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Ericsson
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I applied via Company Website and was interviewed in Oct 2024. There was 1 interview round.
Data Warehouse stores structured data for reporting and analysis, Data Lakes store raw and unstructured data, Tables are basic data structures.
Data Warehouse is used for storing structured data from various sources for reporting and analysis.
Data Lakes store raw and unstructured data in its native format for future processing and analysis.
Tables are basic data structures used to organize and store data in a structured ...
Group by is used to group rows that have the same values into summary rows, while Partition by is used to divide the result set into partitions to which the function is applied separately.
Group by is used with aggregate functions to group rows based on a column or set of columns.
Partition by is used with window functions to divide the result set into partitions.
Group by is used with SELECT statement, while Partition by...
Basic aptitude ques were asked
I applied via Company Website and was interviewed in Feb 2024. There were 2 interview rounds.
Ericsson interview questions for designations
I was interviewed in Feb 2024.
Get interview-ready with Top Ericsson Interview Questions
I was interviewed before Mar 2021.
Round duration - 60 minutes
Round difficulty - Easy
Technical Interview round with questions on ML mainly.
Tip 1 : Prepare basics of ML, stats and Sql properly.
Tip 2 : Go through all the previous interview experiences from Codestudio and Leetcode.
Tip 3 : Do at-least 2 good projects and you must know every bit of them.
Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.
I applied via Referral and was interviewed before Nov 2020. There were 4 interview rounds.
Assumptions of linear regression
Linear relationship between independent and dependent variables
Homoscedasticity (constant variance) of errors
Independence of errors
Normal distribution of errors
No multicollinearity among independent variables
Multicollinearity in regression analysis affects the accuracy and interpretability of the model.
Multicollinearity occurs when two or more independent variables are highly correlated.
It leads to unstable and unreliable estimates of regression coefficients.
It reduces the precision of the estimates and increases the standard errors.
It makes it difficult to interpret the individual effects of the independent variables.
It c...
Measures to check performance of classification model
Accuracy
Precision
Recall
F1 Score
ROC Curve
Confusion Matrix
Logistic regression assumes linear relationship between independent and dependent variables.
May not perform well with non-linear data
May overfit or underfit the data
May be sensitive to outliers
May require large sample size for stable results
Top trending discussions
I applied via Naukri.com and was interviewed before Apr 2022. There were 6 interview rounds.
Some of the top questions asked at the Ericsson Data Scientist interview -
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