Christos Stamatis 🇺🇦 (@chris_stamatis) 's Twitter Profile
Christos Stamatis 🇺🇦

@chris_stamatis

Chemical Engineer, Data Science, Air Quality, Wildland Fires Science

ID: 967533300368601088

calendar_today24-02-2018 22:54:49

587 Tweet

180 Followers

840 Following

Santiago (@svpino) 's Twitter Profile Photo

The best linear algebra course out there. PERIOD. For Free! MIT's Professor Gilbert Strang. Go through these videos, and you'll never ever have a problem with linear algebra again! ocw.mit.edu/courses/18-06-…

The best linear algebra course out there. PERIOD.

For Free!

MIT's Professor Gilbert Strang. 

Go through these videos, and you'll never ever have a problem with linear algebra again!

ocw.mit.edu/courses/18-06-…
Santiago (@svpino) 's Twitter Profile Photo

A 1-hour course designed for absolute beginners: Introduction to Machine Learning Problem Framing. developers.google.com/machine-learni… This free course will help you identify opportunities to apply machine learning. A great introduction if you are ready to start!

A 1-hour course designed for absolute beginners:

Introduction to Machine Learning Problem Framing. 

developers.google.com/machine-learni…

This free course will help you identify opportunities to apply machine learning.

A great introduction if you are ready to start!
UC Davis Air Quality Research Center (@ucdavisaqrc) 's Twitter Profile Photo

We are excited to share Dr. Kelley Barsanti will be providing the #ACM2022 Keynote! Her topic will surround considerations of the multiple dimensions of complexity in #AtmosChem models. bit.ly/3RgqVX5 #AtmosphericChemistry #AtmosphericMechanisms #AtmosSci

We are excited to share Dr. <a href="/barsantikelley/">Kelley Barsanti</a> will be providing the #ACM2022 Keynote! Her topic will surround considerations of the multiple dimensions of complexity in #AtmosChem models. bit.ly/3RgqVX5
#AtmosphericChemistry #AtmosphericMechanisms  #AtmosSci
Joshua Starmer (@joshuastarmer) 's Twitter Profile Photo

I'll be the first to admit that my understanding of how to code neural networks is pretty spotty. So today I'm filling in the gaps with Sebastian Raschka's excellent book, Machine Learning with PyTorch and Scikit-Learn. #BAM p.s. Who's picture is on the cover?

I'll be the first to admit that my understanding of how to code neural networks is pretty spotty. So today I'm filling in the gaps with <a href="/rasbt/">Sebastian Raschka</a>'s excellent book, Machine Learning with PyTorch and Scikit-Learn. #BAM p.s. Who's picture is on the cover?
Tom Wilks (@tom_wilks) 's Twitter Profile Photo

Bohemian rhapsody for postdocs: Is this a real job? Or more like a PhD? Caught in short contracts No chance of stability Open your eyes Look up to PIs and see I'm just a postdoc I get no sympathy Because I'm easy come, easy go Stress is high Pay is low

Kareem Carr, Statistics Person (@kareem_carr) 's Twitter Profile Photo

Statistics is a frequently misunderstood field. Yet billion dollar decisions often ride on getting it right. THREAD: 6 myths about statistics explained in plain English:

Cam Crosby (@paratwisted) 's Twitter Profile Photo

9-18-22 Nocturnal Tornado Warned Supercell with striated Mesocyclone near Mt. Sterling IL transitioning to a more bow echo structure with brief areas of rotation W of Jacksonville IL. Something may have been down near Mt Sterling. Still reviewing. #ilwx NWS Lincoln IL

9-18-22 Nocturnal Tornado Warned Supercell with striated Mesocyclone near Mt. Sterling IL transitioning to a more bow echo structure with brief areas of rotation W of Jacksonville IL. Something may have been down near Mt Sterling. Still reviewing. #ilwx  <a href="/NWSLincolnIL/">NWS Lincoln IL</a>
Santiago (@svpino) 's Twitter Profile Photo

Building models is not the only way to get into machine learning. MLOps is probably one of the most important topics in the industry right now. "How to Scale Machine Learning in the Enterprise." Excellent book! Buy it here: amzn.to/37u6gdp

Building models is not the only way to get into machine learning.

MLOps is probably one of the most important topics in the industry right now.

"How to Scale Machine Learning in the Enterprise." Excellent book!

Buy it here: amzn.to/37u6gdp
Kareem Carr, Statistics Person (@kareem_carr) 's Twitter Profile Photo

Statistics does violence to human experience. There is a moral dimension to using it. It reduces our rich, diverse stories to pristine, bloodless observations. So, like a surgeon cutting into a patient, we must be careful to use the violence of statistics to do good.

Santiago (@svpino) 's Twitter Profile Photo

Working on problems is the best way to learn machine learning. But most people don't know where to start. Here are 10 projects to start your journey: ↓