The product of the data scientist, who writes a Machine Learning (ML) algorithm using a large data set, is called a data-driven model.
A data-driven model generates insights and increases the efficiency of decision-making.
This implies that decisions are made based on the insights that the model by the Machine Learning algorithm produces.
Thus, Machine Learning algorithm or code helps entities to make insightful business decisions to increase efficiency and effectiveness.
Learn more about Machine Learning here at brainly.com/question/23738591
Answer: $1,500
Explanation:
The future value of value using simple interest is:
Future value = Value * ( 1 + rate * time)
2,400 = Value * (1 + 15% * 4)
2,400 = Value * 1.6
Value = 2,400 / 1.6
Value = $1,500
<span>BCD only goes from digit 0 (0000) to digit 9 (1001), because for 10 you need two digits, so all you've got to do is make a function that produces high for numbers from 10 (1010) to 15 (1111) as follows:
A3 A2 A1 A0 F
0 0 0 0 0
0 0 0 1 0
0 0 1 0 0
...........................
1 0 0 0 0
1 0 1 0 1
1 0 1 1 1
1 1 0 0 1
1 1 0 1 1
1 1 1 0 1
1 1 1 1 1
Then simplify the function:
F = A3*A2 + A3*A1
Finally just draw or connect the circuit using NAND</span>
For example when there is research on how many people shoplift in a shopping centre per week. These numbers could show a increase in the number of shoplifters per week.
Answer:
Step 1 : Create an Indicator Variable for metro cities using formula mentioned in formula bar.
Step 2: Filter the Data on Metro cities i.e. select only those cities with Metro Indicator 1.
Step 3: Paste this filtered data to a new sheet.
Step 4: Go to Data - Data Analysis - Regression
Step 5: Enter the range of Y-variable and X-variable as shown. Select Output range and click on residuals. It will give you Output Summary and the Predicted Values along with Residuals
Please see attachment