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Managing a team with conflicting personalities and work styles.
Identifying the root cause of conflicts within the team
Implementing strategies to improve communication and collaboration
Mediating disputes and finding common ground for all team members
To be decided i am yet to clear
I applied via LinkedIn and was interviewed before Jun 2022. There were 3 interview rounds.
They use test gorilla for screening mostly PHP, MySQL, HTML, and javascript
I applied via Indeed and was interviewed in Aug 2021. There were 4 interview rounds.
Total AI Systems interview questions for popular designations
I applied via Indeed and was interviewed in Mar 2021. There were 3 interview rounds.
I applied via Indeed and was interviewed in Mar 2021. There were 4 interview rounds.
Yes, Decision tree is a supervised learning algorithm and Random Forest is an ensemble learning method.
Decision tree is a tree-like model where each internal node represents a test on an attribute, each branch represents the outcome of the test, and each leaf node represents a class label.
Random Forest is a collection of decision trees where each tree is built using a random subset of the training data and a random sub...
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posted on 25 Oct 2024
I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
BERT is a pre-trained natural language processing model developed by Google.
Bidirectional Encoder Representations from Transformers
Utilizes transformer architecture with attention mechanisms
Pre-trained on large corpus of text data for various NLP tasks
Fine-tuned for specific tasks like text classification, question answering, etc.
I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.
Evaluation metrics for classification are used to assess the performance of a classification model.
Common evaluation metrics include accuracy, precision, recall, F1 score, and ROC-AUC.
Accuracy measures the proportion of correctly classified instances out of the total instances.
Precision measures the proportion of true positive predictions out of all positive predictions.
Recall measures the proportion of true positive p...
L1 and L2 regression are regularization techniques used in machine learning to prevent overfitting.
L1 regression adds a penalty equivalent to the absolute value of the magnitude of coefficients.
L2 regression adds a penalty equivalent to the square of the magnitude of coefficients.
L1 regularization can lead to sparse models, while L2 regularization tends to shrink coefficients towards zero.
L1 regularization is also know...
Random forest is an ensemble learning algorithm that builds multiple decision trees and combines their predictions.
Random forest creates multiple decision trees using bootstrapping and feature randomization.
Each tree in the random forest is trained on a subset of the data and features.
The final prediction is made by averaging the predictions of all the trees (regression) or taking a majority vote (classification).
I am a dedicated and passionate Machine Learning Engineer with a strong background in computer science and data analysis.
Experienced in developing machine learning models for various applications
Proficient in programming languages such as Python, R, and Java
Skilled in data preprocessing, feature engineering, and model evaluation
Strong understanding of algorithms and statistical concepts
Excellent problem-solving and ana
I applied via Company Website and was interviewed in Nov 2024. There were 2 interview rounds.
Logical, Verbal, reasoning 90 mins
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