FIT1043 - Introduction to data Science Week 1

What is Machine learning?

Algorithms that allows computers to learn and replicate.

What does Collection stand for in Standard Value Chain and give an example.

Collecting data-sets necessary to proof a hypothesis

What is Standard Value Chain?

Collection > Engineering > Governance > Wrangling > analysis > Presentation > Operationalisation.

What does Engineering in Standard Value Chain stand for?

Data Engineering are the people who apply practical applications to an operation.

What is data science?

Extraction of knowledge, data mining and predictive analytics

Venn diagram for data science

Hacking skills, substantial expertise, mathematical knowledge in statistics, machine learning etc (any three above mentioned is correct!)

What does presentation stand for in Standard value chain?

Presenting findings in Data-sets and discuss possible methods of using Data.

What is Ope rationalization in Standard Value chain?

The last stage of a data operation, where experts launch, Managers uses data that has been gathered and put it in practicality.

What does Governance stand for in Standard Value Chain?

The people who Manages Different data standards and formats

Data Wrangling

The process of cleaning Data-sets and values that are not useful to the operation

Data Analysis

The process of compiling, analyzing, and interpreting the results of primary and secondary data collection.

Why use Machine learning?

When human expertise is not available or large amount of data that cannot be processed.

Describe Big Data

data sets too large and complex to work with typical database management tools