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A subset of SQL refers to a smaller set of data or records that meet specific criteria within a larger dataset.
A subset can be created using the WHERE clause in SQL to filter data based on certain conditions.
Subsets can also be generated using the SELECT statement to retrieve specific columns from a table.
Examples of subsets include selecting all customers from a specific city or employees with a certain job title.
A table is a collection of related data stored in rows and columns, while a field is a single piece of data within a table.
A table is like a spreadsheet with rows and columns, where each row represents a record and each column represents a field
A field is a specific piece of data within a table, such as a name, age, or address
Tables and fields are used in databases to organize and store information efficiently
I applied via Company Website and was interviewed before Dec 2023. There were 2 interview rounds.
Answers to common questions in Oracle SQL and PLSQL Developer interview.
Data is a collection of facts, figures, and statistics that can be processed to derive information.
A database is a structured collection of data that is stored and organized in a way that allows for efficient retrieval and manipulation.
Delete removes specific rows from a table while truncate removes all rows from a table.
Primary key is a column or ...
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posted on 14 May 2022
I applied via Walk-in and was interviewed before May 2021. There were 3 interview rounds.
I applied via Naukri.com
I applied via Naukri.com and was interviewed in Jun 2021. There was 1 interview round.
I applied via Naukri.com and was interviewed before Mar 2023. There were 2 interview rounds.
Basic coding questions (non-DSA) - Basic questions to reverse a string, check if string is palindrome, etc. If you have basic coding skills, you'll easily clear this round
I applied via Campus Placement and was interviewed in Mar 2024. There was 1 interview round.
Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.
Hyperparameters are parameters that are set before the learning process begins.
Hyperparameter tuning involves adjusting hyperparameters to optimize the model's performance.
Common techniques for hyperparameter tuning include grid search, random search, and Bayesian optimization.
Neural networks are trained using algorithms that adjust the weights and biases of the network based on the input data and desired output.
Neural networks are trained using a process called backpropagation, where the error between the predicted output and the actual output is used to adjust the weights and biases of the network.
Training data is fed into the neural network, and the network's output is compared to the des...
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It can be identified when a model performs well on training data but poorly on unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early ...
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Aptitude was quite easy with simple python questions
Asked basic questions on numpy and pandas
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