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NEW QUESTION 52
Which three are unsupervised machine learning algorithms?
- A. Association rule
- B. K-means clustering
- C. Principal Component Analysis
- D. Random Forest
- E. Logistical Regression
- F. Naive Bayes
Answer: A,B,C
Explanation:
Unsupervised machine learning uses a more independent approach, in which a computer learns to identify complex processes and patterns without a human providing close, constant guidance. Unsupervised machine learning involves training based on data that does not have labels or a specific, defined output. To continue the childhood teaching analogy, unsupervised machine learning is akin to a child learning to identify fruit by observing colors and patterns, rather than memorizing the names with a teacher’s help. The child would look for similarities between images and separate them into groups, assigning each group its own new label. Examples of unsupervised machine learning algorithms include k-means clustering, principal and independent component analysis, and association rules.
NEW QUESTION 53
You are tasked with building a predictive model that can estimate the price of houses, based on attributes like number of rooms, square-footage (size), location, neighborhood attributes, year built among others.
Which three algorithms can you use to produce such a model with Oracle Machine Learning?
- A. Explicit Semantic Analysis
- B. One-Class Support Vector Machine
- C. Generalized Linear Model (Classification)
- D. Neural Networks (Regression)
- E. Generalized Linear Model (Regression)
- F. Support Vector Machine (Regression)
Answer: A,B,E
NEW QUESTION 54
You are creating a job that should run a notebook every hour. You want to make sure that the job does not run repeatedly if there are more than five consecutive failures to run the job.
Which option should you set while creating the job?
- A. Minimum Failure Allowed
- B. Timeout in Minutes
- C. Maximum Number of Runs
- D. Maximum Failure Allowed
Answer: D
NEW QUESTION 55
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