HackerTube
HomeLongsLikedHistoryWatch laterCategoriesPlaylistsSettings

The Map of Mathematics

Domain of Science4 HN recommenders · recommended in 5 months, 2018-2022
YouTube
16.3M views · 9 years ago · explainer · evergreen

An animated 11-minute tour of the whole field of mathematics as a single map, showing how pure and applied math and their sub-fields relate to each other.

Recommended to people asking how to self-learn math as a quick bird's-eye overview of the field.

Recreational & visual mathPure mathematics#mathematics#mapofmath#self-learning#puremath#appliedmath

8 comments from Hacker News

@lcordier2022 · in “Ask HN: How to learn math from zero for adults?”

This is a good map of Mathematics to get an overview of where you can go... ▶ this video Then Giles McMullen-Klein has an awesome recommended list for data science (your mileage may vary). link

RecommendsView on HN
@lamename2021 · in “A Map of Mathematics”

The educational youtube channel Domain of Science has a pretty wide-scope Map of Mathematics, depending on your background ▶ this video

CitesView on HN
@mathnmusic2020 · in “Why books don't work (2019)”

> shift this burden to the medium This is beautifully expressed. Knowledge consists of connections across concepts but those connections are rarely shown explicitly in textbooks. Even wikipedia, while allowing you to traverse the connections back and forth easily, does not do a great job of giving you the bird's eye view of a subject or a field. Check out this "map" of mathematics: ▶ this video Every subject needs a similar map. Besides visualizing the connections, we'd also need interactivity to the topic that helps with forming new mental models - which is the core aspect of learning. Jupyter notebooks, ObservableHQ, Mathigon are some of the good projects working on this aspect. Disclaimer: I am building the open-source project link which is attempting to build the complete map of knowledge/skills. So I too am biased against books and in favor of digital/interactive tools.

RecommendsView on HN
@AareyBaba2020 · in “A Map of Mathematics”

This is a much more entertaining map of mathematics in about 10 minutes ▶ this video For a history of mathematics NJ Wildberger's lectures are easy to listen to. link

RecommendsView on HN
@AareyBaba2019 · in “Ask HN: Are there books for mathematics like Feynman's lectures on physics?”

I suggest this "Map of mathematics" as a starting point that gives you a reasonable birds-eye view of the field. ▶ this video

RecommendsView on HN
@sigi452018 · in “Berkeley offers its data science course online for free”

This is a general issue i have seen as well. We live in 2018 and there is no open source course for everything. Instead there are probably 10-30k universities who have similar courses and professors who give the same lecture every year. They get paid often enough by countries to create and do those courses. In germany most of our unversities are paid by all of us germans anyway. And what do you find online? Always the starter verion like 101 computer science or videos with bad audio or video, no proper exercises, no solution helper etc. Nothing. You have to go to different sites to sometimes pay or sometimes not. there are no local locations to meet up with people. There should be a global initiative for global free and open access learning. Sponsored and supported by companies and countries. Build upon a core of a knowledge graph based on topics or 'snippets of knowledge'. Like for example: math -> add -> sub Something like 'The Map of Mathematics' ( ▶ this video ) And when you wanna get the global accepted math 101 level, you have to take specific topics / snippets. And those snippets can than be filled with different people who are making a lecture for that topic and you can choose whom you like more or who is better in explaining it to you. What do i do instead? I ask around for the lecture scripts because they are always behind a simple password protected area or have multiple links to different pages of different universietses who offer different courses for free as videos f

CitesView on HN
@RossBencina2018 · in “Ask HN: How to self-learn math?”

I agree with other comments that "learn maths" is too broad. You can take a university degree in maths and still be just at the beginning of "learning maths." I recommend refining your goal somehow: perhaps to learn math related to certain applications that you're interested in, or learn math in a certain area (e.g. high-school algebra, geometry, probability, discrete math, graph theory, calculus, pure math, abstract algebra, topology, etc). If you have not mastered high-school algebra and other pre-calculus subjects, you should start there; most other maths subjects will assume that you know these things. Calculus takes up a lot of space in upper high-school and early university courses -- but if you're a developer there may be other subjects that are more immediately useful to you (e.g. discrete math, linear algebra). I set out to "learn maths" (that's verbatim what it says on my personal Kanban board). In the end I took some university classes. For me they provided the structure and teachers to help me learn. Also, there is a difference between having an idea about what some math-thing is, and being able to pass an 3 hour closed-book exam in that topic. I agree that Khan Academy is a good learning resource that will provide structure to your learning: link Purplemath is another good resource: link YouTube is full of videos of people running through problems on any conceivable topic. Definitely search there for help. Once you've worked your way through the high school p

CitesView on HN
@NiklasMort2018 · in “Ask HN: How to self-learn math?”

I'd start with this video to get an overview of all the topics and areas that mathematics entails (some might be unknown to you) ▶ this video . Then you go ahead and research a bit what sounds interesting to you and then you might google that topic and add "foundations" to that google search. It's just that most school/university math is heavily focused on analysis and algebra but there is so much more!

RecommendsView on HN
Fractals are typically not self-similar21:36

Fractals are typically not self-similar

3Blue1Brown
4.6M views • 9 years ago
The essence of calculus17:05

The essence of calculus

3Blue1Brown
11.9M views • 9 years ago
Times Tables, Mandelbrot and the Heart of Mathematics13:37

Times Tables, Mandelbrot and the Heart of Mathematics

Mathologer
2.8M views • 11 years ago
Four Dimensional Maths: Things to See and Hear in the Fourth Dimension - with Matt Parker1:01:40

Four Dimensional Maths: Things to See and Hear in the Fourth Dimension - with Matt Parker

The Royal Institution
3.1M views • 11 years ago
Category Theory in Life - Eugenia Cheng40:39

Category Theory in Life - Eugenia Cheng

Lambda World
113K views • 9 years ago
Pythagoras' theorem (a) | Math History | NJ Wildberger48:55

Pythagoras' theorem (a) | Math History | NJ Wildberger

Insights into Mathematics
517K views • 15 years ago
Essence of linear algebra preview5:09

Essence of linear algebra preview

3Blue1Brown
2.8M views • 10 years ago
Outside In21:25

Outside In

ssgelm
11.7M views • 15 years ago
A Swift Introduction to Geometric Algebra44:23

A Swift Introduction to Geometric Algebra

sudgylacmoe
1.1M views • 6 years ago
All the Numbers - Numberphile14:27

All the Numbers - Numberphile

Numberphile
1.8M views • 7 years ago
Thinking outside the 10-dimensional box25:13

Thinking outside the 10-dimensional box

3Blue1Brown
3.2M views • 9 years ago
Group theory, abstraction, and the 196,883-dimensional monster21:58

Group theory, abstraction, and the 196,883-dimensional monster

3Blue1Brown
3.8M views • 6 years ago
Strange Spheres in Higher Dimensions - Numberphile10:33

Strange Spheres in Higher Dimensions - Numberphile

Numberphile
767K views • 9 years ago
Visualizing the 4d numbers Quaternions31:51

Visualizing the 4d numbers Quaternions

3Blue1Brown
5.6M views • 8 years ago
Imaginary Numbers Are Real [Part 1: Introduction]5:47

Imaginary Numbers Are Real [Part 1: Introduction]

Welch Labs
8.6M views • 11 years ago
Hilbert's Curve: Is infinite math useful?18:18

Hilbert's Curve: Is infinite math useful?

3Blue1Brown
2.4M views • 9 years ago
P vs. NP and the Computational Complexity Zoo10:44

P vs. NP and the Computational Complexity Zoo

hackerdashery
3.7M views • 12 years ago
The Strange Math That Predicts (Almost) Anything32:32

The Strange Math That Predicts (Almost) Anything

Veritasium
13.1M views • 1 year ago
Vectors | Chapter 1, Essence of linear algebra9:52

Vectors | Chapter 1, Essence of linear algebra

3Blue1Brown
13M views • 10 years ago
Klein Bottles - Numberphile8:25

Klein Bottles - Numberphile

Numberphile
2.8M views • 11 years ago