Basics

Question 1

parameter

Answer 1

a variable listed inside the parenthesis of a function or a method.

to meet the specific requirements

so the function/method could be adjusted based on different situations

give the function flexibility.

Question 2

target variable

Answer 2

• y
• outcome variable
• dependent variable
• the “unknown”
• response variable

Question 3

feature

Answer 3

• attributes
• x
• predictor
• independent variables
• the “known”
• explanatory variable

Question 4

supervised machine learning (algorithms)

Answer 4

• trained on/use labeled data to find the patterns that lead to each outcome. (observations with a known outcome or human input)
• to develop a model that will then be used to predict or estimate the outcome of new observations which are not known or labeled.

Question 5

recursive

Answer 5

relating to or involving the repeated application of a rule, definition, or procedure to successive results.

Question 6

machine learning

Answer 6

A computer program can learn and adapt to new data without human intervention.

The computer algorithms that allow computer programs to automatically improve through experience.

Question 7

data modeling

Answer 7

• Build mathematical or statistical models, that turn data into predictive and actionable information, that can predict and explain outcomes.

Question 8

IDE

Answer 8

• Integrated Development environment
• GUI where programmers write their code and produce the final product
• Unify all essential tools required for software development and testing