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General DSA with some ds questions
Top trending discussions
We were trained for 2 weeks on web dev. and data science and were given individual 2 projects, according to the performance on them and a final interview, candidates were selected.
I applied via Referral and was interviewed in Sep 2024. There were 5 interview rounds.
1 python and 1 SQL coding along with ML questions mostly related to monitoring and basic ML
1 python code and also related to ML ...the recruiter came with a dataset to solve
Guestimates, project discussions and Case Studies
Project indepth discussion and case study related Fraud Detection
I applied via LinkedIn and was interviewed in Dec 2023. There was 1 interview round.
My current work involves analyzing transaction data to identify patterns and trends, which can help PayU optimize their payment processing services.
Analyzing transaction data to identify fraudulent activities and improve security measures for PayU
Developing predictive models to forecast transaction volumes and optimize payment processing times
Utilizing machine learning algorithms to personalize user experiences and inc...
I applied via Job Portal and was interviewed before Jul 2023. There were 3 interview rounds.
We were trained for 2 weeks on web dev. and data science and were given individual 2 projects, according to the performance on them and a final interview, candidates were selected.
Deep learning is a subset of machine learning that uses neural networks to learn from data.
Deep learning involves training neural networks with large amounts of data to make predictions or decisions.
It is used in image recognition, natural language processing, and speech recognition.
Deep learning models can automatically learn to extract features from raw data.
It requires a lot of computational power and data to train ...
Reinforcement Learning is an advanced branch of AI that involves training agents to make decisions based on rewards and punishments.
Reinforcement Learning involves an agent interacting with an environment and learning from the rewards and punishments it receives.
It has been used in various applications such as game playing, robotics, and recommendation systems.
Some popular algorithms in Reinforcement Learning include Q...
based on 1 interview
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