Describing Data

Question 1

What is the difference between scripting and programming language used in data analytics?

Answer 1

Scripting languages are interpreted, programming languages are compiled. So programming languages use a compiler to convert the language to machine language while scripting used an interpreter like powershell to convert into machine language

Question 2

Define/Describe methods used to validate models

Answer 2

Cross validation and testing of new data

Question 3

Regression

Answer 3

Providing output given a set of inputs. To present an outcome based on a set of predictor variables.

Question 4

Trend Analysis

Answer 4

Understanding how and why things have changed over time. Regression analysis with a function of time in a value.

Question 5

Time series

Answer 5

Statistical tool that deals with a sequence of data in chronological order. Looks for trends over time. Also separates data into an overall trend. Also known as supervised learning. This is done by using a previous time step as an input variable and using the next time step as an output variable.

Question 6

Decomposition

Answer 6

Breaking time series data into components. This is used in time series to describe why there are variations in trends

Question 7

Spectral Density

Answer 7

Graph showing frequencies related to autocovariance time domain

Question 8

Define/describe machine learning and artificial intelligence.

Answer 8

ML- using algorithms and statistical models to analyze and draw inferences from patterns in data. MO focuses on development of computer programs that can access data and use it to learn for themselves. AI is the development of smart machines capable of tasks a human can do. Such as visual perception and speech recognition, decision making.