2020 is a census year and we take fast, actionable data analytics for granted.
It wasn’t always easy or fast until the advent of a punchcards brought about by a competition.
YouTube channel standupmaths explains.
Eddie Woo explains survivor bias in this short video.
In honor or Pi Day, here is Calculus Rhapsody.
For Mathematics, trees are more useful than strings.
Professor Thorsten Altenkirch takes us through a functional approach to coding them in Python.
Why is it that we can see these multiple histories play out on the quantum scale, and why do lose sight of them on our macroscopic scale?
Many physicists believe that the answer lies in a process known as quantum decoherence.
Does conscious observation of a quantum system cause the wavefunction to collapse? The upshot is that more and more physicists think that consciousness – and even measurement – doesn’t directly cause wavefunction collapse.
In fact probably there IS no clear Heisenberg cut. The collapse itself may be an illusion, and the alternate histories that the wavefunction represents may continue forever. The question then becomes: why is it that we can see these multiple histories play out on the quantum scale, and why do lose sight of them on our macroscopic scale? Many physicists believe that the answer lies in a process known as quantum decoherence.
It’s not surprising that the profound weirdness of the quantum world has inspired some outlandish explanations – nor that these have strayed into the realm of what we might call mysticism.
One particularly pervasive notion is the idea that consciousness can directly influence quantum systems – and so influence reality.
PBS Space Time examines where this idea comes from, and whether quantum theory really supports it.
Socratica explores Abstract Algebra.
What is Abstract Algebra?
Abstract Algebra is very different than the algebra most people study in high school. This math subject focuses on abstract structures with names like groups, rings, fields and modules. These structures have applications in many areas of mathematics, and are being used more and more in the sciences, too
Siraj Raval just posted this video on defending AI against adversarial attacks
Machine Learning technology isn’t perfect, it’s vulnerable to many different types of attacks! In this episode, I’ll explain 2 common types of attacks and 2 common types of defenses using various code demos from across the Web. There’s some really dope mathematics involved with adversarial attacks, and it was a lot of fun reading about the ‘cat and mouse’ game between new attack techniques, followed by new defense techniques. I encourage anyone new to the field who finds this stuff interesting to learn more about it. I definitely plan to. Let’s look into some math, code, and examples. Enjoy!
Slideshow for this video:
https://colab.research.google.com/drive/19N9VWTukXTPUj9eukeie55XIu3HKR5TT
Demo project:
https://github.com/jaxball/advis.js
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