i
BUSINESSNEXT
Filter interviews by
Clear (1)
I applied via Naukri.com and was interviewed before Oct 2023. There were 3 interview rounds.
Machine Learning is a subset of Artificial Intelligence that uses algorithms to learn from data and make predictions.
AI (Artificial Intelligence) is the broader concept of machines being able to carry out tasks in a way that we would consider 'smart'.
ML (Machine Learning) is a subset of AI that focuses on the development of computer programs that can access data and use it to learn for themselves.
DL (Deep Learning) is ...
Evaluation metrics are used to assess the performance of classification models.
Common evaluation metrics include accuracy, precision, recall, F1 score, and ROC-AUC.
Accuracy measures the overall correctness of the model's predictions.
Precision measures the proportion of true positive predictions out of all positive predictions.
Recall measures the proportion of true positive predictions out of all actual positives.
F1 sco...
Window functions in SQL allow you to perform calculations across a set of table rows related to the current row.
Window functions are used to perform calculations on a set of rows related to the current row.
They do not reduce the number of rows returned by the query.
Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().
Indexes are used to improve the performance of SQL queries by allowing faster data retrieval. Procedures are reusable SQL code blocks.
Indexes are used to quickly locate data without having to scan the entire table.
Procedures are stored SQL code blocks that can be executed multiple times.
Indexes can be created on columns to speed up search queries.
Procedures can accept input parameters and return results.
I applied via Naukri.com and was interviewed before Mar 2022. There were 3 interview rounds.
Precision and Recall are evaluation metrics for classification models. Feature selection is important for model performance. P-value is a statistical measure.
Precision is the ratio of true positives to the total predicted positives. Recall is the ratio of true positives to the total actual positives.
Precision is important when false positives are costly, while recall is important when false negatives are costly.
Feature...
I applied via Approached by Company and was interviewed before Sep 2021. There were 4 interview rounds.
Top trending discussions
Code for parsing a triangle
Use a loop to iterate through each line of the triangle
Split each line into an array of numbers
Store the parsed numbers in a 2D array or a list of lists
The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.
ASCII values range from 65 to 90 for capital letters A to Z.
ASCII values range from 97 to 122 for small letters a to z.
For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.
I applied via Naukri.com and was interviewed in Aug 2023. There were 2 interview rounds.
Confusion matrix is a table used to evaluate the performance of a classification model. P value is a measure of the strength of evidence against the null hypothesis. K-means is a clustering algorithm while decision tree is a classification algorithm.
Confusion matrix is a 2x2 table that shows the true positive, true negative, false positive, and false negative values of a classification model.
P value is the probability ...
NLP stands for Natural Language Processing, while CNN refers to Convolutional Neural Networks.
NLP is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.
CNN is a type of deep learning algorithm commonly used for image recognition and classification tasks.
CNNs are also used in NLP for tasks like text classification and sentiment analysis.
Random forest uses feature importance to select the most relevant features for prediction.
Random forest calculates feature importance based on how much each feature decreases impurity in the model
Features with higher importance are considered more relevant for prediction
Random forest can automatically handle feature selection by using only the most important features
Example: In a random forest model predicting customer...
I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.
Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.
Context window helps LLMs capture dependencies between words in a sentence.
A larger context window allows the model to consider more context but may lead to increased computational complexity.
For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo
top_k parameter is used to specify the number of top elements to be returned in a result set.
top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.
For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.
In natural language processing tasks, top_k can be used to limit the number of possible next words in a
Regex patterns in Python are sequences of characters that define a search pattern.
Regex patterns are used for pattern matching and searching in strings.
They are created using the 're' module in Python.
Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.
Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.
Iterators are used to loop through elements in a collection, like lists or dictionaries
Tuples are similar to lists but are immutable, meaning their elements cannot be changed
Example of iterator: for item in list: print(item)
Example of tuple: my_tuple = (1, 2, 3)
Yes, I have experience working with REST APIs in various projects.
Developed RESTful APIs using Python Flask framework
Consumed REST APIs in data analysis projects using requests library
Used Postman for testing and debugging REST APIs
Case Study for Data Analysis for marketing company
Group Discussion on Case Study
based on 2 interviews
Interview experience
based on 9 reviews
Rating in categories
Engineer
252
salaries
| ₹0 L/yr - ₹0 L/yr |
Consultant
233
salaries
| ₹0 L/yr - ₹0 L/yr |
Business Analyst
219
salaries
| ₹0 L/yr - ₹0 L/yr |
Software Engineer
195
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Consultant
143
salaries
| ₹0 L/yr - ₹0 L/yr |
Freshworks
Zoho
Ramco Systems
TCS