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Anomaly detection is identifying unusual patterns in data. LSTM is a type of neural network used for sequence prediction. BERT is used in chatbots for natural language processing.
Anomaly detection involves identifying patterns in data that deviate from the norm
LSTM is a type of neural network that is used for sequence prediction and can handle long-term dependencies
BERT is a pre-trained language model used for natural ...
Preprocessing techniques include data cleaning, normalization, encoding, and feature scaling. Overfitting can be resolved by using techniques like cross-validation, regularization, and early stopping.
Data cleaning involves removing missing values, outliers, and duplicates
Normalization scales the data to a range of 0 to 1
Encoding converts categorical variables into numerical values
Feature scaling standardizes the range ...
I handle large amount of financial data by using distributed computing and parallel processing.
Use distributed computing frameworks like Hadoop or Spark to handle large datasets
Implement parallel processing to speed up data processing
Use cloud-based solutions like AWS or Azure for scalability
Optimize data storage and retrieval using compression and indexing techniques
Ensure data security and compliance with regulations
Outliers can be handled by removing or transforming them. Unbalanced datasets can be handled by resampling techniques.
For outliers, use statistical methods like z-score or IQR to identify and remove them.
For unbalanced datasets, use techniques like oversampling, undersampling, or SMOTE to balance the classes.
For regression problems, use robust regression techniques like Ridge or Lasso to handle outliers.
For classificat...
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I applied via Referral and was interviewed before Oct 2019. There were 4 interview rounds.
I applied via Naukri.com and was interviewed before Nov 2020. There were 3 interview rounds.
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