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Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.
Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.
Adam optimizer uses adaptive learning rates for each parameter.
Gradient Descent optimizer has a fixed learning rate for all parameters.
Adam optimizer includes momentum to speed up convergence.
Gradient Descent optimizer updates parameters b...
Use ReLU for hidden layers in deep neural networks, avoid for output layers.
ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.
Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.
Consider using Leaky ReLU or Sigmoid for output layers depending on the task.
ReLU is computationally efficient and helps in preventing the vanishing gradient prob...
I applied via Company Website and was interviewed in Dec 2023. There were 3 interview rounds.
Standard question from sql and python in hackerrank
Reverse a linked list by changing the direction of pointers
Start with three pointers: current, previous, and next
Iterate through the linked list, updating pointers to reverse the direction
Return the new head of the reversed linked list
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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.
I applied via LinkedIn and was interviewed before Apr 2023. There was 1 interview round.
fbprophet is a forecasting model developed by Facebook that uses time series data to make predictions.
fbprophet is an open-source forecasting tool developed by Facebook's Core Data Science team.
It is based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.
fbprophet can be used to forecast traffic by providing historical data on traffic patterns and usi...
I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.
Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.
One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.
Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.
Evaluate the model using appropriate...
I applied via Company Website and was interviewed in Jul 2024. There were 5 interview rounds.
I applied via Recruitment Consulltant and was interviewed before Sep 2023. There were 3 interview rounds.
K-Means is a clustering algorithm that partitions data into K clusters based on similarity.
Divides data points into K clusters based on distance from centroid
Iteratively updates centroids to minimize within-cluster variance
Requires specifying number of clusters K beforehand
Example: Grouping customers based on purchasing behavior
Selecting the appropriate learning algorithm involves considering the problem's characteristics and requirements.
Understand the problem's nature, such as classification, regression, clustering, etc.
Consider the size of the dataset and the computational resources available.
Evaluate the complexity of the relationships within the data.
Experiment with different algorithms and compare their performance using metrics like ac...
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
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