdaBoost, Gr
1x1 kernels in CNN help in reducing the number of parameters and computational cost while increasing the non-linearity of the network.
1x1 kernels are used to perform dimensionality reduction by combining features from different channels.
They help in increasing the non-linearity of the network by introducing additional non-linearities through activation functions.
1x1 convolutions are computationally efficient compared t...
AUC stands for Area Under the Curve and indicates the performance of a classification model.
AUC is a metric used to evaluate the performance of a classification model.
It measures the ability of the model to distinguish between positive and negative classes.
AUC ranges from 0 to 1, where a higher value indicates better performance.
An AUC of 0.5 suggests the model is no better than random guessing, while an AUC of 1 indic
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I applied via Referral and was interviewed before Mar 2023. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Mar 2021. There were 3 interview rounds.
I applied via LinkedIn and was interviewed in Aug 2023. There were 4 interview rounds.
Take home assignment
I was interviewed in Apr 2024.
I applied via Approached by Company and was interviewed before Aug 2022. There was 1 interview round.
I have a strong understanding of market trends, competition, consumer behavior, and industry dynamics.
I regularly analyze market reports, industry news, and competitor strategies to stay informed.
I have experience conducting market research, identifying target markets, and developing marketing strategies.
I understand the importance of staying updated on market trends and adapting strategies accordingly.
I have successfu...
I applied via Walk-in and was interviewed in Feb 2024. There were 3 interview rounds.
Online assessment around 30-50mins
I applied via LinkedIn and was interviewed before Jul 2023. There was 1 interview round.
Aptitude test questions were there
based on 1 interview
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