Answer:
1) R<u>easoning</u>
<u>2)Nonverbal</u>
<u>3)Generating solutions.</u>
<u>4)Decision making</u>.
<u>--------------------------------------</u>
Robert is reviewing complex information and data concerning a new product launch to determine the cause of some product failures. He is primarily using <u>reasoning</u> skills.
Reasoning through a problem requires an understanding between verbal and <u>nonverbal</u> ideas.
When you use reasoning skills and past experience to brainstorm ideas you are <u>generating solutions.</u>
When you narrow down solution ideas, then select the best one, you are engaging in <u>decision making</u>.
<u>OAmalOHopeO</u>
Answer: given in the explanation
Explanation:
Data mining is referred as an automated processing tool used for sorting and analyzing enormous data and information which indeed are ``aimed towards effectively identifying trends and patterns and establishing relationships to solve business problems and generate new opportunities. Furthermore data mining techniques also helps to predict what’s going to happen in the future and act accordingly to take benefit of forthcoming tendencies.
Data mining is applied to a variety of large-scale data-processing activities such as collecting, extracting, warehousing and analyzing data. It also includes decision-support applications and technologies such as business artificial intelligence and machine learning and is used in varied areas of business research such as product development, sales and marketing etc.
Data mining is for taking advantage of data to predict
;
- Mathematical algorithms, and, data are used for predictive analytics. One can capture information, and, use it to model sales pattern, trends, and, customer behaviour
- Data mining uses algorithms to extract, and, analyze information; discover hidden patterns
- It uses data patterns, and, is thus closely tied to machine learning
- Historical & current information is used to predict future trends
Data mining can be used for the following:
- Data mining in gas & oil operations - Mining data in gas & oil operations involves committing to key technologies, and, processes; and, embracing new ways of thinking & problem-solving. Firms can use exploratory data analysis, modelling techniques & model development; approaches to put models into production
- Big data - Performance computing & advanced analytics
- Magic Quadrant - Evaluate 16 vendors to identify the right ones
- Heavy reading, network analytics - Optimize network; evaluate network performance; provide targeted marketing; fine-tune capacity.
Answer:
Explanation:
Crew members need to remember that blowout prevention equipment is heavy any very unforgiving. Working around BOPs (nippling up or down, ram replacement, etc.) puts workers in a high hazard area. All personnel involved in the operation must be fully alert and knowledgeable in their tasks. All crew members should participate in the Pre-Job Safety meeting. Communications are critical in this operation and all personnel should be aware of the signals to be used.
Answer:
The answer to this question is "Servlet".
Explanation:
In the above question, the correct answer is servlet because In java a set of pages that are generated by the response of the user is required the web application. In java programming language we did the backed coding like (Desktop GUI Applications, Embedded Systems, Web Applications, Web Server and Applications Server).
