Question

1. What are the four functions/uses of a machine?​

Answer 1

Explanation:

The beauty of applications that employ machine learning is that they can be extremely simple on the surface, hiding away much complexity from users. However, designers can’t afford to ignore the under-the-hood part of machine learning altogether. In this article, I demonstrate the three main functions machine learning algorithms perform underneath with along with six unique benefits you can derive from using them.

SO WHAT HAVE MACHINES LEARNED SO FAR?

In 2016, the most celebrated milestone of machine learning was AlphaGo’s victory over the world champion of Go, Lee Sedol. Considering that Go is an extremely complicated game to master, this was a remarkable achievement. Beyond exotic games such as Go, Google Image Search is maybe the best-known application of machine learning. Search feels so natural and mundane when it effectively hides away all of the complexity is embeds. With over 30 billion search queries every day, Google Image Search constantly gets more opportunities to learn.

Three main uses of machine learning

There are already more individual machine learning applications that are reasonable to list here. But a major simplification is not sufficient either, I feel. One way to appreciate the variety is to look at successful ML applications from Eric Siegel’s book Predictive Analytics from 2013. The listed applications fall under the following domains:

marketing, advertising, and the web;

financial risk and insurance;

health care;

crime fighting and fraud detection;

fault detection for safety and efficiency;

government, politics, nonprofit and education;

human-language understanding, thought and psychology;

staff and employees, human resources.

Siegel’s cross-industry collection of examples is a powerful illustration of the omnipresence of predictive applications, even though not all of his 147 examples utilise machine learning as we know it. However, for a designer, knowing whether your problem domain is among the nine listed will give an idea of whether machine learning has already proven to be useful or whether you are facing a great unknown.

Answer 2

Answer:

hey frnd ur answer is here

1. Machines makes our work easy

2. Machines makes our work less time consuming.

3. Machine reduces our effort.

4.Machines uses electricity to run.

Hope it helps

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