Pretty much censoring themselves due to the higher technical barriers for accessing.
I suspect they'll get some new (normal) domains and be operating like normal within a week as the media fervor dies down.
853 karma · joined February 17, 2014
I suspect they'll get some new (normal) domains and be operating like normal within a week as the media fervor dies down.
This literally could have been one of the worst accidents in American aviation history had the pilots of the landing airplane failed to react in time. There were 4 fully loaded and fueled passenger jets directly ahead of them.
If I got that type of error/reissue email, I would assume it was something fairly normal going on, when in reality I really, really need to know that the private key had been leaked.
The Candidate FAQ was pretty good. https://triplebyte.com/candidate_faq
http://www.seattletimes.com/seattle-news/crime/florida-man-c...
> Hudek, who was sitting in first class and traveling on a “dependent pass,” ordered one beer before takeoff and showed no signs of intoxication, FBI Special Agent Caryn Highley wrote in the complaint.
> About an hour into the flight, Hudek briefly went into the lavatory, according to the complaint. He then went back out and asked one of the flight attendants a question in the galley area, the complaint says.
> Hudek returned to the lavatory for about two minutes. After he walked out he lunged toward the emergency exit door, grabbed the handle and tried to open it, the complaint alleges.
You can browse some of their data sources here: https://www.opendatanetwork.com/
Self driving cars just need to be better than humans, and given the number of teens and senior citizens on the road...
(PC gamers were particularly impacted by this, as the command prompt flickering would minimize full screen games...)
I've had to contact support a few times in the last few months for coworkers email issues. We're a very small company paying $5 per month.
To contact: https://admin.google.com/AdminHome then help button --> Contact support
Yes, generally speaking, there is a correlation between usage and likelihood to stay on and not cancel. When we do our analysis, we're starting at the unique event level. I can't think of the data science term off the top of my head for it but our process doesn't require events to be keyed in, so while we have an event called 'login' our platform thinks of it as 'event 1' --- there is no semantic meaning to the event to our system, and this is intentional to allow us to test all events without knowing exactly what they are and under what circumstances they fire off.
>or is it that customers which have multiple users using the SaaS application are more likely to stay on ?
This is an interesting question, and I wouldn't say this is true. There is a lot of complexity when an account has 10 users, and 2 are super power users, active several times a day, when the other 8 are different degrees of engaged. Maybe a few never even registered in the first place. We have several methodologies for 'rolling up' user associated with one account to the account level which is key for our customers where we're not scoring likelihood of users to cancel, but likelihood of accounts to cancel.
> What signals are emitted by the customers who are about to discontinue ?
Varies for all of our customers. One thing to consider is we make sure we're not contaminating our dataset... if you have an event which is called "customer clicked don't renew button" that is helpful to you but we want to predict weeks or months before they click that button, and not take those types of events into account for training purposes.
I work at a startup which is using ML to predict churn [1] for our SaaS customers (B2B especially, but also B2C and B2G). We use the signal in product analytics data and other sources of data to flag at-risk accounts before they cancel, so proactive engagement can occur. I can tell you that the reasons for churn are numerous, and even more so unique to each of our customers. There is definitely no golden bullet solution out there (shocking, I know).
Our customers that have had the most success reducing churn take a flexible, adaptable approach which brings in stakeholders from multiple areas. A marketer probably can't heavily reduce churn on their own. A customer success team probably can't heavily reduce churn on their own. Same for Sales teams, Product teams, etc - you shouldn't point to one team and say "this is your problem, fix it". Churn is a complex interplay between a number of factors. At least in my experience, no one team or division working in isolation will have as much success as raising churn as a company focus that is shared between multiple domain experts working together with the shared objective of improving customer retention.
I also hadn't seen the "Someone from $location recently ordered #item" as a popup. Interesting twist on social validation. Saw it on this page https://www.retropatents.com/collections/all
Remove this.
I've never heard of 'beam-forming'...
From wikipedia:
> Beamforming or spatial filtering is a signal processing technique used in sensor arrays for directional signal transmission or reception.[1][2] This is achieved by combining elements in an antenna array in such a way that signals at particular angles experience constructive interference while others experience destructive interference. Beamforming can be used at both the transmitting and receiving ends in order to achieve spatial selectivity. The improvement compared with omnidirectional reception/transmission is known as the directivity of the array.
> Beamforming can be used for radio or sound waves. It has found numerous applications in radar, sonar, seismology, wireless communications, radio astronomy, acoustics and biomedicine. Adaptive beamforming is used to detect and estimate the signal-of-interest at the output of a sensor array by means of optimal (e.g. least-squares) spatial filtering and interference rejection.
So if I'm reading that right, it is to detect nearby humans based on their impact on existing wifi signals? Is that correct?
Users could pay $ to change their gamertag (~$10).
It was fairly common to see people publically asking "please report my name as offensive" as it was known that if you got enough reports, you would be "forced" to change your name for free. People who wanted to change their name anyway would solicit reports against themselves to avoid a $10 fee.
Clearly no human was reviewing these reports... and that was a paid service!
What we do: Appuri helps online businesses understand, diagnose and reduce customer churn. We provide a beautiful, end-to-end solution that makes it easy for our customers to tackle churn. By removing the need to hire data scientists or data engineers, we offer a very compelling price point. Very few products can bring Big Data and Machine Learning at the scale and price point with the results we offer. We serve both B2B and B2C customers, with strong success in both spaces.
Our go-to-market solution is backed by a world-class ETL pipeline and data platform that makes onboarding, insight generation and integration with corporate business processes many times faster than competitors or do-it-yourself alternatives. This platform is also a solid foundation for us to build future solutions.
Open positions can be found here: https://jobs.lever.co/appuri
Engineering
Senior UX Developer
Remote: Contractor - Go
Remote: Contractor - NodeJS
.
Sales
Account Executive
Business Development Representative
"using machine learning" --- what does that even mean? The test was designed with ML? What?
> Two-thirds of the tested students could not even write code that compiles
Did they get to choose what framework to use when responding to this question? Did they get to test their code? My intro to CS course in college had us handwrite code for tests, so guess what, I bet 95% of student's code wouldn't compile due to an occasional missed character or incorrect capital letter. Is this a similar situation?
This whole article needs a lot more detail around how this test was administered and what a borderline 'fail' looks like.
Or just waiting for that 1 year vesting cliff?
They could almost certainly comply with any law like this by adding a tiny little "Tip your driver" link in your receipt, which would be seen and used by .001% of riders...
1) Apple's pricing model ('high margin' is an understatement)
2) The Mac Pro GPU was released in late 2013. The 1080 is a much more recent GPU.
This is all before looking at CPU differences.
To be clear, every flight is overbooked.
The airlines have run the numbers, and it is clearly more profitable to sell (for example) 105% of the plane, and then if more than 100% show up, pay people off to take a different flight.