May I also point out to the My settings button on your top right corner > My topic email subscriptions > Unsubscribe from this thread, which would've spared you the message.
On Friday, September 2, 2016 at 11:19:42 AM UTC-3, Kevin Liu wrote: > > Hello Chris. Have you been applying relational learning to your Neural > Crest Migration Patterns in Craniofacial Development research project? It > could enhance your insights. > > On Friday, September 2, 2016 at 6:18:15 AM UTC-3, Chris Rackauckas wrote: >> >> This entire thread is a trip... a trip which is not really relevant to >> julia-users. You may want to share these musings in the form of a blog >> instead of posting them here. >> >> On Friday, September 2, 2016 at 1:41:03 AM UTC-7, Kevin Liu wrote: >>> >>> Princeton's post: >>> http://www.nytimes.com/2016/08/28/world/europe/france-burkini-bikini-ban.html?_r=1 >>> >>> Only logic saves us from paradox. - Minsky >>> >>> On Thursday, August 25, 2016 at 10:18:27 PM UTC-3, Kevin Liu wrote: >>>> >>>> Tim Holy, I am watching your keynote speech at JuliaCon 2016 where you >>>> mention the best optimization is not doing the computation at all. >>>> >>>> Domingos talks about that in his book, where an efficient kind of >>>> learning is by analogy, with no model at all, and how numerous scientific >>>> discoveries have been made that way, e.g. Bohr's analogy of the solar >>>> system to the atom. Analogizers learn by hypothesizing that entities with >>>> similar known properties have similar unknown ones. >>>> >>>> MLN can reproduce structure mapping, which is the more powerful type of >>>> analogy, that can make inferences from one domain (solar system) to >>>> another >>>> (atom). This can be done by learning formulas that don't refer to any of >>>> the specific relations in the source domain (general formulas). >>>> >>>> Seth and Tim have been helping me a lot with putting the pieces >>>> together for MLN in the repo I created >>>> <https://github.com/hpoit/Kenya.jl/issues/2>, and more help is always >>>> welcome. I would like to write MLN in idiomatic Julia. My question at the >>>> moment to you and the community is how to keep mappings of first-order >>>> harmonic functions type-stable in Julia? I am just getting acquainted with >>>> the type field. >>>> >>>> On Tuesday, August 9, 2016 at 9:02:25 AM UTC-3, Kevin Liu wrote: >>>>> >>>>> Helping me separate the process in parts and priorities would be a lot >>>>> of help. >>>>> >>>>> On Tuesday, August 9, 2016 at 8:41:03 AM UTC-3, Kevin Liu wrote: >>>>>> >>>>>> Tim Holy, what if I could tap into the well of knowledge that you are >>>>>> to speed up things? Can you imagine if every learner had to start >>>>>> without >>>>>> priors? >>>>>> >>>>>> > On Aug 9, 2016, at 07:06, Tim Holy <tim....@gmail.com> wrote: >>>>>> > >>>>>> > I'd recommend starting by picking a very small project. For >>>>>> example, fix a bug >>>>>> > or implement a small improvement in a package that you already find >>>>>> useful or >>>>>> > interesting. That way you'll get some guidance while making a >>>>>> positive >>>>>> > contribution; once you know more about julia, it will be easier to >>>>>> see your >>>>>> > way forward. >>>>>> > >>>>>> > Best, >>>>>> > --Tim >>>>>> > >>>>>> >> On Monday, August 8, 2016 8:22:01 PM CDT Kevin Liu wrote: >>>>>> >> I have no idea where to start and where to finish. Founders' help >>>>>> would be >>>>>> >> wonderful. >>>>>> >> >>>>>> >>> On Tuesday, August 9, 2016 at 12:19:26 AM UTC-3, Kevin Liu wrote: >>>>>> >>> After which I have to code Felix into Julia, a relational >>>>>> optimizer for >>>>>> >>> statistical inference with Tuffy < >>>>>> http://i.stanford.edu/hazy/tuffy/> >>>>>> >>> inside, for enterprise settings. >>>>>> >>> >>>>>> >>>> On Tuesday, August 9, 2016 at 12:07:32 AM UTC-3, Kevin Liu >>>>>> wrote: >>>>>> >>>> Can I get tips on bringing Alchemy's optimized Tuffy >>>>>> >>>> <http://i.stanford.edu/hazy/tuffy/> in Java to Julia while >>>>>> showing the >>>>>> >>>> best of Julia? I am going for the most correct way, even if it >>>>>> means >>>>>> >>>> coding >>>>>> >>>> Tuffy into C and Julia. >>>>>> >>>> >>>>>> >>>>> On Sunday, August 7, 2016 at 8:34:37 PM UTC-3, Kevin Liu wrote: >>>>>> >>>>> I'll try to build it, compare it, and show it to you guys. I >>>>>> offered to >>>>>> >>>>> do this as work. I am waiting to see if they will accept it. >>>>>> >>>>> >>>>>> >>>>>> On Sunday, August 7, 2016 at 6:15:50 PM UTC-3, Stefan >>>>>> Karpinski wrote: >>>>>> >>>>>> Kevin, as previously requested by Isaiah, please take this to >>>>>> some >>>>>> >>>>>> other forum or maybe start a blog. >>>>>> >>>>>> >>>>>> >>>>>>> On Sat, Aug 6, 2016 at 10:53 PM, Kevin Liu <kvt...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> Symmetry-based learning, Domingos, 2014 >>>>>> >>>>>>> >>>>>> https://www.microsoft.com/en-us/research/video/symmetry-based-learning >>>>>> >>>>>>> / >>>>>> >>>>>>> >>>>>> >>>>>>> Approach 2: Deep symmetry networks generalize convolutional >>>>>> neural >>>>>> >>>>>>> networks by tying parameters and pooling over an arbitrary >>>>>> symmetry >>>>>> >>>>>>> group, >>>>>> >>>>>>> not just the translation group. In preliminary experiments, >>>>>> they >>>>>> >>>>>>> outperformed convnets on a digit recognition task. >>>>>> >>>>>>> >>>>>> >>>>>>>> On Friday, August 5, 2016 at 4:56:45 PM UTC-3, Kevin Liu >>>>>> wrote: >>>>>> >>>>>>>> Minsky died of a cerebral hemorrhage at the age of 88.[40] >>>>>> >>>>>>>> <https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-40> >>>>>> Ray >>>>>> >>>>>>>> Kurzweil <https://en.wikipedia.org/wiki/Ray_Kurzweil> says >>>>>> he was >>>>>> >>>>>>>> contacted by the cryonics organization Alcor Life Extension >>>>>> >>>>>>>> Foundation >>>>>> >>>>>>>> < >>>>>> https://en.wikipedia.org/wiki/Alcor_Life_Extension_Foundation> >>>>>> >>>>>>>> seeking >>>>>> >>>>>>>> Minsky's body.[41] >>>>>> >>>>>>>> < >>>>>> https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-Kurzweil-41> >>>>>> >>>>>>>> Kurzweil believes that Minsky was cryonically preserved by >>>>>> Alcor and >>>>>> >>>>>>>> will be revived by 2045.[41] >>>>>> >>>>>>>> < >>>>>> https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-Kurzweil-41> >>>>>> >>>>>>>> Minsky >>>>>> >>>>>>>> was a member of Alcor's Scientific Advisory Board >>>>>> >>>>>>>> <https://en.wikipedia.org/wiki/Advisory_Board>.[42] >>>>>> >>>>>>>> < >>>>>> https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-AlcorBoard-42> >>>>>> >>>>>>>> In >>>>>> >>>>>>>> keeping with their policy of protecting privacy, Alcor will >>>>>> neither >>>>>> >>>>>>>> confirm >>>>>> >>>>>>>> nor deny that Alcor has cryonically preserved Minsky.[43] >>>>>> >>>>>>>> <https://en.wikipedia.org/wiki/Marvin_Minsky#cite_note-43> >>>>>> >>>>>>>> >>>>>> >>>>>>>> We better do a good job. >>>>>> >>>>>>>> >>>>>> >>>>>>>>> On Friday, August 5, 2016 at 4:45:42 PM UTC-3, Kevin Liu >>>>>> wrote: >>>>>> >>>>>>>>> *So, I think in the next 20 years (2003), if we can get rid >>>>>> of all >>>>>> >>>>>>>>> of the traditional approaches to artificial intelligence, >>>>>> like >>>>>> >>>>>>>>> neural nets >>>>>> >>>>>>>>> and genetic algorithms and rule-based systems, and just >>>>>> turn our >>>>>> >>>>>>>>> sights a >>>>>> >>>>>>>>> little bit higher to say, can we make a system that can use >>>>>> all >>>>>> >>>>>>>>> those >>>>>> >>>>>>>>> things for the right kind of problem? Some problems are >>>>>> good for >>>>>> >>>>>>>>> neural >>>>>> >>>>>>>>> nets; we know that others, neural nets are hopeless on >>>>>> them. Genetic >>>>>> >>>>>>>>> algorithms are great for certain things; I suspect I know >>>>>> what >>>>>> >>>>>>>>> they're bad >>>>>> >>>>>>>>> at, and I won't tell you. (Laughter)* - Minsky, founder of >>>>>> CSAIL >>>>>> >>>>>>>>> MIT >>>>>> >>>>>>>>> >>>>>> >>>>>>>>> *Those programmers tried to find the single best way to >>>>>> represent >>>>>> >>>>>>>>> knowledge - Only Logic protects us from paradox.* - Minsky >>>>>> (see >>>>>> >>>>>>>>> attachment from his lecture) >>>>>> >>>>>>>>> >>>>>> >>>>>>>>>> On Friday, August 5, 2016 at 8:12:03 AM UTC-3, Kevin Liu >>>>>> wrote: >>>>>> >>>>>>>>>> Markov Logic Network is being used for the continuous >>>>>> development >>>>>> >>>>>>>>>> of drugs to cure cancer at MIT's CanceRX < >>>>>> http://cancerx.mit.edu/>, >>>>>> >>>>>>>>>> on >>>>>> >>>>>>>>>> DARPA's largest AI project to date, Personalized Assistant >>>>>> that >>>>>> >>>>>>>>>> Learns (PAL) <https://pal.sri.com/>, progenitor of Siri. >>>>>> One of >>>>>> >>>>>>>>>> Alchemy's largest applications to date was to learn a >>>>>> semantic >>>>>> >>>>>>>>>> network >>>>>> >>>>>>>>>> (knowledge graph as Google calls it) from the web. >>>>>> >>>>>>>>>> >>>>>> >>>>>>>>>> Some on Probabilistic Inductive Logic Programming / >>>>>> Probabilistic >>>>>> >>>>>>>>>> Logic Programming / Statistical Relational Learning from >>>>>> CSAIL >>>>>> >>>>>>>>>> < >>>>>> http://people.csail.mit.edu/kersting/ecmlpkdd05_pilp/pilp_ida2005_ >>>>>> >>>>>>>>>> tut.pdf> (my understanding is Alchemy does PILP from >>>>>> entailment, >>>>>> >>>>>>>>>> proofs, and >>>>>> >>>>>>>>>> interpretation) >>>>>> >>>>>>>>>> >>>>>> >>>>>>>>>> The MIT Probabilistic Computing Project (where there is >>>>>> Picture, an >>>>>> >>>>>>>>>> extension of Julia, for computer vision; Watch the video >>>>>> from >>>>>> >>>>>>>>>> Vikash) >>>>>> >>>>>>>>>> <http://probcomp.csail.mit.edu/index.html> >>>>>> >>>>>>>>>> >>>>>> >>>>>>>>>> Probabilistic programming could do for Bayesian ML what >>>>>> Theano has >>>>>> >>>>>>>>>> done for neural networks. >>>>>> >>>>>>>>>> <http://www.inference.vc/deep-learning-is-easy/> - Ferenc >>>>>> Huszár >>>>>> >>>>>>>>>> >>>>>> >>>>>>>>>> Picture doesn't appear to be open-source, even though its >>>>>> Paper is >>>>>> >>>>>>>>>> available. >>>>>> >>>>>>>>>> >>>>>> >>>>>>>>>> I'm in the process of comparing the Picture Paper and >>>>>> Alchemy code >>>>>> >>>>>>>>>> and would like to have an open-source PILP from Julia that >>>>>> combines >>>>>> >>>>>>>>>> the >>>>>> >>>>>>>>>> best of both. >>>>>> >>>>>>>>>> >>>>>> >>>>>>>>>> On Wednesday, August 3, 2016 at 5:01:02 PM UTC-3, Christof >>>>>> Stocker >>>>>> >>>>>>>>>> >>>>>> >>>>>>>>>> wrote: >>>>>> >>>>>>>>>>> This sounds like it could be a great contribution. I >>>>>> shall keep a >>>>>> >>>>>>>>>>> curious eye on your progress >>>>>> >>>>>>>>>>> >>>>>> >>>>>>>>>>> Am Mittwoch, 3. August 2016 21:53:54 UTC+2 schrieb Kevin >>>>>> Liu: >>>>>> >>>>>>>>>>>> Thanks for the advice Cristof. I am only interested in >>>>>> people >>>>>> >>>>>>>>>>>> wanting to code it in Julia, from R by Domingos. The >>>>>> algo has >>>>>> >>>>>>>>>>>> been >>>>>> >>>>>>>>>>>> successfully applied in many areas, even though there >>>>>> are many >>>>>> >>>>>>>>>>>> other areas >>>>>> >>>>>>>>>>>> remaining. >>>>>> >>>>>>>>>>>> >>>>>> >>>>>>>>>>>> On Wed, Aug 3, 2016 at 4:45 PM, Christof Stocker < >>>>>> >>>>>>>>>>>> >>>>>> >>>>>>>>>>>> stocker....@gmail.com> wrote: >>>>>> >>>>>>>>>>>>> Hello Kevin, >>>>>> >>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>> Enthusiasm is a good thing and you should hold on to >>>>>> that. But >>>>>> >>>>>>>>>>>>> to save yourself some headache or disappointment down >>>>>> the road I >>>>>> >>>>>>>>>>>>> advice a >>>>>> >>>>>>>>>>>>> level head. Nothing is really as bluntly obviously >>>>>> solved as it >>>>>> >>>>>>>>>>>>> may seems >>>>>> >>>>>>>>>>>>> at first glance after listening to brilliant people >>>>>> explain >>>>>> >>>>>>>>>>>>> things. A >>>>>> >>>>>>>>>>>>> physics professor of mine once told me that one of the >>>>>> (he >>>>>> >>>>>>>>>>>>> thinks) most >>>>>> >>>>>>>>>>>>> malicious factors to his past students progress where >>>>>> overstated >>>>>> >>>>>>>>>>>>> results/conclusions by other researches (such as >>>>>> premature >>>>>> >>>>>>>>>>>>> announcements >>>>>> >>>>>>>>>>>>> from CERN). I am no mathematician, but as far as I can >>>>>> judge is >>>>>> >>>>>>>>>>>>> the no free >>>>>> >>>>>>>>>>>>> lunch theorem of pure mathematical nature and not >>>>>> something >>>>>> >>>>>>>>>>>>> induced >>>>>> >>>>>>>>>>>>> empirically. These kind of results are not that easily >>>>>> to get >>>>>> >>>>>>>>>>>>> rid of. If >>>>>> >>>>>>>>>>>>> someone (especially an expert) states such a theorem >>>>>> will prove >>>>>> >>>>>>>>>>>>> wrong I >>>>>> >>>>>>>>>>>>> would be inclined to believe that he is not talking >>>>>> about >>>>>> >>>>>>>>>>>>> literally, but >>>>>> >>>>>>>>>>>>> instead is just trying to make a point about a more or >>>>>> less >>>>>> >>>>>>>>>>>>> practical >>>>>> >>>>>>>>>>>>> implication. >>>>>> >>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>> Am Mittwoch, 3. August 2016 21:27:05 UTC+2 schrieb >>>>>> Kevin Liu: >>>>>> >>>>>>>>>>>>>> The Markov logic network represents a probability >>>>>> distribution >>>>>> >>>>>>>>>>>>>> over the states of a complex system (i.e. a cell), >>>>>> comprised of >>>>>> >>>>>>>>>>>>>> entities, >>>>>> >>>>>>>>>>>>>> where logic formulas encode the dependencies between >>>>>> them. >>>>>> >>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>> On Wednesday, August 3, 2016 at 4:19:09 PM UTC-3, >>>>>> Kevin Liu >>>>>> >>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>> wrote: >>>>>> >>>>>>>>>>>>>>> Alchemy is like an inductive Turing machine, to be >>>>>> programmed >>>>>> >>>>>>>>>>>>>>> to learn broadly or restrictedly. >>>>>> >>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>> The logic formulas from rules through which it >>>>>> represents can >>>>>> >>>>>>>>>>>>>>> be inconsistent, incomplete, or even incorrect-- the >>>>>> learning >>>>>> >>>>>>>>>>>>>>> and >>>>>> >>>>>>>>>>>>>>> probabilistic reasoning will correct them. The key >>>>>> point is >>>>>> >>>>>>>>>>>>>>> that Alchemy >>>>>> >>>>>>>>>>>>>>> doesn't have to learn from scratch, proving Wolpert >>>>>> and >>>>>> >>>>>>>>>>>>>>> Macready's no free >>>>>> >>>>>>>>>>>>>>> lunch theorem wrong by performing well on a variety >>>>>> of classes >>>>>> >>>>>>>>>>>>>>> of problems, >>>>>> >>>>>>>>>>>>>>> not just some. >>>>>> >>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>> On Wednesday, August 3, 2016 at 4:01:15 PM UTC-3, >>>>>> Kevin Liu >>>>>> >>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>> wrote: >>>>>> >>>>>>>>>>>>>>>> Hello Community, >>>>>> >>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>> I'm in the last pages of Pedro Domingos' book, the >>>>>> Master >>>>>> >>>>>>>>>>>>>>>> Algo, one of two recommended by Bill Gates to learn >>>>>> about AI. >>>>>> >>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>> From the book, I understand all learners have to >>>>>> represent, >>>>>> >>>>>>>>>>>>>>>> evaluate, and optimize. There are many types of >>>>>> learners that >>>>>> >>>>>>>>>>>>>>>> do this. What >>>>>> >>>>>>>>>>>>>>>> Domingos does is generalize these three parts, (1) >>>>>> using >>>>>> >>>>>>>>>>>>>>>> Markov Logic >>>>>> >>>>>>>>>>>>>>>> Network to represent, (2) posterior probability to >>>>>> evaluate, >>>>>> >>>>>>>>>>>>>>>> and (3) >>>>>> >>>>>>>>>>>>>>>> genetic search with gradient descent to optimize. >>>>>> The >>>>>> >>>>>>>>>>>>>>>> posterior can be >>>>>> >>>>>>>>>>>>>>>> replaced for another accuracy measure when it is >>>>>> easier, as >>>>>> >>>>>>>>>>>>>>>> genetic search >>>>>> >>>>>>>>>>>>>>>> replaced by hill climbing. Where there are 15 >>>>>> popular options >>>>>> >>>>>>>>>>>>>>>> for >>>>>> >>>>>>>>>>>>>>>> representing, evaluating, and optimizing, Domingos >>>>>> >>>>>>>>>>>>>>>> generalized them into >>>>>> >>>>>>>>>>>>>>>> three options. The idea is to have one unified >>>>>> learner for >>>>>> >>>>>>>>>>>>>>>> any application. >>>>>> >>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>> There is code already done in R >>>>>> >>>>>>>>>>>>>>>> https://alchemy.cs.washington.edu/. My question: >>>>>> anybody in >>>>>> >>>>>>>>>>>>>>>> the community vested in coding it into Julia? >>>>>> >>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>> Thanks. Kevin >>>>>> >>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>>> On Friday, June 3, 2016 at 3:44:09 PM UTC-3, Kevin >>>>>> Liu wrote: >>>>>> >>>>>>>>>>>>>>>>> https://github.com/tbreloff/OnlineAI.jl/issues/5 >>>>>> >>>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>>> On Friday, June 3, 2016 at 11:17:28 AM UTC-3, Kevin >>>>>> Liu >>>>>> >>>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>>> wrote: >>>>>> >>>>>>>>>>>>>>>>>> I plan to write Julia for the rest of me life... >>>>>> given it >>>>>> >>>>>>>>>>>>>>>>>> remains suitable. I am still reading all of >>>>>> Colah's >>>>>> >>>>>>>>>>>>>>>>>> material on nets. I ran >>>>>> >>>>>>>>>>>>>>>>>> Mocha.jl a couple weeks ago and was very happy to >>>>>> see it >>>>>> >>>>>>>>>>>>>>>>>> work. Thanks for >>>>>> >>>>>>>>>>>>>>>>>> jumping in and telling me about OnlineAI.jl, I >>>>>> will look >>>>>> >>>>>>>>>>>>>>>>>> into it once I am >>>>>> >>>>>>>>>>>>>>>>>> ready. From a quick look, perhaps I could help and >>>>>> learn by >>>>>> >>>>>>>>>>>>>>>>>> building a very >>>>>> >>>>>>>>>>>>>>>>>> clear documentation of it. Would really like to >>>>>> see Julia a >>>>>> >>>>>>>>>>>>>>>>>> leap ahead of >>>>>> >>>>>>>>>>>>>>>>>> other languages, and plan to contribute heavily to >>>>>> it, but >>>>>> >>>>>>>>>>>>>>>>>> at the moment am >>>>>> >>>>>>>>>>>>>>>>>> still getting introduced to CS, programming, and >>>>>> nets at >>>>>> >>>>>>>>>>>>>>>>>> the basic level. >>>>>> >>>>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>>>> On Friday, June 3, 2016 at 10:48:15 AM UTC-3, Tom >>>>>> Breloff >>>>>> >>>>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>>>> wrote: >>>>>> >>>>>>>>>>>>>>>>>>> Kevin: computers that program themselves is a >>>>>> concept >>>>>> >>>>>>>>>>>>>>>>>>> which is much closer to reality than most would >>>>>> believe, >>>>>> >>>>>>>>>>>>>>>>>>> but julia-users >>>>>> >>>>>>>>>>>>>>>>>>> isn't really the best place for this speculation. >>>>>> If >>>>>> >>>>>>>>>>>>>>>>>>> you're actually >>>>>> >>>>>>>>>>>>>>>>>>> interested in writing code, I'm happy to discuss >>>>>> in >>>>>> >>>>>>>>>>>>>>>>>>> OnlineAI.jl. I was >>>>>> >>>>>>>>>>>>>>>>>>> thinking about how we might tackle code >>>>>> generation using a >>>>>> >>>>>>>>>>>>>>>>>>> neural framework >>>>>> >>>>>>>>>>>>>>>>>>> I'm working on. >>>>>> >>>>>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>>>>> On Friday, June 3, 2016, Kevin Liu < >>>>>> kvt...@gmail.com> >>>>>> >>>>>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>>>>> wrote: >>>>>> >>>>>>>>>>>>>>>>>>>> If Andrew Ng who cited Gates, and Gates who >>>>>> cited >>>>>> >>>>>>>>>>>>>>>>>>>> Domingos (who did not lecture at Google with a >>>>>> TensorFlow >>>>>> >>>>>>>>>>>>>>>>>>>> question in the >>>>>> >>>>>>>>>>>>>>>>>>>> end), were unsuccessful penny traders, Julia was >>>>>> a >>>>>> >>>>>>>>>>>>>>>>>>>> language for web design, >>>>>> >>>>>>>>>>>>>>>>>>>> and the tribes in the video didn't actually >>>>>> solve >>>>>> >>>>>>>>>>>>>>>>>>>> problems, perhaps this >>>>>> >>>>>>>>>>>>>>>>>>>> would be a wildly off-topic, speculative >>>>>> discussion. But >>>>>> >>>>>>>>>>>>>>>>>>>> these statements >>>>>> >>>>>>>>>>>>>>>>>>>> couldn't be farther from the truth. In fact, if >>>>>> I had >>>>>> >>>>>>>>>>>>>>>>>>>> known about this >>>>>> >>>>>>>>>>>>>>>>>>>> video some months ago I would've understood >>>>>> better on how >>>>>> >>>>>>>>>>>>>>>>>>>> to solve a >>>>>> >>>>>>>>>>>>>>>>>>>> problem I was working on. >>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>>>>>> For the founders of Julia: I understand your >>>>>> tribe is >>>>>> >>>>>>>>>>>>>>>>>>>> mainly CS. This master algorithm, as you are >>>>>> aware, would >>>>>> >>>>>>>>>>>>>>>>>>>> require >>>>>> >>>>>>>>>>>>>>>>>>>> collaboration with other tribes. Just citing the >>>>>> obvious. >>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>>>>>> On Friday, June 3, 2016 at 10:21:25 AM UTC-3, >>>>>> Kevin Liu >>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>> >>>>>>>>>>>>>>>>>>>> wrote: >>>>>> >>>>>>>>>>>>>>>>>>>>> There could be parts missing as Domingos >>>>>> mentions, but >>>>>> >>>>>>>>>>>>>>>>>>>>> induction, backpropagation, genetic >>>>>> programming, >>>>>> >>>>>>>>>>>>>>>>>>>>> probabilistic inference, >>>>>> >>>>>>>>>>>& >>>>> >>>>>
