Reliance Industries Interview Questions and Answers

Bias in neural networks helps in capturing the underlying patterns in data. Scaling data helps in improving convergence and performance.

• Bias in neural networks helps in shifting the activation function to better fit the data.

• It allows the model to capture the underlying patterns in the data by providing flexibility in the decision boundary.

• Scaling data helps in improving convergence by ensuring that the gradients are of similar scale.

• It also helps in improving the performance...read more

The ASCII value is a numerical representation of a character. It includes both capital and small alphabets.

• ASCII values range from 65 to 90 for capital letters A to Z.

• ASCII values range from 97 to 122 for small letters a to z.

• For example, the ASCII value of 'A' is 65 and the ASCII value of 'a' is 97.

Random forest uses feature importance to select the most relevant features for prediction.

• Random forest calculates feature importance based on how much each feature decreases impurity in the model

• Features with higher importance are considered more relevant for prediction

• Random forest can automatically handle feature selection by using only the most important features

• Example: In a random forest model predicting customer churn, important features could include customer age, sub...read more

Confusion matrix is a table used to evaluate the performance of a classification model. P value is a measure of the strength of evidence against the null hypothesis. K-means is a clustering algorithm while decision tree is a classification algorithm.

• Confusion matrix is a 2x2 table that shows the true positive, true negative, false positive, and false negative values of a classification model.

• P value is the probability of obtaining results at least as extreme as the observed r...read more

Model evaluation is crucial in ML pipeline to assess the performance and generalization of the model.

• Helps in selecting the best model for the given problem by comparing different models based on metrics like accuracy, precision, recall, etc.

• Prevents overfitting by checking if the model is performing well on unseen data.

• Guides in fine-tuning hyperparameters to improve model performance.

• Enables understanding of model limitations and areas of improvement.

• Examples: Cross-validat...read more

Code for parsing a triangle

• Use a loop to iterate through each line of the triangle

• Split each line into an array of numbers

• Store the parsed numbers in a 2D array or a list of lists

NLP stands for Natural Language Processing, while CNN refers to Convolutional Neural Networks.

• NLP is a branch of artificial intelligence that focuses on the interaction between computers and humans using natural language.

• CNN is a type of deep learning algorithm commonly used for image recognition and classification tasks.

• CNNs are also used in NLP for tasks like text classification and sentiment analysis.

The .py files contain Python code, while the .pyc files are compiled bytecode files generated by Python when a .py file is imported.

• The .py files are human-readable text files containing Python code.

• The .pyc files are compiled bytecode files created by Python to improve execution speed.

• The .pyc files are automatically generated by Python when a .py file is imported.

• The .pyc files are platform-independent and can be distributed without revealing the source code.