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What is the formula for measuring skewness in a dataset?
What is the formula for measuring skewness in a dataset?A . MEAN - MEDIANB . MODE - MEDIANC . (3(MEAN - MEDIAN))/ STANDARD DEVIATIOND . (MEAN - MODE)/ STANDARD DEVIATIONView AnswerAnswer: C Explanation: Since the normal curve is symmetric about its mean, its skewness is zero. This is a theoretical...
There are a couple of different types of classification tasks in machine learning, Choose the Correct Classification which best categorized the below Application Tasks in Machine learning?
There are a couple of different types of classification tasks in machine learning, Choose the Correct Classification which best categorized the below Application Tasks in Machine learning? ・ To detect whether email is spam or not ・ To determine whether or not a patient has a certain disease in medicine....
SHOW GRANTS OF SHARE product_s;
SHOW GRANTS OF SHARE product_s;A . GRANT USAGE ON DATABASE product_db TO SHARE product_s;B . CREATE DIRECT SHARE product_s;C . GRANT SELECT ON TABLE sales_db. product_agg.Item_agg TO SHARE product_s;D . ALTER SHARE product_s ADD ACCOUNTS=xy12345, yz23456;View AnswerAnswer: C Explanation: CREATE SHARE product_s is the correct Snowsql command to create Share...
Which object records data manipulation language (DML) changes made to tables, including inserts, updates, and deletes, as well as metadata about each change, so that actions can be taken using the changed data of Data Science Pipelines?
Which object records data manipulation language (DML) changes made to tables, including inserts, updates, and deletes, as well as metadata about each change, so that actions can be taken using the changed data of Data Science Pipelines?A . TaskB . Dynamic tablesC . StreamD . TagsE . DeltaF . OFFSETView...
Which one is not the feature engineering techniques used in ML data science world?
Which one is not the feature engineering techniques used in ML data science world?A . ImputationB . BinningC . One hot encodingD . StatisticalView AnswerAnswer: D Explanation: Feature engineering is the pre-processing step of machine learning, which is used to transform raw data into features that can be used for...
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access? A. Reader accounts (formerly known as “read-only accounts”) provide a quick, easy, and cost-effective way to share data without requiring the consumer to become a Snowflake customer. B. Each...
Which of the learning methodology applies conditional probability of all the variables with respective the dependent variable?
Which of the learning methodology applies conditional probability of all the variables with respective the dependent variable? A. Reinforcement learning B. Unsupervised learning C. Artificial learning D. Supervised learningView AnswerAnswer: D Explanation: Supervised learning is a type of machine learning where we train a model using labeled data. In this...
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?
As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access? A. Reader accounts (formerly known as “read-only accounts”) provide a quick, easy, and cost-effective way to share data without requiring the consumer to become a Snowflake customer. B. Each...
Which of the following options?
Data providers add Snowflake objects (databases, schemas, tables, secure views, etc.) to a share using. Which of the following options?A . Grant privileges on objects to a share via Account role.B . Grant privileges on objects directly to a share.C . Grant privileges on objects to a share via a...
Which one is not the feature engineering techniques used in ML data science world?
Which one is not the feature engineering techniques used in ML data science world?A . ImputationB . BinningC . One hot encodingD . StatisticalView AnswerAnswer: D Explanation: Feature engineering is the pre-processing step of machine learning, which is used to transform raw data into features that can be used for...
