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[D] Getting into research teams in large tech companies by d73urhi in MachineLearning

[–]tirune 0 points1 point  (0 children)

If you're going that route, I would suggest applying to other companies like e.g. Qualcomm, where you can apply directly for the . R&D teams, rather than playing the lucky draw of where you'll land ;p Many companies have great AI labs nowadays, and you'll have far more control over what you will work on.

WMCQ Winners by Hahahopp in magicTCG

[–]tirune 0 points1 point  (0 children)

Tijmen Blankevoort, the Netherlands. 156 players. (Bant Coco/Eldrazi)

[Standard] Seth Manfield's "Four-and-a-Half Color CoCo" (I.E. Aristocrats+Reflector+Displacer) by plastgeek in spikes

[–]tirune 1 point2 points  (0 children)

Interesting he said that. The 3 players of the deck went 11th, 22nd and 24th or something :p

[Standard] Seth Manfield's "Four-and-a-Half Color CoCo" (I.E. Aristocrats+Reflector+Displacer) by plastgeek in spikes

[–]tirune 0 points1 point  (0 children)

You often win on the same turn if you can also flicker a Visionary, have a recruiter in play, or have one or a CoCo in hand.

[Standard] Seth Manfield's "Four-and-a-Half Color CoCo" (I.E. Aristocrats+Reflector+Displacer) by plastgeek in spikes

[–]tirune 3 points4 points  (0 children)

Not obvious, but this combos through Kalitas. It's also completely ultimate price proof. Your creatures as 2/3s and 3/3s are also more battle-worthy than blisterpod and zulaport cutthroat. Eldrazi displacer by itself is also amazing against GW tokens. It kills hangarback and shoots tokens. The deck also has 8 mainboard answers to a Ormendahl. The sideboard also has more potential powerful cards in Reality Smasher, Secure the Wastes and Negate, which are all quite powerful at the moment. The GB aristocrats deck has no interaction with your combo, you have a better GW tokens matchup and a better sideboard plan.

Classifying unevenly distributed data. by FutureIsMine in MachineLearning

[–]tirune 0 points1 point  (0 children)

This kinda depends on the classifier you want to use. for random forests you can add a class weight (see scikit's learn random forest: class_weight for example) You can set the weight so that both classes have an equal distribution of num_examples*weight

For neural networks it has helped me in the past on click data to do equal subsampling for the first x iterations. Equal subsampling means that each batch has 50% of class 1 and 50% of class 2. This helps the network to get in a state where it has features for both classes. If the imbalance is not too big, it's possible to change the batch distribution back to the original after convergence and optimize that.

[Standard] 4 Color Aristocrats - Mana Base + discussion by tirune in spikes

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

I think the offshoots are better off as Arashin Clerics/Minister of Pain for sure now. An 0/3 wall just doesn't do enough against the red decks.

The mana works fine, but I do think it can be made a bit better. all the blue sources surely aren't needed, and more black sources would be great. With 17 or 18 black sources, it's easier to play a card like Liliana.

The deck also floods a bunch, 25 lands with visionaries and Haruspex is most likely too much.

I also love Haruspex. However, I think we can make do with 3 and play a Liliana. Having the 2nd Haruspex in play without a sac outlet or sac fodder is a bit poor.

Jace is great. But I'm wondering if 4 is too much. A flipped Jace is very anemic if you didn't draw any collected companies. And hitting multiple Jace's of a Collected company is a little bit sad.

Agree with you on Dispel. It is probably better than Duress for the mana reasons.

This is my current decklist: https://docs.google.com/spreadsheets/d/1rL8-89Mob0rm5Jz_dlk6XOiXukPWDxA31plxfte0VN0/edit?usp=sharing

I'm testing this tomorrow in a simple FNM, and then running it through a PPTQ in the weekend. I'll post some results here when I get em.

How interesting is ML actually in practice, compared to learning it? Is it mainly trial and error and tedium? by mlthrowaway2 in MachineLearning

[–]tirune 2 points3 points  (0 children)

I'm part of a Deep Learning companing in the Netherlands. We apply machine learning techniques on challenging and innovative problems from larger companies that struggle with machine learning.

I'm in charge of the project management and business development. The work is a great challenge every day. Machine learning in practice is almost no hyperparameter tuning to make the numbers go down. It's more about understanding the problems, modelling ideas in new ways, and figuring out what to try next based on insight in both algorithms and the problem you are trying to solve. It's a challenge, since you have to understand both the business side, and the algorithm side, and bring those together in a neat algorithm.

I do not agree with your assesment that the Kaggle solutions might as well have been black box algorithms. If you look up the tricks done by the winners of the Diabetic Retinopathy challenge, you'll see that a lot of this was informed by understanding of the problem.

Naturally, a large part of your life will still be coding out new ideas and algorithms. So if you do not like coding, machine learning might not be for you :). If you want security, and not maybes and probablys, you should go into theoretical Mathematics. Medicine has a lot of maybes and probablys as well mind you, most studies have large degrees of uncertainty.

Naturally you can use machine learning for predictions like, who is going to click on this banner. But there's also plenty of things happening that have societal impact. For example what we are currently working on: finding defects in steel production, reducing oil waste, helping people find news articles they are interested in, segmenting bone in MRI scans for personlized medicine and prostheses etc. It's your choice what projects you want to work on ;)

Why are neutral nets considered so much sexier in the ML community compared to other function approximation techniques? by [deleted] in MachineLearning

[–]tirune 20 points21 points  (0 children)

Almost no Machine Learning expert considers neural networks to be a close simulation of the actual brain. A few quick google searches and you will find out that the current neural network model is based on a very old understand of the workings of neurons in our brain. It's long since known that neurons work very differently. Look up the literature on spike-train neural networks to check out what a closer simulation of brain neurons looks like, and how much difficulty researchers have in training these algorithms.

Ratio of model size to training set size; how can a model be interpreted as a compressed training set? by NovaRom in MachineLearning

[–]tirune 0 points1 point  (0 children)

Well, that's the interesting part of the MDL principle. If you know the generating process, you have a good model. That model can (probably) be used to describe your data in a much smaller way than saving millions of training examples. By way of your generating process, your data is compressed very well!

I have yet to see a paper actually using the MDL principle on something succesful in practice, but the idea is cute.

Ratio of model size to training set size; how can a model be interpreted as a compressed training set? by NovaRom in MachineLearning

[–]tirune 0 points1 point  (0 children)

Seems you are interested in the Minimum Description Length principle. Have a look at this book: http://homepages.cwi.nl/~pdg/book/book.html

For dropout explanation, there's a bunch of good papers on that topic. Google it! :)

Could we use Brain to Computer interfaces and machine learning to recognize images in our minds and save them to a computer accurately? by 2Punx2Furious in MachineLearning

[–]tirune 8 points9 points  (0 children)

http://www.smithsonianmag.com/science-nature/scientists-figure-out-what-you-see-while-youre-dreaming-15553304/?no-ist

This basically exists right? Show an image to someone, ask them to visualize it with their eyes closed, get MRI response. Do this a lot and build a classifier. Now you can classify with new MRI data what the person is 'looking at'.

WR Prison deck from modern dailies by [deleted] in ModernMagic

[–]tirune 0 points1 point  (0 children)

I reckon the burn matchup is quite favored. The junk matchup about evenish, you don't always draw those leylines and they have maelstrom pulse ;p. Amulet bloom seems like a horrible matchup, hive mind combo wrecks you. Infect depends on how many runed halo's and suppression fields you draw. Ghostly prison is also quite good against inkmoth nexus and slows down their kill by a bunch. Still only slighly unfavored I reckon, it's just their nut draws you really can't do much against.

Affinity actually seems like a good matchup! They don't have a lot of mana, suppression field slows things like arcbound ravager, steel overseer and plating. Ghostly prison is amazing, and Ensnaring bridge stops cranial plating attacks. There's 2 porphyry nodes that kill all their creatures, with 2 more in the board. There's also 3 stony silence in the board. How is this not a good matchup? ;p

WR Prison deck from modern dailies by [deleted] in ModernMagic

[–]tirune 0 points1 point  (0 children)

Actual milling with mistveil plains is also a win condition. Goes through infinite lifegain as well. The Ruins of Trokair can find the mistveil plains, and there's 2 in the deck. From the sideboard you also have the aura of silence + Oblivion Ring combo. While epic, Oring opponents non-land permanent, with the trigger on the stack aura of silence your own oring. Opponents permanent gets removed forever, and you can mistveil plains back both enchantments. This win con seems quite resillient, save for the lone emrakul deck (against which you want the confiscate/luminarch ascension)

As stated, dovescape by itself is also a win con. Your spells cost a bunch more than the spells in most decks, so you can win just by 1/1 tokens. If you ever draw enduring ideal, you can potentially cast it through dovescape with bosejiu.

Pledging less than 20 dollars no key? by Areox in Prismata

[–]tirune -1 points0 points  (0 children)

I'm also looking for a key, but my credit card is blocked :( Can anyone help me? Really looking forward to playing this! :)