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Hamming, "n-Dimensional Space" (April 14, 1995)

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  • Recommended by 3 people: 3 on Hacker News.
  • Presented by Richard Hamming, mathematician and computer scientist
  • May be out of date. Uploaded 14 years ago, in an area where tools change fast.

Advanced. Deep dive for people who know the field.

13K views14 years ago3 recommendations

Computer scienceAI and machine learningMath for programmersComputation and complexity

Richard Hamming explains how geometric intuition about spheres and cubes breaks down in high-dimensional spaces.

Intro: When I became a professor, after 30 years of active research at Bell Telephone Laboratories, mainly in the math research department, I recalled that professors are supposed to think and digest past experiences. So I put my feet up on the desk and began to consider my past. In the early years I had been mainly in computing so naturally I was involved in many large projects that required computing. Thinking about how things worked out on several of the large engineering systems I was partially involved in, I began, now that I had some distance from them, to see that they had some common elements. Slowly I began to realize that the design problems all took place in a space of n-dimensions, where n is the number of independent parameters. Yes, we build three dimensional objects, but their design is in a high dimensional space, one dimension for each design parameter. The Art of Doing Science and Engineering: Learning to Learn" was the capstone course by Dr. Richard W. Hamming (1915-1998) for graduate students at the Naval Postgraduate School (NPS) in Monterey California. This course is intended to instill a "style of thinking" that will enhance one's ability to function as a problem solver of complex technical issues. With respect, students sometimes called the course "Hamming on Hamming" because he relates many research collaborations, discoveries, inventions and achievements of his own. This collection of stories and carefully distilled insights relates how those discoveries came about. Most importantly, these presentations provide objective analysis about the thought processes and reasoning that took place as Dr. Hamming, his associates and other major thinkers, in computer science and electronics, progressed through the grand challenges of science and engineering in the twentieth century.

Why it's here

3 people recommend this

What people say. Highly recommended for its mind-bending explanation of high-dimensional geometry and how human intuition fails in higher dimensions.

Moments people linked to

bgnnon Hacker News • Recommends

On “How does cosine similarity work?”

One cannot intuitively think about higher than 3 dimensions. Even for most their intuition is often wrong in 3D space. It's quite accurate for 1D and 2D. Richard Hamming has a whole section lecture to make everyone realize precisely this 1. This was an eye opener to me. link to this video

it_does_followon Hacker News • Recommends

On “A high-dimensional sphere spilling out of a high-dimensional cube”

To add to this list: Richard Hamming includes a section on this in his n-dimensional spaces talk from "The Art of Doing Science and Engineering" lectures 0. Stripe Press also recently re-published a beautiful copy of the print version of these lectures 1. 0. link to this video 1. link

time_to_smileon Hacker News • Recommends

On “Counterintuitive Properties of High Dimensional Space”

A good chunk of this comes directly from Richard Hamming's incredible The Art of doing Science and Engineering (a video of the specific lecture on n-dimensional spaces can be found here0) and yet I see no mention of this talk anywhere in the article, which is unfortunate. I highly recommend checking out Hamming's lectures if you find this enjoyable. 0. link to this video

u/stevenxdavisin r/compsci • Mentions

On “Richard Hamming - The Art of Doing Science and Engineering: Learning to Learn”

Richard Hamming was a mathematician and computer scientist who is generally regarded as the founder of coding theory. He taught this capstone course at the MOVES Institute at the U.S. Naval Postgraduate School for several years, based on his experiences at Los Alamos and Bell Labs. He teaches some class sessions on computing and some on how to have a successful career in computer science and engineering (even referencing the year 2020 at times). The video I find most interesting is on n-Dimensional Space and how different it is from human intuition. If nothing else, it's fascinating to hear how the field changed from when he started in 1942 to when he was teaching in 1995. He died at age…
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