COMPUTER FUNDAMENTALS

EMERGING TRENDS IN COMPUTING

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Which of the following is correct about the difference between machine learning algorithms and traditional rule-based methods?
A
Traditional rule-based methods, in which the rules can be explicitly clarified manually
B
Traditional rule-based methods use explicit programming to solve problems
C
The mapping relationship of the model in machine learning is automatically learned
D
The mapping relationship of the model in the machine learning institute must be implicit
Explanation: 

Detailed explanation-1: -Machine learning algorithms are procedures that are implemented in code and are run on data. Machine learning models are output by algorithms and are comprised of model data and a prediction algorithm.

Detailed explanation-2: -Machine learning uses algorithms to parse data, learn from that data, and make informed decisions based on what it has learned. Deep learning structures algorithms in layers to create an “artificial neural network” that can learn and make intelligent decisions on its own.

Detailed explanation-3: -Machine learning is about computers being able to think and act with less human intervention; deep learning is about computers learning to think using structures modeled on the human brain. Machine learning requires less computing power; deep learning typically needs less ongoing human intervention.

There is 1 question to complete.