windsignaling

What? I was around back then. Chrome/Chromium was awesome because we finally had something significantly better than IE.

Looking at the top comment about Google right now. Big difference between "their products/processes suck" vs. "these people and their companies and government are an insidious evil".

Ah, the ol' gaslighting you into thinking you're gaslighting me trick.

I always wonder who these weirdos are that look at commenters' past comments to try and deduce some fact and "win" their argument. More common on Reddit, but still exists here. Basement dweller-level weird either way.

"226 karma in 10 years." - What does that even mean to you? Should I be posting more? Does my behavior not align with your list accepted human behaviors for a non-Chinese?

The ridiculousness of your post shows how far the anti-China bias goes with you people.

> There's a search bar at the bottom of the page.

The dishonesty here is coming from you. You're assuming something exists. I'm saying show me. If it's so easy to find, wouldn't it be way easier to simply put this definitive proof in my face instead of this weird roundabout argument you're trying to make?

AI doesn't have a business function...?

I never really understood this sentiment. Some foreign company / government cannot do anything to me. My own government, on the other hand...

There is clearly an anti-China bias here. Show me comments demonstrating the same level of distrust against Google for open-sourcing projects like Tensorflow, Kubernetes, Flutter, Chromium, etc.

How legit is this? In my experience, every time I've updated iOS due to some urgent "security issue", the result was my phone just got a whole lot slower.

I'm surprised no one else has commented that a few of the conceptual comments in this article are a bit odd or just wrong.

> The final accuracy is 90% because 1 of the 10 observations is on the incorrect side of the decision boundary.

Who is using K-means for classification? If you have labels, then a supervised algorithm seems like a more appropriate choice.

> K-means clustering is a recursive algorithm

It is?

> If we know that the distributions are Gaussian, which is very frequently the case in machine learning

It is?

> we can employ a more powerful algorithm: Expectation Maximization (EM)

K-means is already an instance of the EM algorithm.

On the contrary, I'm confused about why you're confused.

This is a well-known and documented phenomenon - the paradox of choice.

I've been working in machine learning and AI for nearly 20 years and the number of options out there is overwhelming.

I've found many of the tools out there do some things I want, but not others, so even finding the model or platform that does exactly what I want or does it the best is a time-consuming process.

I don't pay money for it?

Not just lately. See /r/politics. Sometime in the last 5-7 years /r/science or /r/technology (or both, I forget because I stopped reading) basically became the science/tech versions of /r/politics.

I think you missed the point of that comment. I was responding to the comment saying "Parameter estimation is ML now?"

Neural networks are trained commonly using maximum likelihood estimation, a common parameter estimation technique.

I haven't installed this yet, but does it require camera access? i.e. does it "transform" your own image to the target image while maintaining facial expression, pose, etc.? Based on the animations, I'd assume it doesn't use the camera since there are techniques that can lipsync from audio.