Hi all! My name is Zach and I mostly deal with fastai things Lately I’ve been building the adaptnlp project for work, and in the background I’ve been trying to learn more TensorFlow, Keras, and Sci-kit Learn.
I figured this question would come up eventually, which is why I’ve been mildly silent on this path as I’ve wanted to do this for well over six months now
I saw a video by a very famous DL lecturer, and he discussed the T method, where you become an expert in one area, but you have experience in the others. That really centralized with me and it’s how I approached fastai and why I learned so much.
I knew that for me personally I wanted to expand this beyond just one library/framework but most libraries and frameworks. To see the patterns they have, what each do slightly better than the others, and expand my skillsets
And now we are here, where the next step is learning Keras, TF, and Sci-kit Learn before moving back to some more different pytorch frameworks and wrappers
Hi! Just joining wandb. I realized I’ve spent months making tools like wandb myself and they sucked. I also spent too much time not doing what matters which is the science. I am excited to try wandb! It looks amazing. I am currently a PhD student in ML at UIUC.
Hi Everyone! Great to read so many interesting intros here. My name is Yuvraj Sharma. I am based in Dublin, Ireland.
Completed my masters in data science from Technological University Dublin in 2020, and following that started working as research assistant at my university and then as a data scientist at an Insurance company in Dublin.
I did my CS bachelors way back in 2009, worked in IT industry in India for quiet some time and got interested in Data Science around 2016. After that I started learning Python, doing NLP proof of concepts for my then employer and since then been learning upwards and enjoying the journey so long.
Great fan of lads - Abhishek (HF), Sanyam, Aman Arorra, Sayak, Francois, Connor Shorten, Lukas, Yannic, Andrada Olteanu, Jesse Mostipak, and all of you who put your heart and soul in what you do for growing yourself and the data science community and field! Your efforts are visible in public domain and are awe-inspiring.
I am interested in learning new facts though podcasts (Lex, ML ST, Huberman, CTDS…), understanding how human brain works, astronomy, taking long walks and ofcourse Chai !
Dark mode is fine with me, Twitter here and Linkedin over here.
Adam here… Australia Canada New to AI/ML - currently dong a Masters. Approaching from a background in design (architecture, urban, exhibition, public art) Background in practice and tertiary edu (architecture, interior, urban, landscape) As Dark mode is the greatest - as Busta Rhymes would say ‘Gimme some more’ he/him/his
Hi! I’m Jessica - research scientist based in London
For the last three years I’ve been working in academia, on applied deep learning for cancer diagnostics, and interpretability for deep neural networks. Super interested in high impact applications of deep learning, and using neural networks for knowledge discovery. Before that, I was an oil painter, taught kickboxing, ran a design firm, and renovated houses in portugal - so it’s been a long and winding road!
Because I work mostly with images (and I guess in part due to my very visual background) I looooove wandb. Makes it so easy. Gimme all the charts
I’m organising a conference about Interpretable AI, and a regular London meetup for professional researchers and engineers - give me a shout at jessicamarycooper@gmail.com if you’re interested in either.
I’ve mostly use W&B for my MS thesis. Now I’ve minored in AI and found a job as a researcher!
We are working on a humanoid robot project and I’m dealing with pose estimation and grasping. Hopefully, as soon as I get some nice idea about how to do it I’ll be back using the platform… For now, I just wanted to check this new community thing
I’m in the final year of my PhD at the University of Surrey working on video understanding with applications in film production.
I’m now known in my department as the researcher who will look over your shoulder and say “you know you could use WandB to do that?” I also live stream my PhD work and am hoping to get into Dev/Academia Rel in the future.
Oh, I’m also looking for an internship for next summer
If you are into self-supervised attention for video let’s connect
I’m Prash, a PhD candidate in Biomedical Engineering in Canada! Some of my research involves ML for medical image analysis, and wandb has been a great tool in my research workflow (I’ve been using it for a couple of years now and I’m happy to see how much it has grown)!
I’m Adam. I quit my job as a recruiter just over 2 years ago and moved back in with my parents to teach myself Data Science and Machine Learning.
Soon after that, I started freelancing on Upwork. Educational blog posts and videos about DS/ML have been the main way I’ve funded my learning and digital nomad lifestyle. I’ve done some coding-based ML jobs here and there. But now I want to make coding my full-time job and stop writing as much.
Even though I have loads of happy clients on Upwork and feel like I know enough to provide a ton of value to businesses, I haven’t had a portfolio to prove it. So, I’ve just posted 5 portfolio projects on my Github which I am continually refining each week.
I hope this will demonstrate to others that I have the skills to work with them and achieve my goal of working as an ML Engineer.
— Currently in Warsaw, Poland but I fly to Bali in 2 weeks
— Sprucing up my portfolio (see links below) and turning work-in-progress projects into slick reports and write-ups.
- I’m based in Brooklyn, NY - working in NLP. Lately on knowledge graphs and relation extraction - I’ve worked on and off around ML in different areas over the past 7 years - dark mode - https://twitter.com/marsmoses
— Currently I’m R&D TechLead in a Computer Vision team. We are working with edge devices, do research, work on different projects, for example, super-resolution.
Currently working part-time on computer vision for agriculture and finishing up my data science studies at university in a few months. Also very excited about data science competitions like Kaggle, Numerai and hackathons. Have been working on ML for almost 3.5 years now.
I have been part of the Weights & Biases author program for about a year and have blog posts on computer vision, NLP and Numerai: