dtjones

We're getting 504 for our well-known jwks file

And request timeouts against cognito-idp.us-east-1.amazonaws.com

And the cognito console won't load

Learnt -> learned

Yes it's possible to include external libraries into Django templates but I haven't seen a project like this that is maintainable

Yes, serverside rendering is generally more performant than a decoupled client/server-side approach. If server-side rendering is a requirement of the project I'd look into nuxt.js + vue

I was commenting more generally on the approach to building a web app with Django and including external js libraries in Django templates, which I've done in the past as project requirements have changed over time. After including external js libraries to Django templates, there is a lot less support in terms of resources and supporting libraries such as testing frameworks. If the client-side project is initialized with Vue, the project can benefit from the overwhelming amount of supporting resources.

Vue and Django work very well together. However I'd recommend completely decoupling the frontend and backend source code - and avoid using django templates entirely. Instead expose REST endpoints using django rest framework

I've been working in data roles for 10 years and hold a masters in ML. I've hired and managed each of the roles you mentioned. I think of the responsibilities of each of those roles as:

-ML Engineers as building software infrastructure to scale machine learning inference and training.

-Data engineers focusing on data infrastructure and pipelining into either model inference, training, or other business intelligence platforms

-Analysts consume the product of the data engineer in the BI platform or excel, where the results would be consumed as a report in some form.

-And ML Researchers would be those inventing novel machine learning algorithms to deploy in the ML Infrastructure managed by the ML Engineers

-And data scientists to deploy well-known ML algorithms or statistical inference on varying datasets on the ML Infrascturue or as a slide deck.

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We're pre-series A, which translates to small size and big impact. We're looking for a few more software engineers to help out with these mission critical projects: dynamic content optimization, personalization, machine translation, self-serve design editors, email marketing capabilities, data engineering. We operate in a microservices, machine learning friendly architecture, with a handful of django rest apps, Vue 2.0 front end, and scalable distributed data processing apps on AWS.

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Agreed. I don't use any of those services. Seems the product integrations limits the customer pool quite a bit

Seems simple and effective, thanks for sharing. What is the request latency?

Have one major concern: Can the upgraded cpu and architecture handle more N64 games on retropie, specifically GoldenEye?

glo-lo-mo. Global scale, local reach, mobile devices.

Applied machine learning without understanding of the fundamental mathematical assumptions can be a recipe for failure

That said, there are some graphical examples to help understand of how learning algorithms work in 2 dimensions.

Comcast owns NBC, another content provider. I don't think there are any unfair advantages there.

Same. Also curious about the max wind speed it can handle

It is completely automated. It automatically incorporates human/user feedback into ranking.

Even Google, the champion of algorithms, employs substantial human adjustments to make its search engines perform just right.

The author doesn't have a solid grasp on machine learning.

The 'human adjustments' provide feedback to the algorithm, which the algorithm then uses to update and improve performance. His tone implies its a bad thing to use human feedback.

I've had comments around 'how to pirate adobe software' removed from FB.

While the computation might be relatively simple, its still necessary to be aware of literature and use the proper academic description for the methods.

Doesn't look like they are setup to run in parallel, but most R stuff isn't. Unless a package has explicit integration with one of the distributed libraries such as doParallel

Would be interesting to see this package hooked up to streaming data and monitor performance

Here is a list of all music apps supported: https://www.google.com/intl/en_us/chrome/devices/chromecast/...

I wish Spotify would integrate..

I don't think anyone has.

I've never heard of UBM, but the article portrays it as a company with a vertically focused print and tradeshow revenue model that has a few web properties.

The 1996 website monetization model has been disrupted within the last 5 years with ad exchanges that hold auctions in real-time, and most companies with roots in print don't have a clue whats happening in their industry - see new york times, time magazine, plenty more whose traditional ad sales revenues are plummeting

IMO a web property would fail to adapt to the modern revenue model because 1) C level execs don't know what to change it to, 2) they don't understand the new model, or 3) they think that auction based CPMs will be too low so they haven't tested it. In the case of DrDobbs.com with solid traffic and a high quality, established b2b audience, not sure it makes sense to fold the property.

Disclaimer: I used to work at an ad agency and I now work at a data company for ad exchanges.

Edit: here is a 3rd party source on growth in the RTB channel, to which UBM has no exposure: www.emarketer.com/Article/US-Programmatic-Ad-Spend-Tops-10-Billion-This-Year-Double-by-2016/1011312

It sounds like there was no vetting of alternative monetization strategies for the website. I say this because it looks like the site is still running direct-to-advertiser deals, when they could open their remnant inventory up to auction systems via an SSP and tie in yield optimization strategies with their sales team.

If the site has high quality traffic and 10MM pv/month they shouldn't be closing the doors. Based on a 5 minute look at the website and some of the ads seems like the site is restricting its ad revenue to software industry vendors when they could open it up to the rest of the advertising world that wants to pay to serve an in-view ad to a real person with a software engineer's salary.