Jio Platforms Data Scientist Interview Questions, Process, and Tips

Decision tree, xgboost, and regression are machine learning algorithms used for prediction and classification tasks.

• Decision tree is a tree-like model that splits data based on the most significant attribute to make predictions.

• XGBoost is an optimized implementation of gradient boosting that uses decision trees as base learners.

• Regression algorithms are used to predict continuous values based on input features, such as

Loss function measures the difference between predicted and actual values.

• It is used to optimize the model during training.

• Common loss functions include mean squared error, binary cross-entropy, and categorical cross-entropy.

• The choice of loss function depends on the problem being solved and the type of output.

• The goal is to minimize the loss function to improve the accuracy of the model.

• Loss function can be customized

Latency refers to the time delay between a request and a response. It can be managed through various techniques.

• Latency can be reduced by optimizing code and minimizing network calls.

• Caching can also help reduce latency by storing frequently accessed data.

• Load balancing and scaling can help distribute traffic and prevent bottlenecks.

• Asynchronous programming can help improve performance by allowing multiple tasks to be ...read more