Answer:
result = 0
i = lo
while i <= hi:
result = result + i
i += 1
Explanation:
Initialize the <em>result</em> as 0 to hold the summation value.
Since we are asked not to change the value of <em>lo</em> and <em>hi</em>, our loop control variable is <em>i</em> and initially it starts from <em>lo.</em>
Since we are asked to add the number from <em>lo</em> to <em>hi, </em>while loop condition checks it.
While the condition satisfies (during each iteration), the value of <em>i</em> is added to the result and the value of <em>i</em> is incremented by one.
Answer:
I think it was about cheaper ads on Instagram and how they are lowering their prices.
Explanation:
Answer:We start each project to get some business benefits. We design it to achieve users and other stakeholder’s satisfaction. And we build it to improve organization KPIs. But, we live in a world where the project faces many uncertainties. These uncertainties or risks can prevent from achieving our project goals or objectives. So, it is critical that we identify them in time to take care of their effective responses.
The more we know our risks, the more we can evaluate and prioritize them timely for:
Reducing their probable negative impacts, or
Increase their likely positive impacts
We can use Qualitative Risk Analysis and Quantitative Risk Analysis techniques to evaluate and prioritize risks. I see there are a lot of confusions around how these two techniques are different from each other. In this blog, I will address these confusions and differences between these two techniques.
Before we get into the difference between qualitative and quantitative risk analysis/assessment, it is mandatory to understand how we perform risk analysis in projects. Below is the summarized demonstration of the risk analysis:
Explanation:
Answer: ....
Big Data
Explanation:
Big Data Technology can be defined as a Software-Utility that is designed to Extract,Analyse and Process the information from an extremely complex and large data sets which the Traditional Data Processing Software could never deal with. Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.
Predictive analytics assists enterprises in identifying future opportunities and likely risks by distinguishing specific patterns over the historical data. In general, prescriptive analytics is a predictive analytics which prescribes one or more courses of actions and shows the likely outcome/influence of each action.