

Data Science Interviews
1.48MB. 0 audio & 27 images. Updated 2020-09-29.
Description
Sample (from 117 notes)
Cards are customizable!
When this deck is imported into the desktop program, cards will appear
as
the deck author has made them. If you'd like to customize what appears
on
the front and back of a card, you can do so by clicking the Edit
button, and
then clicking the Cards button.
Front | Explain bagging |
Back | Bootstrap aggregatingTrain multiple models on subsamples and average predictions to reduce variance.Usually uses "strong," low-bias models.
![]() |
Ref | https://en.wikipedia.org/wiki/Bootstrap_aggregating |
Credit | https://en.wikipedia.org/wiki/Bootstrap_aggregating |
Tags | high-level |
Front | How does an artificial neuron (perceptron) work? |
Back | Applies an activation function to the weighted sum of its inputs.\[ y = f \left( \textstyle \sum w_i x_i \right) \]Common activation functions are linear, step, sigmoid, tangent, rectified linear...
![]() |
Ref | https://en.wikipedia.org/wiki/Perceptron |
Credit | http://www.theprojectspot.com/tutorial-post/introduction-to-artificial-neural-networks-part-1/7 |
Tags | high-level |
Front | How do decision trees work, high-level? |
Back | Recursively split the data into groups based on most discriminating feature; each leaf gives a prediction.
|
Ref | https://victorzhou.com/blog/intro-to-random-forests/ |
Credit | https://victorzhou.com/blog/intro-to-random-forests/ |
Tags | high-level |
After the file is downloaded, double-click on it to open it in the desktop program.
At this time, it is not possible to add shared decks directly to your AnkiWeb account - they need to be added from the desktop then synchronized to AnkiWeb.
Reviews

good!

Basic concepts to go.

Looks good

Amazing!

Thorough

Good

Neat.

Merci

thanks

Clear and concise questions and answers.

Nice deck. Covers main concepts!

Using it a lot! Thanks

Good!

Thank you

Awesome

Exactly what I was looking for!

Thank you! Good job!

Thanks a lot!

quite a comprehensive deck, with some subtle questions