Understanding Machine Learning Concepts

18 Questions

What is the main difference between machine learning and rules-based methods?

Machine learning relies on data to make decisions, while rules-based methods follow predefined rules.

Who typically creates the set of rules in rules-based methods?

Human experts

What type of data is important in rules-based systems for loan approvals?

Structured data

Which approach relies more on predefined conditions and if-else statements?

Rules-based methods

Before machine learning, what was the primary method for decision-making discussed in the text?

Expert systems

What type of systems are expert systems and rules-based systems considered as?

Expert systems themselves

What is the main focus of machine learning according to Dr. Anand Jayaraman?

Automatically deriving rules from past outcomes

In the 1970s, the set of machine learning methods was mostly proficient at handling which type of data?

Structured data

What set of methods emerged about 10 to 14 years ago as a subset of machine learning?

Deep learning

What did Dr. Anand Jayaraman state was required to handle unstructured data effectively?

Deep learning methods

Which term describes the class of AI encompassing machine learning and deep learning according to the text?

AI set

What aspect of tasks can be handled by explicitly specifying rules, according to Dr. Anand Jayaraman?

Human tasks

What is structured data?

Data that can be put in the form of an Excel sheet

Which type of data is commonly dealt with in day-to-day businesses?

Structured data organized in rows and columns

What type of data do robots, chat GPT, and self-driving cars interact with?

Raw unorganized data

What percentage of businesses mainly deals with structured data?

90%

In the context of AI and machine learning, what type of data is referred to as 'real world' data?

Unstructured data

What kind of data are images, videos, audio, sound, and text classified as?