Answer:
Program
Explanation:
Program has a set of codes that can control a machine or computer. pseudo code is meant for humans to read not machines. A variable is likely to change
Answer:
U.S. Bureau of Labor Statistics.
Explanation:
The Bureau of Labor Statistics is a unit of the United States Department of Labor assigned with the task of fact-finding in the field of labor and statistics for the government. The agency helps measure the labor activity in the market and evaluates all forms of activity regarding labor conditions for the government.
This agency also functions or serves as the principal agency for the United States Federal Statistical System. It not only collects information or data but also helps spread the said information to the government. It also published a biennial handbook describing various occupations.
Answer:
We see an object when light falls on it and gets reflected from its surface and enters our eyes. In a dark room, there is no source of light. no light falls on the surface of objects and we do not see them. This is why we cannot see the objects in a dark room.
Answer:
Explanation:
Hadoop clusters can boost the processing speed of many big data analytics jobs, given their ability to break down large computational tasks into smaller tasks that can be run in a parallel, distributed fashion.
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>
