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WorksheetsAI Tech Trainee Module 1
Total questions: 11
Worksheet time: 6mins
Which of the following factor(s) contributed to the recent boost in AI technology ?
Improved computing power
Invention of new statistical methods
Big data
Bill Gates‘ 50 bn investment into tech start-ups
Which statement is true?
Machine Learning can replace Artificial Neural Networks in future
AI is machine learning programmed by a computer
A Machine Learning model is trained based on prior data
Supervised ML is applied when clustering unstructured data
Object detection in images is typically done by... (1 answer)
calculating correlation of pixels
Identifying pre-trained concepts using a neural network
Determining distance of objects to the frame of the image
Replacing colored pixels with ordinal variables
Input to your model is a series of temperatures in °C in last 365 days. What level of measurement is that variable?
Ratio
Nominal values
Interval
Continuous, ordinal number
Which of the following values are possibly correlation coefficients ?
- 0.5
0.1
1.1
0.2536542
The correlation coefficient is 0. This means there is no relationship between the two variables.
True
False
Which are the foremost used programming languages for doing machine learning?
R
JavaScript
SQL
Python
What are python libraries?
Sub-programs that allow Python to communicate with different operating systems
Pieces of documentation on how to use different Python modules
Sets of useful functions or chunks of code that you can reuse
Modules that allow you to integrate IDEs in your work
Which of the following Python libraries are commonly used in data science?
Pandas
NumPy
Matplotlib
Scikit-learn
Which steps are typically a part of an EDA?
Check all that apply.
Missing data analysis
Hypothesis testing
Calculating descriptive statistics
Dimensionality reduction
You have a variable for which 40% of the values are missing. What is the worst option for dealing with that variable ?
Drop all rows from the data frame that is missing data
Impute the missing values using mean
Replace missing values with median of available values
Apply a linear regression
