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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...
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...
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...
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 tools would you use to create a natural language processing application?
Which of the following tools would you use to create a natural language processing application?A . AWS DeepRacerB . Azure SearchC . DeepDreamD . NLTKView AnswerAnswer: D Explanation: NLTK (Natural Language Toolkit) is a Python library that provides a set of tools and resources for natural language processing (NLP). NLP...
Which of the following describes a neural network without an activation function?
Which of the following describes a neural network without an activation function?A . A form of a linear regressionB . A form of a quantile regressionC . An unsupervised learning techniqueD . A radial basis function kernelView AnswerAnswer: A Explanation: A neural network without an activation function is equivalent to...
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 B Explanation: The input format is the way...
Which of the following statements are true regarding highly interpretable models? (Select two.)
Which of the following statements are true regarding highly interpretable models? (Select two.)A . They are usually binary classifiers.B . They are usually easier to explain to business stakeholders.C . They are usually referred to as "black box" models.D . They are usually very good at solving non-linear problems.E ....
Which assumption of linear regression is being violated?
For each of the last 10 years, your team has been collecting data from a group of subjects, including their age and numerous biomarkers collected from blood samples. You are tasked with creating a prediction model of age using the biomarkers as input. You start by performing a linear regression...
Which of the actions below will NOT work to fix this underfitting?
You train a neural network model with two layers, each layer having four nodes, and realize that the model is underfit. Which of the actions below will NOT work to fix this underfitting?A . Add features to training dataB . Get more training dataC . Increase the complexity of the...
