digitalzombie

I've talked to one of my mentor's peer, who is a black woman, at the FDA NCTR and she said black women have it rough with breast cancer.

I just google it the term for what black women have they call it triple negative.

https://theconversation.com/why-is-breast-cancer-mortality-h...

One big reason why this happen is there are more clinical trials for white people than there are of other races. One of the reason for this that I got from her is that other races aren't lining up in numbers to go through clinical trials and that there should be more out reach in educating.

The cotton gin advance farmers and arguably extended slavery in America.

So yeah... That's the one example my US history teacher gave me in slavery and technology.

We don't exactly have dust bowl anymore or the Irish Potato Famine. Crop rotation is actually a thing since at least the Aztec.

I like this one: https://www.manning.com/books/soft-skills

It's good in general and gives great life lesson how to navigate your career and the choices you may face.

They're too busy playing catch up with deep learning rocm library.

I wish they're aren't so behind in everything I care about and give us some competition so those graphic card goes down in prices already.

Is it weird?

I feel like it's more like Amazon just trying to monopolize everything. There are articles out there talking about getting Amazon-ed. Where Amazon would go in your industry and dominate you out the market. (https://www.forbes.com/sites/jamescahn/2018/04/24/dont-let-y...)

This is just a natural thing or the thing that Amazon does. Their modus operandi.

> what medicine they take which could in turn reveal metadata like sexual habits

They do recommendation system and I believe they sell sex toys so yeah... Alexia knows your kink already.

It's not weird but I think the better question is is this okay for one company to have so much power in so many area. Or at least I believe that's what you are trying to convey.

Right but they need the increase development to sustain their growth iirc from my news reading.

I really hate the new tariff.

There is no need to be going into a trade war against not only traditionally our rivals but also our allies now too.

The economy is recovering and I believe it may now be heading toward a recession.

Here's the quick data on job created in raw number without the quality of the job to show that it is recovering since the 2008 recession:

https://www.washingtonpost.com/news/fact-checker/wp/2017/12/...

So the question is why do we need this tradewar? It only introduce instability and fear in our market and we have never really recover from 2008 recession yet. The quality of job suck by the way.

It's protectionism and it does not make our country competitive at all.

I disagree.

Wavepool, Maytag, etc.. Americans washer and dryer cloth machines pushed for Tariff from the Obama administration to fight against Samsung and other. The tariff target machine coming out from specific countries so Samsung and other moved to other South Eastern companies such as Vietnam.

So the American companies pushed for tariff for all incoming washing machine that aren't American. Trump administration gave that to them. The result is Samsung and other moved to America for manufacturing. But these companies got HUGE tax breaks incentive to move their company to their states while the American companies aren't getting anything.

This is on top of the prices of metal going up. There is a $100 extra on top of washing/drying machines now.

I'm not a libertarian but The Wealth of Nations by Adam Smith states that all country will have certain expertise they are just good at. Wether it is because the geography that enable them to be better than other or other things, because they're good at certain thing, countries should play to their strength and trade for what they need.

Samsung and other non USA companies are just better than US manufacturer in building washing/drying machine. That's just a fact and this tariff thing is only costing the consumer. The consumers are the losers.

These are the sources before the effect of the tariffs:

https://www.assemblymag.com/articles/94166-washing-machine-t...

https://www.nytimes.com/2018/01/22/business/trump-tariffs-wa...

I don't recall where I got the sources of LG and Samsung moving to USA but it could be PBSnews.

> No patients were harmed.

That's not the point. The point is reckless endangerment of patient and there are laws for these kind of thing. You break it and you pay for it.

It's like saying robbing a bank and no one got killed for it. They got the money back. Just let the robber go.

If they can get away with bilking investors while putting a defective medical device on to market you mind as well have a unregulated medical device market. FDA and John Carreyrou got them.

> Unskilled investors losing a lot of money is, in fact, a very good thing for the Silicon Valley ecosystem. It's how bad influencers are flushed out of the system.

The end does not justified the mean.

Just cause Thanos saved the universe by killing half of all living thing doesn't make it good.

I think it's mostly online. Magic stopped doing big convention at LA convention for new set release. They stop releasing or giving promo cards they only give foil token cards now. It doesn't seem like they supporting hobbyshop as much. Standard is not the most popular format. It seems like Modern is their most popular since cards are expensive now.

It also seem like they're pushing for online more they've release a new online client that only deal with current cards and beyond iirc Magic Arena but the card economy there suck for some reason. I only hear this from a twitch streamer Hoogland in term of what happening to Arena. Jeff Hoogland also talk about the tournament is getting bigger but they've never up the prizes.

A while back there were a few very very alt-right like personalities in the magic scene. It got pretty bad when one of them sic his fanbase against a cosplayer and she end up with threats and decided to quit. The cosplayer announced it via twitter or something saying she's selling everything. That dude got banned. Another dude also got banned cause he read Mien Komf (hitler book) and edgelord online.

Advent of twitch have made making side money with video games a thing so yeah. That's what sup with magic scene it went digital.

Why did they just use a logistic model instead of survival/time-to-event model?

https://www.ncbi.nlm.nih.gov/pubmed/21478775

Uses cox regression model which is a survival regression model.

Also the base model aka previous model they're comparing it to is a logistic regression and the link leads to a pdf about how to increase hospital efficiency it seems like. This sounds stupid and heartless.

In statistic we got survival analysis, a whole branch that is focus on patient and their survival rate for the medical field. Google chose to compare to a paper and algorithm that focus on what seems like making hospital more money instead.

I've seen a lot of data science people goes into different field and just telling people they can make money for them. It's great but with healthcare I don't think people should be treated as dollar signs.

If anybody up and coming wants to use data science in bio, I would encourage them to look into statistic and biostatistic. We have tons of stuff already and then branch out to ML later. But at least know what's out there and there are establish organization, nonprofit out there too that all they do is biostat and build model. My friend works at a nonprofit child oncology.

I just want to point out there are people that's building model to help patient with terrible sickness out there to survive. We're not diddling our thumbs trying to make other people richer.

I use R a lot and I have to say some of these comments are weird.

1. R and Lisp are hardly alike even if it was inspire by it. It's like saying Erlang and Prolog is very similar. If you want learn FP do it in Erlang, Lisp, Haskell, etc.. Don't do it in R, it's half baked.

2. R syntax is ugly with warts. But built in datatype like dataframe, factor type, NA (missing value notion) value, make this language much better than many languages out there for dealing with data. Subsetting dataframe is a breeze even in base R.

3. There are many many advance statistical packages only in R. GLMnet was was in R for 4-5 years before someone decided to port it to Python. You can argue that there might be alternative package. But the statistician that created ridge, elastic, etc... method made GLMnet. There are many statistician out there that just implement their latest method in R. If you want to learn a subject in statistic there is probably a book out there and it'll have an R package and code to come along with it. Next to that will be SAS. There are very few stat book with python packages. You want to learn bayesian statistic? Social Network Analysis? There's a book for it with R code and a package to do that. Good luck finding one in Python for these subfield of statistic. There's a bayesian hierarchical analysis in Ecology and that book is in R.

4. ggplot2 is amazing for static graphic. R doesn't have good dynamic graphic out there and I kinda meh with Shiney. If you hate the syntax then you may learn to appreciate it by reading it from the creator https://www.r-bloggers.com/a-simple-introduction-to-the-grap...

Yeah I don't get these comment comparing Lisp and R rather Python and R.

R is such a bad language to learn FP in.

> the syntax is strange and reflects an earlier evolution of the ideas that went into the tidyverse.

Because it's the "grammar of graphic" see the link below.

https://ramnathv.github.io/pycon2014-r/visualize/ggplot2.htm...

If you don't like that syntax use another library. But ggplot2 how you code graphic like that is amazing for me and many other people. I've tried SAS and Matlab and ggplot2 is the best.

Is the art created from the same artist that did art for the book learnyousomeerlang.com?

I'm glad Erlang and Elixir are slowly getting popular and going into other spaces such as hardware apparently.

Excuse me?

I love Firefox. I don't want it to retire and why would you want to limit choices for other people?

Also how do you make the case that Chromium can survive without Google continuous investment in Chrome?

Mozilla got money to continue Firefox to give competition. People can say whatever they want but Firefox is a good browser and the company have made many good moves to make the internet a good and open place where as others have attacked it. To tell a company to retire it main product that bring it money is beyond reason. Especially a company that aren't doing any harm to anybody.

It's more like abuse of Visa.

These Indians cannot compete or shop around for a better salary which make native programmer's salary cheaper.

If you don't like the cheaper salary then go back home and reapply for visa that's the choice they have and it's a disincentive to go through the whole process.

> https://en.wikipedia.org/wiki/H-1B_visa > If a foreign worker in H-1B status quits or is dismissed from the sponsoring employer, the worker must either apply for and be granted a change of status, find another employer (subject to application for adjustment of status and/or change of visa), or leave the United States. Effective January 17, 2017, the United States Citizenship and Immigration Services modified the rules to allow a grace period of up to 60 days but in practice as long as a green card application is pending they are allowed to stay.

That's not really a new competition. It's just a cheat/loop hole that companies use to pay nonnative IT people dirt.

I think a better solution is let non native workers shop around for better salary (or make it easier) and add a foreign tax on top of their salary.

The foreign tax is similar to out of state tuition when you attend university out of state, the people who are native who have paid taxes for the infrastructure vs people that aren't native that are using infrastructure and may leave the state/country with no loyalty but for better opportunities should pay a tax. The tax is also to incentivize visa holder to become citizen in the future.

I also like a hiring cap for non native people base on if there are actual skill lacking in current work force. The cap is to be revise every few years base on market.

I think the original comment is trying to convey is that perhaps developers should be wary of goodwill.

Microsoft have done this in the past. They actively eat the browser market share with IE and left it alone after being the monopoly in web browser. This forced Netscape to become Mozilla. They also tried to be the gateway and believe OS is the gateway for all program and was left in the dust with web app and web search engine. Their past modus operandi was always to stay a monopoly not to create a good environment for developers.

And I think it's a good thing to keep in mind because microsoft's past actions we should all be wary and keep in mind when we decide to do anything with Microsoft.

I think you create a markov chain and from there see if the chain end up in a steady state somewhere.

Bayesian use MCMC to indirectly get the joint distribution without actually doing integrating by sampling the distribution and getting the average from the chain. You start anywhere reasonable or guess where to start from the chain so you usually burn the first 10-15% of the chain and get the average of the chain.

You can have multiple chains in the simulation each chain represent a parameter estimate.

edit:

The reason why Bayesian use MCMC is because integration is hard and each model have their own different integration problem. If you choose to model salmon migration you may have your own take on the model and in the end you have this nasty integration for that take of your model. If you change your model you have a new integration problem... You can try to integrate it or you can just MCMC it and by pass integration. Instead of integrating to get the PDF you can just sample from the joint distribution and estimate it (the parameters of the distributions) from the sample.

Huh... Bayer I didn't know Bayer own Monsanto. Bayer the one that gave HIV infected medicine to Japan and other markets after US blocked it.

https://www.ncbi.nlm.nih.gov/pubmed/24785997

Geez... it make sense now.

There were also mootools and dojo.

I was more into those two but jQuery made everything dead simple.

They're regulated no?

I'm a bit confuse here. I thought utilities are regulated what is the reasoning for them being evil?

Yeah they're natural monopolies but they also regulated. I get that Enron mess California over but they got caught. What shady things that the electric companies in California are doing?

Personally for me it's a trade off and it does increase complexity.

With jQuery and such you just include a script and back then there were no package management system, glup/grunt, webpack, yeoman/brunch, etc..

Also the client side rendering make SEO hard.

jQuery just get stuff done but at the same time the organization of your code is up to you and you do sacrifice some reusability but in general the trade off is complexity.

VueJS as much as I love learning this framework, it is complex with webpack, cli, browser plugin, and etc...

Seriously, I feel the same way. I tried Angular1 5 years (?) ago and had to do ember for a gig. They were way too complicated, bloated, and terrible.

Vue just works. One of the book suggest that if you like React JSX you can do it too in VueJS. I've never done React but the thought of mixing javascript with template sounds horrifying. VueJS default template system make sense and it is self contain to a file or component.

My mentor was very very adamant about Bayesian network and hierarchical as being deep learning.

He sees the latent layer in the hierarchical model as the hidden layer and the Bayesian just have a strict restrictions/assumptions to the network where as the deep learning is more dumb and less assuming. A few of my professor thinks that PGM, probability graphical model is a super set of deep learning/neural network.

This is where my thinking come from.

IIRC, a paper have shown that gradient descent seems to exhibit MCMCs (blog with paper link inside that led to this conclusion of mine: http://www.inference.vc/everything-that-works-works-because-...).

But I am not an expert in Neural Network nor know the topic well enough to say such a thing. Other than was deferring to opinions of some one that's better than myself. So I'll keep this in mind and hopefully one day have the time to do more research into this topic.

Thank you.

1. Pick a topic you enjoy in your class and write about it. When you write about it choose a style you like to write in.

2. I have summer project I do that's related to the class. I write about those project and the concept I'm using from the class.

Bayesian can be seen as a subset of deep learning or hell a superset.

AI is a superset and Machine learning is a subset of AI and most funding is in deep learning. Once Deep Learning hit the limit I believe there will be an AI winter.

Maybe there will be hype around statistic (cross fingers) which will lead to Bayesian and such.

> Funding for this basic science isn't going away.

What make this 3rd/4th boom in AI different?

The other AI winter, the funding for these science went from well funded to little funding.

I'm skeptical, with respect of course, on your statement because it doesn't have anything to back that up other than it produce useful technologies. Wouldn't this statement imply that the other previous AI which experience AI Winter (expert system, and whatever else) didn't produce useful enough technologies to have funding?

I'm currently on the camp of there is going to be an AI Winter III coming.

> None_ of them have promised wild general intelligence any time soon.

The post talk about Andrew Ng wild expectation on other things such as radiologist tweet. While it's not wild general intelligence. What I think the main article and also I am thinking is the outrageous speculation. Another one is the tesla self driving, it doesn't seem to be there yet and perhaps we're hitting the point of over promise like we did in the past and then AI winter happen because we've found the limit.

> would make users well aware of the consequences of opting out.

People don't even read the ToS (term of service). I'm pessimistic that they would even do this.

I would never start any business with friends or families.

Anything with lots of money involve can hurt relationship.

With that said there were other points in there too and pitfalls that OP did early on that are good lessons. I think another thing to consider is that he didn't have a lawyer or accountant from the inception to go over the legality of 50%-50% and administration role.

It's a sad article but the ending was bright and I'm glad he's taking it as lessons learned. It'll help other people too.

edit:

The pivot from B2C to B2B is interesting. I never actually consider this but reading this now it's more of a "No duh" moment.