Type the AI and Machine Learning course names or numbers that you have taken and the semester and year. Format them as a bulleted list, as shown. if you have taken relevant courses at other colleges, describe them here.
For example:
Have you used jupyter notebooks before? If yes, please briefly describe what you used them for.
<type your answer here>Which editor do you like to use for writing python code?
<type your answer here>Edit the following list by deleting python packages that you have not used. Add others with which you are familiar.
Complete the following Latex expressions for the derivatives of functions $g$, $h$, and $k$ with respect to $x$.
$$ \begin{align*} f(x) &= x^2 \\ \frac{\partial f(x)}{\partial x} &= 2x \\ ~ \\ g(x) &= \frac{1}{1 + e^{-ax}}\\ \frac{\partial g(x)}{\partial x} &= \text{<replace with your answer>} \\ ~ \\ h(x) &= \tanh(42 x)\\ \frac{\partial h(x)}{\partial x} &= \text{<replace with your answer>} \\ ~ \\ k(x) &= (t - \tanh(z x))^2\\ \frac{\partial k(x)}{\partial x} &= \text{<replace with your answer>} \end{align*} $$Add a code cell and in it type python statements to define the two matrices, $A$ and $B$, as numpy arrays, print them, and print their shapes.
Add another code cell here and write python statements to multiply $A$ and $B$ and print the answer.
Add a code cell and write python statements that show $$ (A B)^T = B^T A^T$$
In another code cell, define a numpy array in variable $x$ of 20 values equally spaced from $-10$ to 10 using np.linspace. Then plot $\tanh(x)$ versus $x$ using the matplotlib package.
The following code cell defines a list of integers. Write one line of python that uses a list comprehension to square each value of the original list.
x = [1, 5, 15, 3, -42]
x_squared =
x, x_squared
In another code cell, use np.stack and the transpose operator to combine x and x_squared into one numpy array of two columns with the first value in each row from x and the second value in the same row the value of x squared. Display the result.
In another code cell, make a plot of x_squared values versus x values, using the 'o' style.
How many hours did it take you to complete this quiz?
<type your answer here>When you are done, save this notebook and submit it through our course Canvas webpage.