Lecture 1: Probability and Counting | Statistics 110

Why HN readers recommended it

Recommended on Ask HN threads as a high-quality free probability course for relearning math or building an ML foundation.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel

Harvard University

Topic

probability

Format

lecture

Level

intro

HN recommenders in dataset

3

HN mentions in dataset

3

Recommendation years in dataset

2017–2018

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

• Here are some excellent YouTube playlists for the subjects you mentioned. I have used and can vouch for the high quality of all of them: Linear Algebra: [LINK] Probability: [VIDEO] Calculus: [LINK] Be sure to work through problems and not just watch lectures, because otherwise …

• This is kind of a masters degree course i created for myself to get knowledge of Machine Learning from bottoms up First, you need a strong mathematical base. Otherwise, you can copy paste an algorithm or use an API but you will not get any …

• I recommend "Introduction to Probability" by Joseph K Blitzstein and Jessica Hwang. This book is tough. Really tough. However, you are really going to do "deliberate practice" while having a go on the assignments. It bothers me that the author does not provide the answer …