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Ericsson
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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I was interviewed in Oct 2021.
Approach business problem with data science by understanding the problem, collecting relevant data, analyzing data, and presenting insights.
Understand the business problem and define the objective
Collect relevant data from various sources
Clean and preprocess the data
Analyze the data using statistical and machine learning techniques
Present insights and recommendations to stakeholders
Iterate and refine the approach as ne
Explainability in Deep Learning refers to the ability to understand and interpret the decisions made by a deep learning model.
Explainability is important for ensuring transparency and accountability in AI systems.
It can be achieved through techniques such as feature visualization, saliency maps, and attention mechanisms.
Explainability can also help identify biases and errors in the model.
Examples of explainable deep le...
I applied via LinkedIn and was interviewed before May 2023. There were 2 interview rounds.
I applied via Approached by Company and was interviewed before Sep 2023. There was 1 interview round.
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posted on 30 Sep 2023
I applied via Instahyre and was interviewed before Sep 2022. There were 4 interview rounds.
A simple aptitude test was organised but it was not an eliminator, just to check your aptitude
I applied via Naukri.com and was interviewed before Apr 2022. There were 6 interview rounds.
posted on 30 Sep 2023
I applied via Instahyre and was interviewed before Sep 2022. There were 4 interview rounds.
A simple aptitude test was organised but it was not an eliminator, just to check your aptitude
based on 4 interviews
1 Interview rounds
based on 6 reviews
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