Answer:
Walmart has caught my attention many times, and definitely when I was reading a case study on it recently. The data that they have collected is from all over the world, and probably the most well planned as it originates from some very high level and good analytics, awesome queries and various other heterogeneous sources. And they have a very unique way of using this data. Being an Engineer however myself, I have studied Data warehousing and Data mining in detail as well as Machine learning. And Walmart first collects the data using Data warehousing, and then it cleans it using the statistics, artificial intelligence, machine learning and statistics, and finally makes a model using the machine learning. They call it all together Data science, and the collected data is being termed as big data, and it has all typos of data which includes images, text, video, sound, animations, and all. Apart from Walmart, you can think of all the social media sites, e-commerce sites, and a lot more. All are using the data warehousing, data mining and Machine learning all together.
Explanation:
The answer is self explanatory.
Answer:
Explanation:Risk management is the decision-making process involving considerations of political, social, economic and engineering factors with relevant risk assessments relating to a potential hazard so as to develop, analyze and compare regulatory options and to select the optimal regulatory response for safety from that hazard.
The correct answer for the question that is being presented above is this one: "D. Symbol 1 represents a transistor, symbol 2 represents a diode, symbol 3 represents a resistor, and symbol 4 represents a lightbulb." <span>Each of the symbols is labeled with a number. </span>
Answer:
Be sticky or not slippery
Explanation:
