Answer:
Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is
Explanation:
The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."
This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.
Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.
And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters
Answer:
Select "flight number", origin, destination, format(fl_orig_time, 'HH:mm' ) as "Departure Time", format(fl_dest_time, 'HH:mm') as "Arrival Time" from table_name order by flight_number
Explanation:
The script is used to select records from the table named 'table_name' and formatted to 24hr time format with the hour in capital letters (signifying 24 hrs). Then the inverted comma used for flight number is due to the space character ebtween the two words. In a select statement, order by comes after the table name. While as is used as an alias for a column in a table.
Answer:
The maximum value that are represented as unsigned n -bit binary integer is 
. The unsigned binary integer refers to the fixed point of the system that does not contain any fractional digits.
The unsigned binary integer contain module system with the power 2. The number of student table in the class is the best example of the unsigned integer. The numbers can be represented by using the binary notation and bits in the computer system.
Answer:
Uh I don't understand what you said.
Explanation:
N/A
def dx(fn, x, delta=0.001):
return (fn(x+delta) - fn(x))/delta
def solve(fn, value, x=0.5, maxtries=1000, maxerr=0.00001):
for tries in xrange(maxtries):
err = fn(x) - value
if abs(err) < maxerr:
return x
slope = dx(fn, x)
x -= err/slope
raise ValueError('no solution found')
