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I applied via Company Website and was interviewed in Aug 2024. There were 3 interview rounds.
I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.
1 dsa question 1 sql and 18 mcq questions
Questions related to programming... Sort an array how we can optimized it.
I applied via Approached by Company and was interviewed in Apr 2024. There were 2 interview rounds.
Java performance management techniques involve optimizing code, memory usage, and resource allocation.
Use efficient data structures and algorithms to improve performance.
Optimize code by reducing unnecessary loops, avoiding excessive object creation, and minimizing memory usage.
Utilize profiling tools like JVisualVM or YourKit to identify performance bottlenecks.
Implement caching mechanisms to reduce redundant computat...
United Airlines interview questions for popular designations
Get interview-ready with Top United Airlines Interview Questions
I applied via Company Website and was interviewed in Jun 2024. There was 1 interview round.
LLM can use neural networks for tasks such as natural language processing, image recognition, and predictive analytics.
Neural networks can be used in LLM for natural language processing tasks such as sentiment analysis, text generation, and language translation.
LLM can utilize neural networks for image recognition tasks like object detection, facial recognition, and image classification.
Neural networks can also be appl...
Back propagation is a method used to train neural networks by adjusting the weights based on the error calculated during the forward pass.
Back propagation involves calculating the error between the predicted output and the actual output.
The error is then propagated backwards through the network to adjust the weights using gradient descent.
This process is repeated iteratively until the network's performance improves.
Exa...
Python, sql were asked, 1st round was resume based round
I applied via Approached by Company and was interviewed in Jan 2024. There were 3 interview rounds.
1 hour with questions on medium level .net core , web api's and react as frontend.
I applied via Referral and was interviewed in May 2024. There was 1 interview round.
Regularisation in random forest helps prevent overfitting by controlling the complexity of the model.
Regularisation in random forest is achieved by limiting the depth of the trees in the forest.
It helps prevent overfitting by reducing the complexity of the model and improving generalization.
Regularisation parameters like max_depth, min_samples_split, and min_samples_leaf can be tuned to control the complexity of the mo
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