todeedee
todeedee t1_j31v7pu wrote
Reply to comment by suflaj in Does anyone here use newer or custom frameworks aside from TensorFlow, Keras and PyTorch? by ConsciousInsects
JAX looks appealing, but totally agree -- I'm not ready to go back to using Bazel to build code from source
todeedee t1_ivuohkf wrote
Reply to [Discussion] Can we train with multiple sources of data, some very reliable, others less so? by DreamyPen
How do you know which data source is more reliable? Can you "calibrate" your model with experiments that have determined this?
todeedee t1_ism7oh0 wrote
Reply to comment by [deleted] in [D] PhD advisor doesn’t like open source software journals? by [deleted]
If you want something citable, why not just post it on arvix and be done with it?
Also note that people can directly cite your github page -- just make sure to include the citation instructions (i.e. bibtex) in the readme
todeedee t1_irq0p5r wrote
Reply to comment by Affectionate_Log999 in [P] Youtube channel for ML - initial feedback and suggestions by Fun_Wolverine8333
Disagree -- the logic behind Bayesian estimators is extremely finicky. It took me fucking *years* to wrap my head around Variational Inference and I still don't have a great intuition why MCMC works. If the theory checks out, the implementation is pretty straightforward.
todeedee t1_je2v14i wrote
Reply to [D] I've got a Job offer but I'm scared by [deleted]
Oh, you are using Tensorflow -- that basically means you are going to be doing mostly cookie-cutter ML. Tensorflow is extremely rigid regarding customizable workflows. I wouldn't worry too much about your math background -- it'll mostly be software engineering.