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NEW QUESTION 22
Which three are unsupervised machine learning algorithms?
- A. Principal Component Analysis
- B. Association rule
- C. K-means clustering
- D. Naive Bayes
- E. Logistical Regression
- F. Random Forest
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 23
You want to analyze the spike in sales during weekends in India (Saturday and Sunday) and also perform a similar analysis for weekends in Dubai (Friday and Saturday). You will be reusing these notebooks in similar situations over time. You do not want to share them with other users.
Which template should you use?
- A. Personal
- B. Shared
- C. Public
- D. Example
Answer: A
Explanation:
https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/149312
NEW QUESTION 24
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. Neural Networks (Regression)
- B. One-Class Support Vector Machine
- C. Explicit Semantic Analysis
- D. Generalized Linear Model (Classification)
- E. Generalized Linear Model (Regression)
- F. Support Vector Machine (Regression)
Answer: B,C,E
NEW QUESTION 25
……
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