Minneapolis now, France soon.

Formerly data science/machine learning, soon to be something else entirely.

Leaving tech, and so should you.

software security #swsec machine learning security #mlsec Tech | Life | Music

Retired physicist, after a career in machine learning & stats mostly for cancer drug discovery. Now blogging about stats in the news.

Avatar: convergence basins in the complex plane of Newton's algorithm searching for the cube roots of unity. (After a NYT column by @stevenstrogatz, long ago.)

Header: Quote from GK Chesterton, London Daily News, 1905-Aug-16 on epistemic humility and the ability to say "I am wrong" as the foundation of idealism.

#statistics #physics #r

Machine Learning / Software Engineer, Physicist, Hacker. Based in #Taiwan. From #Hungary. Blogging as @gergely.

Often found with:

Climate Scientist (Atmospheric) at Climate Central | PhD | Sharing data-driven stories | Harrisburg, PA | Views, thoughts, and opinions expressed here are only my own

My research and communication interests coincide with disentangling patterns of climate change from climate variability using data-driven methods. Also, scary movie fan!

#Arctic #ClimateChange #DataViz #MachineLearning #OpenScience #Python #SciComm #Weather #wxMastodon #wxTwitter

Computer Scientist at Fachhochschule Wedel University of Applied Sciences. Smart Technology, Distributed Systems, Formal Methods, Robotics, FPGA, Machine Learning, IT Security, Software Architecture, Programming Languages & Compiler Construction, Forth, Lisp, Go, Smalltalk, Oberon, and many others, ...
Retro Computing: CP/M, Stack Machines, Personal Workstations

computational aesthetics / bag of mostly water

One of the ones to blame for the Vancouver Hackspace & Makerfaire. Looking towards what’s next through open source tools, design, and community building.

#computervision #dsp #embedded #machinelearning #nature #data #art #yvr 
~ 🐧🚲🌿🍄🍉

https://vvh.io
 | https://github.com/flyingoctopus

Geek of Linux, databases, machine learning; nemophilist; occasionally political and progressive; Christian; 📷 #landscape 🏔, #nature, #geology and #astrophotography 🔭 
Perthshire 🏴󠁧󠁢󠁳󠁣󠁴󠁿
https://shiny.photo/

Work: Machine Learning Engineer at Apple, previously a Research Fellow in learning theory at the Australian National University.

Play: #trailrunning, #marathon, #eurorack, #jazz, #guitar, #piano, #bass, #snowboarding, #gogame, #photography

Based in Canberra, Australia 🇦🇺.

Machine learning #ML, #Rust, #macOS, #NixOS.
If AI is the future, it must be open.

Developer for IBM. Kafka. Kubernetes. AI. ML. Gadgets. Mobiles. Gaming. Coffee. Creator of https://machinelearningforkids.co.uk

I'm a grey beard Linux, cloud, grpahics, and high-performance computing. I'm playing with machine learning, robotics, 3D printing on my own time. All those topics are fair game and you might see some photography, e-bike, or other fun things.

Faculty at Mayo Clinic; instructor at UPenn; senior investigator at https://www.icqcm.org. Critical quantitative methods & critical data science, social statistics, network models.

Per Qubits ad Astra

Quantum Computation and Machine Learning researcher at the Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences Warsaw.

An advocate for Free Software, Open Source communities, the GNOME project, Open Hardware/Firmware - and sustainable open source - I might talk about politics too. I'm also the oneAPI community manager. As a community person I care about equailty for all- proud partner to @aartiramkrishna

I'm a scientist of sound. I apply machine learning to birdsong.

Associate Professor of AI & Biodiversity, at Tilburg University and Naturalis (the Netherlands).

I also post food+drink here: https://hostux.social/@nomnomdan
and music here: https://ravenation.club/@mcldnowplaying

M.A. LIS and Computer Science. Team lead "IT Services for the Digital Library" @stabi_berlin. Field of work: #eRessourcen, #Repositories, #AAI, #DigitalLibrary, #SearchTechnology, #ETL, #IIIF. Interested in #LinkedData, any kind of #Decentralisation and to raise the #DigitalLibrary to the next level to bring it together with machine learning #ML and Digital Humanities #DH. Lecturer at the Institute for Library- and Information Science of HU Berlin @IBI_HU. Father of twins and owner of two dogs.

Data Science, Machine Learning, Optimization, Python & biking. Also Pl@ntNet-er.

Antenne Inria de l'Université de Montpellier.

''It's hard to justify a bridge by the # of people swimming across a river''(B.Toderian)

He/him, Swiss Geek, organiser and coach at Ruby Monstas Zürich, Machine Learning Engineer @ SBB, bicycle traveller, Podcaster @ Danke Vreni. Luxus-Linker und Bevormunder-Grüner. Eidg. anerkannter Velocipeden-Rittmeister.

pattern formation, minimal music, granular matter, meditation, X-ray tomography, machine learning ....

What I love:
- *NIX-Like Family
- Cats, cats, and kitten
- Computer
- Network
- Internet of Things
- Python (Beginner Level)
- Machine Learning (Entry Level)
- Flutter and Dart (Entry Level)

Studying, Experimenting, and Create simple prototypes with IoT