Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
<em>Hope this helps!</em>
Answer:
All of them apply
Explanation:
Green computing is the process of using environmental friendly computers and its associated components, accessories and other supporting devices.
Virtualization helps us to reduce the number of hardware that we are using.
Grid computers helps us to reduce the use of number of machines and thus supporting the environment in a right way.
Recycling process. Any material that we use needs to be recycled effectively and also in an environmental friendly way.
Autonomic computing uses eco-friendly system which in turn hugely support green computing.
Answer:
The correct option for the given question is option(b) i.e 72 = amount;
Explanation:
In the option(a) the total variable store the value 9 which is a valid assignment
In the option(b) 72 is not a variable because the variable will never start with a numeric number. Therefore it is not a valid assignment statement.
In the option(c) the yourAge variable store the value of myAge variable which is a valid assignment.
So correct answer is an option(b).
