Intro#
Install and import feedback gadget#
Show code cell source
# @title Install and import feedback gadget
!pip install vibecheck datatops --quiet
from vibecheck import DatatopsContentReviewContainer
def content_review(notebook_section: str):
return DatatopsContentReviewContainer(
"", # No text prompt
notebook_section,
{
"url": "https://pmyvdlilci.execute-api.us-east-1.amazonaws.com/klab",
"name": "neuromatch_neuroai",
"user_key": "wb2cxze8",
},
).render()
feedback_prefix = "W2D3_Intro"
Prerequisites#
Throughout this day, we will assume that you are familiar with a few key concepts:
Gradients
Expected values
Estimators with variance and bias
Multivariate Taylor series expansions
It may be a good idea to ensure that you are comfortable with these concepts before advancing to the main tutorial content!
Video#
Intro Video#
Submit your feedback#
Show code cell source
# @title Submit your feedback
content_review(f"{feedback_prefix}_intro_video")