Samsung Research Data Scientist Interview Questions and Answers

Q1. Data science basics fundamental questions
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Q1. Data science project based
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Q1. Behavioural project based and technical
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Q1. Motivation, behavioral and informative
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Q1. 1. diff between acf pacf
Ans. 
ACF measures the linear relationship between an observation and its lagged values. PACF measures the direct relationship.
• ACF (Autocorrelation Function) measures the correlation between an observation and its lagged values.

• PACF (Partial Autocorrelation Function) measures the correlation between an observation and its lagged values, while removing the indirect effects of intermediate lags.

• ACF is used to identify the orde...read more
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Q1. Explain Projects worked on?
Ans. 
Developed predictive models for customer churn and sales forecasting using machine learning algorithms.
• Built a customer churn prediction model using logistic regression and random forest algorithms.

• Implemented a time series forecasting model for sales prediction using ARIMA and LSTM neural networks.

• Utilized Python libraries such as pandas, scikit-learn, and TensorFlow for data preprocessing and model building.
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Q2. Explain what are GANs?
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GANs are Generative Adversarial Networks, a type of deep learning model consisting of two neural networks - a generator and a discriminator.
• GANs are used to generate new data samples that resemble a given dataset.

• The generator network creates fake data samples, while the discriminator network tries to distinguish between real and fake samples.

• The two networks are trained simultaneously in a competitive manner, improvin...read more
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Q3. Any Research Paper published?
Ans. 
Yes, I have published a research paper on the topic of machine learning algorithms for predictive analytics.
• Published research paper on machine learning algorithms

• Focused on predictive analytics

• Presented findings at a data science conference
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Q4. Explain working of Neural networks?
Ans. 
Neural networks are a type of machine learning algorithm inspired by the human brain's neural structure.
• Neural networks consist of layers of interconnected nodes (neurons) that process input data and pass it through activation functions.

• They use weights to adjust the strength of connections between neurons during training.

• Neural networks are capable of learning complex patterns and relationships in data, making them su...read more
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C++ basic and advance level

Q1. Advance DSA questions
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Q1. Data science basics fundamental questions
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Q1. Data science project based
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Q1. Behavioural project based and technical
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Q1. Motivation, behavioral and informative
Add your answer

Q1. 1. diff between acf pacf
Ans. 
ACF measures the linear relationship between an observation and its lagged values. PACF measures the direct relationship.
• ACF (Autocorrelation Function) measures the correlation between an observation and its lagged values.

• PACF (Partial Autocorrelation Function) measures the correlation between an observation and its lagged values, while removing the indirect effects of intermediate lags.

• ACF is used to identify the orde...read more
Answered by AI
Add your answer

Basic python questions