Which data type is used to teach a Machine Learning (ML) algorithm during structured learning?
answer:
Answer:
An increase in revenue
Explanation:
We cannot predict how much revenue growth we are going to generate, and at what time. And hence, 2 and 3 are not an option here. Also, a TV science show has nothing to do with the quantifiable outcome of a project. And what is true is certainly that there is going to be an increase in revenue, which can certainly predict if we feel work was good and ended with good results. And hence the above option is the correct option for this question.
Answer: NAS(Network-attached storage)
Explanation:
NAS(Network-attached storage) is the file storage in computer server which links to computer network. It is used by heterogeneous client or group of other various users to access files data.
- It can retrieve data from shared folder storage in network.It can provide serving file feature through standard, hardware,configuration or software.
- It provides high speed service of sharing and serving files, continuous work in faulty situation, easy configuration, simple accessing of data etc.
Mobile devices are unable to run full scale software programs like MS Word or Excel. They can run apps however with smaller capabilities as they require less hardware and specifications than the full version
The answer is false
Answer:
The challenge of cost control
The challenge of competence
The challenge of reduced system delivery times.
Explanation:The Challenge of Cost control is a major challenge affecting the software engineering in the 21st century,the cost of Microchips and other hardware are constantly rising.
The challenge of competence is another major challenge affecting software engineering in the 21st century,as most software engineers lack the required competence to handle some of the issues facing softwares.
The challenge of reduced system delivery times is a major challenge likely to affect software engineering in the 21st century,as people required the software to be available in the shortest possible time.
