Which measure can be used to show business stakeholders the likelihood that a machine learning model will generate a true prediction?
Which fine-tuning technique does not optimize the hyperparameters of a machine learning model?
Which statement is true in the context of evaluating metrics for machine learning algorithms?
What are the various components that make up a time series data?
Which situation would disqualify a machine learning system from being used for a particular use case?
Considering one ML application is deployed using Kubernetes, its output depends on the data which is constantly stored in the model, if needing to scale the system based on available CPUs, what feature should be enabled?
Given the following sentence:
The dog jumps over a fence.
What would a vectorized version after common English stopword removal look like?
A neural network is trained for a classification task. During training, you monitor the loss function for the train dataset and the validation dataset, along with the accuracy for the validation dataset. The goal is to get an accuracy of 95%.
From the graph, what modification would be appropriate to improve the performance of the model?
Which is the most important thing to ensure while collecting data?
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?
TESTED 16 Oct 2025