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I applied via LinkedIn and was interviewed before Jan 2024. There were 4 interview rounds.
Case Study was related to customer propensity to buy.
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Array-based question
XGBoost is a popular machine learning algorithm known for its speed and performance in handling large datasets.
XGBoost stands for eXtreme Gradient Boosting.
It is an implementation of gradient boosted decision trees designed for speed and performance.
XGBoost is widely used in machine learning competitions and real-world applications.
It can handle missing data, regularization, and parallel processing efficiently.
XGBoost ...
Random forest is an ensemble learning method that builds multiple decision trees and combines their predictions.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree in the forest makes a prediction, and the final prediction is the average or majority vote of all trees.
Random forest is used for classification and regression tasks.
It helps reduce overfitting and ...
Sequence to sequence models are used in natural language processing to convert input sequences into output sequences.
Sequence to sequence models are commonly used in machine translation tasks, where the input is a sentence in one language and the output is the translated sentence in another language.
Transformers are a type of sequence to sequence model that use self-attention mechanisms to weigh the importance of diffe...
I applied via Naukri.com and was interviewed in Aug 2024. There was 1 interview round.
Bias and variance are two types of errors that can occur in a model.
Bias refers to the error introduced by approximating a real-world problem, leading to underfitting.
Variance refers to the error introduced by modeling the noise in the training data, leading to overfitting.
Balancing bias and variance is crucial for creating a model that generalizes well to unseen data.
To reduce model inference latency, optimize model architecture, use efficient algorithms, batch processing, and deploy on high-performance hardware.
Optimize model architecture by reducing complexity and removing unnecessary layers
Use efficient algorithms like XGBoost or LightGBM for faster predictions
Implement batch processing to make predictions in bulk rather than one at a time
Deploy the model on high-performance har
SQL joins are used to combine rows from two or more tables based on a related column between them.
INNER JOIN: Returns rows when there is at least one match in both tables.
LEFT JOIN: Returns all rows from the left table and the matched rows from the right table.
RIGHT JOIN: Returns all rows from the right table and the matched rows from the left table.
FULL JOIN: Returns rows when there is a match in one of the tables.
SEL
I applied via Job Portal
A/B Testing, data structures
3 Leet code mediums in 30 mins.
LC mediums refer to LeetCode mediums, which are medium difficulty coding problems on the LeetCode platform.
LC mediums are coding problems with medium difficulty level on LeetCode platform.
Solving 3 LC mediums in 30 minutes requires good problem-solving skills and efficient coding techniques.
Examples of LC mediums include 'Longest Substring Without Repeating Characters' and 'Container With Most Water'.
I applied via LinkedIn and was interviewed in Oct 2023. There were 3 interview rounds.
SQL coding question. Medium level
Explain my project and then case study regarding launching new apps
I applied via LinkedIn and was interviewed before May 2023. There were 4 interview rounds.
Backpropagation is a method used to train neural networks by adjusting the weights based on the error in the output.
Backpropagation involves calculating the gradient of the loss function with respect to the weights of the network.
The gradient is then used to update the weights in the opposite direction to minimize the error.
This process is repeated iteratively until the network converges to a solution.
Backpropagation i...
1 question on array (sorting related), 1 question on string (hard problem)
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