Intro¶

Install and import feedback gadget¶

# @title Install and import feedback gadget

from os import environ as env
if any(var in env for var in ["COLAB_RELEASE_TAG", "KAGGLE_KERNEL_RUN_TYPE"]):
    %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

Youtube

Bilibili

Slides¶

Download slides