- All Exams Instant Download
Which of following approaches would be optimal for this task?
In a self-driving car company, ML engineers want to develop a model for dynamic pathing. Which of following approaches would be optimal for this task?A . Dijkstra AlgorithmB . Reinforcement learningC . Supervised Learning.D . Unsupervised LearningView AnswerAnswer: B Explanation: Reinforcement learning is a type of machine learning that involves...
Which of the following can benefit from deploying a deep learning model as an embedded model on edge devices?
Which of the following can benefit from deploying a deep learning model as an embedded model on edge devices?A . A more complex modelB . Guaranteed availability of enough spaceC . Increase in data bandwidth consumptionD . Reduction in latencyView AnswerAnswer: D Explanation: Latency is the time delay between a...
Which of the following is TRUE regarding the dataset parameters?
A healthcare company experiences a cyberattack, where the hackers were able to reverse-engineer a dataset to break confidentiality. Which of the following is TRUE regarding the dataset parameters?A . The model is overfitted and trained on a high quantity of patient records.B . The model is overfitted and trained on...
Assuming the following algorithms have similar accuracy on your data, which is most likely to be an ideal choice for the job?
You are developing a prediction model. Your team indicates they need an algorithm that is fast and requires low memory and low processing power. Assuming the following algorithms have similar accuracy on your data, which is most likely to be an ideal choice for the job?A . Deep learning neural...
Which of the following is the definition of accuracy?
Which of the following is the definition of accuracy?A . (True Positives + False Positives) / Total PredictionsB . (True Positives + True Negatives) / Total PredictionsC . True Positives / (True Positives + False Negatives)D . True Positives / (True Positives + False Positives)View AnswerAnswer: B Explanation: Accuracy is...
Which of the following options is a correct approach for scheduling model retraining in a weather prediction application?
Which of the following options is a correct approach for scheduling model retraining in a weather prediction application?A . As new resources become availableB . Once a monthC . When the input format changesD . When the input volume changesView AnswerAnswer: C Explanation: The input format is the way that...
What minimum grade would the student need to achieve on the last test to get an 80% average?
A dataset can contain a range of values that depict a certain characteristic, such as grades on tests in a class during the semester. A specific student has so far received the following grades: 76,81, 78, 87, 75, and 72. There is one final test in the semester. What minimum...
Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?
A classifier has been implemented to predict whether or not someone has a specific type of disease. Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?A . Mean squared errorB . Precision and accuracyC . Precision...
How precise is the classifier?
The following confusion matrix is produced when a classifier is used to predict labels on a test dataset. How precise is the classifier? A . 48/(48+37)B . 37/(37+8)C . 37/(37+7)D . (48+37)/100View AnswerAnswer: B Explanation: Precision is a measure of how well a classifier can avoid false positives (incorrectly predicted...
Given a feature set with rows that contain missing continuous values, and assuming the data is normally distributed, what is the best way to fill in these missing features?
Given a feature set with rows that contain missing continuous values, and assuming the data is normally distributed, what is the best way to fill in these missing features?A . Delete entire rows that contain any missing features.B . Fill in missing features with random values for that feature in...
