What is the main difference between traditional programming and machine learning?A . Machine learning models take less time to train.B . Machine learning takes full advantage of SDKs and APIs.C . Machine learning is...
A data analyst creates a term-document matrix for the following sentence: I saw a cat, a dog and another cat. Assuming they used a binary vectorizer, what is the resulting weight for the word...
What is the name of the design thinking work product that contains a summary description of a particular person or role?A . personaB . snapshotC . My Sticky NoteD . user summary reportView AnswerAnswer:...
Which statement is true in the context of evaluating metrics for machine learning algorithms?A . A random classifier has AUC (the area under ROC curve) of 0.5B . Using only one evaluation metric is...
If the distribution of the height of American men is approximately normal, with a mean of 69 inches and a standard deviation of 2.5 inches, then roughly 68 percent of American men have heights...
What is the meaning of "deep" in deep learning?A . To go deep into the loss function landscape.B . The higher the number of machine learning algorithms that can be applied, the deeper is...
What is the technique called for vectorizing text data which matches the words in different sentences to determine if the sentences are similar?A . Cup of VectorsB . Box of LexiconC . Sack of...
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?A . prescriptive analyticsB . cognitive analyticsC . predictive analyticsD . descriptive analyticsView AnswerAnswer:...
Which is an example of a nominal scale data?A . a variable industry with categorical values such as financial, engineering, and retailB . a variable mood with a scale of values unhappy, ok, and...
A classification task has examples that are labeled as belonging to one of two classes: • 90% of the examples belong to class-1 • 10% belong to class-2 Which two techniques are appropriate to...
