// Databricks notebook source exported at Sat, 18 Jun 2016 23:27:13 UTC

Scalable Data Science

prepared by Raazesh Sainudiin and Sivanand Sivaram

supported by and

The html source url of this databricks notebook and its recorded Uji Image of Uji, Dogen's Time-Being:

sds/uji/week5/10_LinearRegressionIntro/018_LinRegIntro

Let us visit an interactive visual cognitive tool for the basics ideas in linear regression:

The following video is a very concise and thorough treatment of linear regression for those who have taken the 200-level linear algebra. Others can fully understand it with some effort and revisiting.

Linear Regression by Ameet Talwalkar in BerkeleyX: CS190.1x Scalable Machine Learning

(watch now 11:13):

Linear Regression by Ameet Talwalkar in BerkeleyX: CS190.1x Scalable Machine Learning

Ridge regression has a Bayesian interpretation where the weights have a zero-mean Gaussian prior. See 7.5 in Murphy’s Machine Learning: A Probabilistic Perspective for details.

Please take notes in mark-down if you want.

For latex math within markdown you can do the following for in-line maths: \(\mathbf{A}_{i,j} \in \mathbb{R}^1\). And to write maths in display mode do the following:

\[\mathbf{A} \in \mathbb{R}^{m \times d}\]

You will need to write such notes for your final project presentation!

MillonSongs Ridge Regression by Ameet Talwalkar in BerkeleyX: CS190.1x Scalable Machine Learning

(watch later 7:47):

Linear Regression by Ameet Talwalkar in BerkeleyX: CS190.1x Scalable Machine Learning

Covers the training, test and validation and grid search… ridger regression…

Take your own notes if you like.

Gradient Descent by Ameet Talwalkar in BerkeleyX: CS190.1x Scalable Machine Learning

(watch now 11:19):

Gradient Descent by Ameet Talwalkar in BerkeleyX: CS190.1x Scalable Machine Learning

Please take notes if you want to.

Scalable Data Science

prepared by Raazesh Sainudiin and Sivanand Sivaram

supported by and

Updated: