National Institute of Technology Interview Questions and Answers

Type I error is rejecting a true null hypothesis, while Type II error is failing to reject a false null hypothesis.

• Type I error is also known as a false positive.

• Type II error is also known as a false negative.

• Type I error occurs when the researcher concludes that there is a significant effect when there is not.

• Type II error occurs when the researcher concludes that there is no significant effect when there actually is.

• The probability of Type I error is denoted by alpha, whil...read more

IGBT is a voltage-controlled device where the performance is influenced by the voltage across the gate and source.

• IGBT stands for Insulated Gate Bipolar Transistor.

• The voltage across the gate and source controls the conductivity of the IGBT.

• Increasing the gate-source voltage allows more charge carriers to be available, enhancing the device's performance.

• IGBTs are commonly used in power electronics applications due to their high efficiency and fast switching speeds.

The difficult session involved addressing challenging behavior and lack of motivation among trainees.

• Focused on identifying root causes of behavior and motivation issues

• Implemented personalized strategies to address individual needs

• Used positive reinforcement and encouragement to boost morale

• Provided additional support and resources for struggling trainees

Regularization is a technique used to prevent overfitting in machine learning models.

• Regularization adds a penalty term to the loss function to discourage complex models.

• It helps to reduce the variance of the model and improve its generalization performance.

• L1 and L2 regularization are commonly used techniques.

• L1 regularization adds the absolute value of the coefficients to the loss function.

• L2 regularization adds the square of the coefficients to the loss function.

• The streng...read more