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A decision tree is a flowchart-like structure where each internal node represents a feature, each branch represents a decision, and each leaf node represents an outcome.
Decision trees are a popular machine learning algorithm used for classification and regression tasks.
They are easy to interpret and visualize, making them useful for understanding the decision-making process.
Decision trees work by recursively splitting ...
Boosting is a machine learning ensemble technique that combines multiple weak learners to create a strong learner.
Boosting iteratively improves the performance of a model by focusing on the mistakes made by previous models.
Popular boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.
Boosting is often used in classification and regression problems to improve accuracy and reduce bias.
I applied via Referral and was interviewed before Jun 2023. There were 2 interview rounds.
Top trending discussions
I applied via Approached by Company and was interviewed in Oct 2024. There were 3 interview rounds.
I have worked on projects involving natural language processing, computer vision, and recommendation systems.
Developed a sentiment analysis model using NLP techniques
Implemented a facial recognition system using CNNs
Built a movie recommendation engine based on collaborative filtering
I applied via LinkedIn and was interviewed in Dec 2023. There were 3 interview rounds.
Asked various questions related to MLOPs pipelines on AWS and Azure. Asked two basic python questions as well.
Designing a complete MLOps pipeline with all the necessary steps.
Data collection and preprocessing
Model training and evaluation
Model deployment
Monitoring and feedback loop
Automated retraining
Version control and collaboration
I applied via Recruitment Consulltant and was interviewed in Aug 2024. There was 1 interview round.
Basic Coding round and understanding of candidate's previous work experience. Questions on ML orchestrators.
I was interviewed in Feb 2024.
PCA stands for Principal Component Analysis. It is a dimensionality reduction technique used to reduce the number of variables in a dataset while preserving the most important information.
PCA is used to transform high-dimensional data into a lower-dimensional space by finding the principal components that explain the maximum variance in the data.
The first principal component is the direction in which the data varies th...
Python code to sort elements in an array of strings
Use the sorted() function to sort the elements in the array
Specify the key parameter if you want to sort based on a specific criteria
Use the reverse parameter to sort in descending order if needed
General aptitude questions
Was given a topic and asked to talk about for 2 mins
LatentView offers a dynamic work environment with opportunities for growth and learning in the field of analytics.
LatentView has a strong reputation in the analytics industry for delivering innovative solutions to clients.
The company values continuous learning and development, providing employees with opportunities to enhance their skills.
LatentView offers a collaborative work culture where employees can work on divers...
I expect a supportive work environment, opportunities for growth, and clear communication.
Supportive work environment where I can collaborate with team members
Opportunities for growth and advancement within the company
Clear communication regarding expectations, feedback, and goals
I applied via Newspaper Ad
Basic coding questins
Aptitude test was easy, you can prepare it with online available resources
We were asked to complete few games which were related to logical thinking
It was a common topic and was 1 hour long
based on 2 interviews
Interview experience
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