False u would figure out yourself if it's good or bad
Answer:
machine learning is the ability for computers to develop new skills and algorithms without specific instructions to do so.
Answer: data
Explanation:
Data refers to symbols or numbers that aren't meaningful. It's an an individual unit which consists of raw materials. Data hato be interpreted in order to become meaningful. They are fact or figures. Examples of data include 24, London, 144 etc.
Information on the other hand is a data that has been processed. e.g. Bob has an aggregate score of 144. Based on the question given, the number 144 is a data as it isn't meaningful yet.
Answer:
The answer is "The program can also be expressed as a binary code, but it is easier for people to understand when it is expressed in a higher programming language".
Explanation:
In the given question some details are missing that is options of the question that can be given as follows:
A. The program can also be expressed as a binary code, but it is easier for people to understand when it is expressed in a higher programming language.
B. The program can also be represented as a binary code that reduces the likelihood of errors.
C. Binary code can not be used for binary code, because binary code can only represent data.
D. Some parts of the program, however, should be printed in a higher-level language for the operation.
The computer knows the only binary language, It is a form of 0 and 1, but this language can't be understood by the user. It will convert into high-level language, that is understood by the user, that's why this option is correct. In which accepts of option A, all options are wrong that can be described as follows:
- In option B, It is wrong, because the user may not understand binary language, and he can also be writing some wrong code that is converted in binary code, that will increase error.
- In option C and option D, is incorrect because all the data that is stored in the computer is in the form of binary code.
Answer:
(b). dependency and hedging.
Explanation:
In the management of risk, four common approaches for reducing risk are;
i. <em>Avoidance</em>: Especially if a risk involved in the management of a resource (or project) poses or presents a negative consequence, the best way to manage the risk simply avoid it by making sure it doesn't happen. This can be by cancelling a project or restructuring it.
ii. <em>Adaptation</em>: Another way of managing the risk associated with a resource (human or non-human resource) is to control the risk either by increasing resilience or reducing vulnerability. This is called adaptation.
iii. <em>Dependency: </em>This means accepting the risk since every project or business has inherently in it some risk associated. Dealing with it might be a way out especially knowing that there might be some experience to be gained in order to tackle similar situation in the future.
iv. <em>Hedging: </em>This means transferring the risk to some other business or organization. An example might be to get an insurance to manage this risk. In this case, the risk is transferred to the insurance company.
