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I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.
Transformers are a type of deep learning model that uses self-attention mechanisms to process sequential data.
Transformers are neural network architectures designed to handle sequential data efficiently.
They use self-attention mechanisms to weigh the importance of different input elements when making predictions.
Examples of transformer models include BERT, GPT-3, and Transformer-XL.
Identifying a target involves defining the specific outcome or variable of interest in the given use case.
Understand the objectives and goals of the project to determine the target variable
Analyze the available data to identify patterns and relationships that can help define the target
Consider the business context and stakeholders' requirements to determine the target variable
Use statistical techniques and machine lear...
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PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.
PCA is used to reduce the number of variables in a dataset while retaining the most important information.
Decision trees are used to classify data based on a set of rules and conditions.
Computer vision involves usin...
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
Python 45 mins, OOPS Concepts, SQL
I applied via Referral and was interviewed before Oct 2023. There were 3 interview rounds.
P value is a statistical measure that helps determine the significance of results in hypothesis testing.
P value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.
A small p value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.
Conversely, a large p value (> 0.05) suggests weak evidence against the null hypot...
T test is used to determine if there is a significant difference between the means of two groups.
Use t test when comparing means of two groups to determine if there is a significant difference.
Commonly used in hypothesis testing to assess if there is a statistically significant difference between groups.
Example: Comparing the average test scores of students who received tutoring versus those who did not.
Example: Testin...
How will you do customer segmentation
I have worked with tools such as Python, R, SQL, Tableau, and Excel for data analysis and visualization.
Python
R
SQL
Tableau
Excel
I chose Cisco for its reputation as a leader in networking technology and its commitment to innovation.
Cisco is a global leader in networking technology
Cisco has a strong reputation for innovation and cutting-edge solutions
I admire Cisco's commitment to diversity and inclusion in the workplace
2 coding questions - one on binary tree and list operations.
Xgboost is a popular machine learning algorithm known for its speed and performance in handling large datasets.
Xgboost stands for eXtreme Gradient Boosting, which is an implementation of gradient boosted decision trees.
It is widely used in Kaggle competitions and other machine learning tasks due to its efficiency and accuracy.
Xgboost is known for its ability to handle missing data, regularization techniques, and parall...
posted on 31 Mar 2024
I was interviewed in Oct 2023.
Based on topological sort
posted on 13 Jun 2024
I applied via Company Website and was interviewed in May 2024. There was 1 interview round.
I applied via LinkedIn and was interviewed before Mar 2023. There were 2 interview rounds.
I applied via Company Website and was interviewed before Apr 2021. There were 3 interview rounds.
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