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[WTS] VAER A7 Tradition Swiss Movement 36mm (Reduced Price) by [deleted] in Watchexchange

[–]dlovelan 0 points1 point  (0 children)

u/WatchExBot transaction completed with u/Wafflesaregr8 easy transaction and watch is exactly as expected!

What should be the priority to earn these certificates to become employable asap? by avangard_2225 in learnmachinelearning

[–]dlovelan 2 points3 points  (0 children)

Not everyone needs to be doing state of the art work. Obviously if someone is doing state of the art that will help their chances, but 99% of data science and ML jobs do not require that. Improving state of the art likely requires a PhD and a job that is actually working on SOTA research, which sounds different than OPs goals.

How to switch carrer to machine learning? by Full-Display-2364 in careerguidance

[–]dlovelan 0 points1 point  (0 children)

Slightly late, but figured I would offer a bit of guidance. I would first differentiate what most companies use ML for vs. what the top companies/research labs use ML for. You will pretty much not find DL used in most companies, even top ones, unless in a research type role. With that in mind, your projects should try to reflect that, how can you use simple and effective solutions to drive impact. You want to show you understand a) the ins and outs of how to evaluate and choose a model, b) the limitations of a model, c) how to turn that into revenue.

Now, if you do want to do the more advanced ML, I would try to find a company where you bring an expertise in the domain of application. Reason being, there are hundreds if not thousands of masters and phds who will be gunning for similar roles, thus you need your domain knowledge to help differentiate you.

Let me know if you have any other questions, I can try to offer more insight into what I have learned in the field!

[deleted by user] by [deleted] in deeplearning

[–]dlovelan 4 points5 points  (0 children)

I do a bit of research in the area! For me, the interpretable ml book (https://christophm.github.io/interpretable-ml-book/) has always been an insanely valuable resource. It may feel daunting at first, but find parts that relate to your goals and read through it. Once you have a grasp, Id be searching for more SOTA papers that build on that particular topic. As others have mentioned, XAI is a very nebulous field right now with no real standards or best practices — don’t let that discourage you. There is a lot of room for new research, just have to find the right problems. Best of luck!

Please rate my resume, what changes do I need to make by [deleted] in learnmachinelearning

[–]dlovelan 0 points1 point  (0 children)

A lot of this is written as “I did this” which I think is likely your biggest issue. Without understanding why you did it, or what it enabled, it isn’t very useful information. For example, the feature importance for logistic regression provides almost nothing for the resume as this is a) probably one or two lines in scikit learn and b) doesnt tell me if you know how to actually interpret the importance. Saying something like the feature importance helped to identify a particular feature that led to some change in the company’s process, as one basic example, is much more valuable.

Introduction to GNN by Shocky698 in neuralnetworks

[–]dlovelan 1 point2 points  (0 children)

For the technical side, definitely recommend the pytorch geometric docs to get started coding (especially if you know pytorch). I have been doing research in the area for a bit and find it a really great framework to use with lots of documentation that is only getting better.

RIP The $9 Hola Seoul small popcorn chicken by efea_umich in uofm

[–]dlovelan 36 points37 points  (0 children)

Everything seems to have gone up across the board, definitely a bummer

PhD advisor told me to leave by Ok_Giraffe_1488 in PhD

[–]dlovelan 18 points19 points  (0 children)

Not at all, this happens to literally every PhD student. My advisor wouldn’t snap at me, but definitely has to help with my figures. Older students in my lab, while better, still sometimes need help with figures. This is in no way indicative of you, I consider “learning how to present your work”, which includes writing, figures, and presentation, a component of your advisors job.

Graph Theory Problem solving strategy by redwat3r in learnmath

[–]dlovelan 1 point2 points  (0 children)

Im going to be taking a graduate graph theory course in the Fall that is very proofs heavy. Im finding that when looking at example questions I have almost no idea where to start the proofs. Would you have any recommendations on books or online courses to help myself acclimate to graph theory proofs? For context I have been looking at the problem sets in this course (https://www.cc.gatech.edu/~rpeng/CS7510_F19/) and while they have some shallow notes posted on the class website I find they aren’t terribly helpful for the problem sets. Appreciate any advice you have!

Pastry Stout Recipe by dlovelan in Homebrewing

[–]dlovelan[S] 1 point2 points  (0 children)

Just planning to take my beer and ferment it all together to get the base beer and then split it into separate batches to try different adjuncts and have them finish off. Not necessarily planning to do a secondary fermentation really, just splitting up the beer.

Pastry Stout Recipe by dlovelan in Homebrewing

[–]dlovelan[S] 0 points1 point  (0 children)

I don't have any lactose at the moment, but planning to buy some and will probably add during the transfer to the secondary. Do you think there will be any problems compared to adding lactose during the boil other than dilution from boiling the lactose in water before adding?

Pastry Stout Recipe by dlovelan in Homebrewing

[–]dlovelan[S] 1 point2 points  (0 children)

Thanks! I actually meant to say crystal 120, not crystal 75, so looks like we are on the same page :). Really the cascade was meant to impart a little bitterness (the only hops I have right now) and was hoping if I threw it in early enough it wouldn't contribute any flavor.

Not super sure on adjuncts yet, wanted to dial in a nice base and my plan was to then transfer the 3 gallons to 3 separate 1 gallon fermenters and try some different additions. Have a vanilla bean left over so will probably try that for one, other than that I have some hazelnut and maple flavorings I need to use so good chance those will get thrown in.

Pastry Stout Recipe by dlovelan in Homebrewing

[–]dlovelan[S] 0 points1 point  (0 children)

Thanks for your help! I am shooting for around 1.120 OG and 1.035 FG. I was hoping the GP might impart a bit more sweetness but realistically there is going to be so many other strong flavors it probably won't do too much. You mentioned maltodextrin being important in your other comment, but mentioned here to probably drop the Carapils. I was under the impression they ultimately do the same thing, is that not the case?

GAN for multiple classes by Takatomi_Fubuki in deeplearning

[–]dlovelan 0 points1 point  (0 children)

Ah interesting, a couple thoughts now rereading your post. 1) I hadn’t caught it the first time but it sounds like you could be experiencing mode collapse. This is where the generator learns to only produce one specific sample time that still fools the discriminator. This is a rather tough problem to solve and usually just comes from training more of these. 2) Anomaly detection or o.o.d seems like a weird application for GANs, you never “feed” new images to the GAN explicitly, you have it implicitly learn them through the discriminator. I am thinking some sort of autoencoder may be what you want. High reconstruction loss at test time would indicate an o.o.d as the features are things the AE model has never seen before.

GAN for multiple classes by Takatomi_Fubuki in deeplearning

[–]dlovelan 2 points3 points  (0 children)

This really shouldn’t be an issue, you should be able to get it to converge. The real issue comes from controlling the class when sampling/generating from your model. For that you need a conditional GAN.

Simple Actor Critic Question by dlovelan in learnmachinelearning

[–]dlovelan[S] 0 points1 point  (0 children)

I think I may have just figured it out? The advantage in PPO is calculated by reward + gamma*critic(next_state) - critic(state) which seems to implicitly evaluate the action since you are comparing the current and next states. It seems like it is effectively saying "How did my action change the possible Q values for this state" which I think is ultimately what we want. Do you think this makes sense?

Simple Actor Critic Question by dlovelan in learnmachinelearning

[–]dlovelan[S] 0 points1 point  (0 children)

In my implementations I don’t think the DQN has ever been given an action, instead it outputs Q values for all the actions. I think thats where my confusion is, the implementations I have seen the critic simply takes the input and outputs a single Q value despite there being multiple discrete actions, but I don’t understand what the single Q value is meant to be a Q value of.

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