Yue Qin

Zhejiang University, Master of Physical Oceanography, Machine learning

[Steven Brunton @eigensteve]

I Wrote a New Book!!!

Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control

Pre-Order Now (July 31)
https://t.co/EoDMFapUUf

Coming Soon:

* Free PDF on website
* YouTube Videos for entire book
* Python code on GitHub

[Yue Qin @fullhey2]

@RoyalMailHelp i have dm you but haven't got your response

[Yue Qin @fullhey2]

@RoyalMailHelp

[Yue Qin @fullhey2]

@RoyalMailHelp When will i get a response?@RoyalMailHelp

[Yue Qin @fullhey2]

@RoyalMailHelp @RoyalMailHelp

[Razia Aliani @RaziaAliani]

Read this paper to know how to 'actually' read a paper!
I've highlighted the key points -> now this 10 min read of 3-pass apprach will change your paper reading technique for good!

𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀:

— First Pass (5-10 minutes)
Quick scan for bird's-eye view

— Second Pass (up to 1 hour)
Read with greater care

—>> Third Pass below ⬇️

💬 𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗽𝗮𝗽𝗲𝗿𝘀?

1/2

[Abhishek🌱 @Abhishekcur]

here's the article: https://t.co/gKs4w0h4YL

[Xiaoxu Tian @xiaoxu_tian]

ML weather models like GraphCast & NeuralGCM show promise in weather forecasting, but can they be used for data assimilation? Our study looks into their tangent linear & adjoint models, finding challenges in robustness & unphysical noise. 🌦️ #AI #NWP
https://t.co/0Hexm6dfSq

[Mushtaq Bilal, PhD @MushtaqBilalPhD]

Finding relevant papers for literature review takes a lot of time.

So, MIT researchers built Undermind, an AI-powered search engine.

It can generate well-researched overviews on any topic and is 10-50 times better than Google Scholar.

Here's how to use it:

[Michael Pyrcz🌻 @GeostatsGuy]

Many students have trouble understanding #Bayesian #MachineLearning, to help them I coded up Bayesian linear regression with MCMC to sample the posterior from scratch. Then I built out this interactive #Python dashboard with @matplotlib.

Vary the number of MCMC samples and watch the transition from burn-in to equilibrium chain. Try it out on #GitHub @ https://t.co/K4L8GjQwOU ∀.

[Patrick Kidger @PatrickKidger]

For those chasing down this rabbithole, I wrote a 'learn JAX as a PyTorch developer' guide a while ago: https://t.co/4Am4rvugsq

If that's helpful :)

[Mushtaq Bilal, PhD @MushtaqBilalPhD]

Limitation of Google Scholar: You can only look up articles with keywords. It doesn't work if you paste a sentence or a paragraph.

Sourcely is an AI-powered app that lets you look up papers using whole paragraphs.

Here's how to use it:

[Patrick Kidger @PatrickKidger]

💫Fellow scientific computing geeks, here is an example of adaptive mesh refinement in #JAX:

https://t.co/QOp1xW8I3S

I recently heard a claim that this was impossible in JAX due to its lack of dynamic shapes, and decided to prove the naysayers wrong 😄

[Dr Adam M Sykulski @ASykulski]

Looking for a stats or applied maths PhD? There are 2 great PhD programmes at Imperial that are currently welcoming applications: "Mathematics for our Future Climate" and "Statistics and Machine Learning." Find out more here!...
https://t.co/GXjs37BAPc
https://t.co/dHzTAdzeLn

[Saurabh Kumar @drummatick]

> Linear Algebra by Prof Gilbert Strang
> Probability Theory Prof John Tsitsiklis
> Information Theory by David Mackay
> Optimization theory by Stanford University
> Machine learning by Andrew NG(Stanford course)

This is all you need to master ML. Coursework + assignments + course projects and you’ll be better than most people at ML.

[Anita Devineni @BrainsExplained]

As we're heading into PhD application season, I wrote a post with advice for applying to grad school, drawing from my experience on admissions committees.

Please share with any aspiring PhD students that you know! https://t.co/tthKWX8sNp

[Jason J. Bramburger @jbramburger7]

I'm starting a lecture series on partial differential equations which will run over the next few months. Join me!
https://t.co/nJp9KkknkY

[Yue Qin @fullhey2]

Good news: I got my first certificate of reviewing!😆
Bad news: I rejected that manuscript.😅

[NANO Network @NANO4Ocean]

#OceanOpportunities 25 PhD positions at the Alfred Wegener Institute https://t.co/qX5lpLHW1t

[Ben Moseley @benm_oseley]

We just released our ETH Zürich AI in the Sciences and Engineering Master’s course on YouTube! 📚

Prof. Siddhartha Mishra and I explain PINNs, neural operators, foundation models, neural PDEs, diffusion models, symbolic regression, and more! #AI4Science
https://t.co/bY26K9j16t