WorksheetsDSA training part 1
Total questions: 8
Worksheet time: 6mins
Which of the following have we discussed as fundamentals of Data Science & Analytics?
Computer Science
Domain Knowledge
Statistics
Scientific Method
What does it mean when a data science model has been trained?
The computer has learned the best possible relation between the input data and the output data.
The computer knows.
The selected parameters/settings minimize the errors the model makes on the test data.
The selected model parameters/settings have minimized the errors the model makes on the training data.
How many AI winters have we had?
0
1
2
3
Which of the following is not a reason why Data Science & Analytics are popular again?
Global rise in scientists
The rise of big data
Improved Data Science & Analytics techniques
Available Infrastructure & Platform Tools
Select the levels of analytics in the right order of increased complexity/value from low to high.
Diagnostic, Descriptive, Predictive, Prescriptive
Descriptive, Diagnostic, Predictive, Prescriptive
Descriptive, Diagnostic, Prescriptive, Predictive
Diagnostic, Descriptive, Prescriptive, Predictive
With respect to new developments, what does the abbreviation GAN stand for?
(a)
Select the limitations of deep-learning.
It is expensive (Electricity/equipment)
Specialist knowledge is required
It is hard to understand the final outcome
You need to collect large amounts of data
What are some pitfalls of the democratization of data science?
Data is valuable and needs gatekeeping (Ensure proper Privacy & Security)
Data is often improperly used or interpreted (Ensure proper domain knowledge)
There is not enough documentation available for the tools.
Bringing a system to production is much harder than a demo (Ensure proper development)
