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Databricks Databricks-Certified-Professional-Data-Scientist Preparation Material
By
AlbertRio,
in Data Scientist Professional Certification Exams
Prepare Databricks Databricks-Certified-Professional-Data-Scientist Exam Questions
Question No 1:
Feature Hashing approach is "SGD-based classifiers avoid the need to predetermine vector size by simply picking a reasonable size and shoehorning the training data into vectors of that size" now with large vectors or with multiple locations per feature in Feature hashing?
A. Is a problem with accuracy
B. It is hard to understand what classifier is doing
C. It is easy to understand what classifier is doing
D. Is a problem with accuracy as well as hard to understand what classifier us doing
Answer: B
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Question No 1:
Feature Hashing approach is "SGD-based classifiers avoid the need to predetermine vector size by simply picking a reasonable size and shoehorning the training data into vectors of that size" now with large vectors or with multiple locations per feature in Feature hashing?
A. Is a problem with accuracy
B. It is hard to understand what classifier is doing
C. It is easy to understand what classifier is doing
D. Is a problem with accuracy as well as hard to understand what classifier us doing
Answer: B
See More Questions
Information About Databricks Databricks-Certified-Professional-Data-Scientist Exam
Vender: Databricks
Exam Code: Databricks-Certified-Professional-Data-Scientist
Exam Name: Databricks Certified Professional Data Scientist Exam
Number Of Questions: 138
Certification Name: Data Scientist Professional
Exam Language: English
Questions Type: MCQs
Material Format: PDF & Web Practice Test Software