Sentences with phrase «talking about algorithms»

I hope he's not talking about their algorithms.

«If we talk about the algorithms of facial recognition, they greatly improve the quality of services and life in general,» Kuharenko says.

For those interested in that follow - up, I will be leading a webinar for ActionSprout the first week of June (exact dates to be announced shortly) specifically to talk about Algorithm changes.

«I had watched a TED Talk about the algorithm used on OkCupid and how accurate was, so I decided to try it instead of other online dating apps.

Not exact matches

Our algorithms look at 450 popcorn companies across the country and score them on metrics around brand engagement — how often and quickly consumers talk about the brands, the sentiment, the word choice people use.

Recently, the company did implement new algorithms that can limit the accounts of users who show a pattern of abuse, something that is not exactly an A.I. And, they've talked about using IBM Watson to help, but that's not exactly developing the A.I. in house.

What Facebook might be willing to do, however, is to talk a bit more about this problem and potential solutions for it, instead of relying on the algorithm or its own secret internal processes to take care of it.

There's the influence of the news - feed algorithm, for one thing, which is poorly understood — primarily because the company doesn't really talk about how it works.

So far, we've talked about Panda, Penguin, and Hummingbird and how these Google algorithm updates affect site owners who want to improve search engine rankings without getting penalized.

When we're talking about search engine optimization, we're not talking about spoofing search engines with bad information or otherwise trying to distort the search engine results — people often try to do that, but the search companies constantly change their algorithms to counter new tactics.

Also note that we're NOT talking about the legendary Facebook algorithm, which determines which stories appear in each user's timeline — humans filter «trending news» stories, deciding which ones to highlight.

And in the newsletter intro this month I talked a bit about FB Algorithm changes and still maintain this is nothing for advocacy / campaign social to be worrying about... again, if you are overtly being promotional enough to get dinged for this, you deserve to be, imho, but here's the official FB announcement for this particular algorithm tweak: News Algorithm changes and still maintain this is nothing for advocacy / campaign social to be worrying about... again, if you are overtly being promotional enough to get dinged for this, you deserve to be, imho, but here's the official FB announcement for this particular algorithm tweak: News algorithm tweak: News Feed FYI.

«Alan would discuss maybe how [a new algorithm] would impact his work, or he would talk about his experiences of using a similar algorithm, and he helped me understand.

To be sure, the exact details of the algorithm can not be evaluated because the dating sites have not yet allowed their claims to be vetted by the scientific community (eHarmony, for example, likes to talk about its «secret sauce»), but much information relevant to the algorithms is in the public domain, even if the algorithms themselves are not.

Isn't that the algorithm doctors emphasize when they talk about preventing disease and slowing aging?

Between the unpopular algorithm replacing chronological order, Stories and other new features, Instagram remains one of the most talked about topics for many businesses.

Among other things, that I might talk about later, is the fact that the match - making algorithms used by sites like eHarmony haven't been proven to be effective...

Last September, Tomas Chamorro - Premuzic wrote a piece for Management Today called What Recruitment Should Learn From Online Dating, talking about the possibilities of using algorithm - style dating ideas in recruitment.

Tinder's unique algorithm and site culture makes it the most talked about dating site online and offline, generating an average of 12 million matches per day from over 50 million users.

Mind you on any dating site, as in life (I have friends who have practiced online dating for years, have spent a mint, have been matched by physiological profiles, computer algorithms & plain ole physical attraction but have still come up short) so finding the ONE may take time, patience, and a lot of focusing on YOU and your own beliefs about what you deserve (email me personally & we can talk more in depth about this if you'd like), but I believe any and all things are possible, including your finding your prince, online or around the corner.

There is a lot of talk around about the new Google Farmer / Panda algorithm and how it has killed many sites, some of them reporting up to 90 % reduction in visitors arriving to their site through search results.

We have several innovative algorithms implemented that understandably I can not talk about in detail.

Surely, he thought, online dating sites had global reach, economies of scale and algorithms ensuring utility maximisation (this way of talking about dating, incidentally, explains why so many behavioural economists spend Saturday nights getting intimate with single - portion lasagnes).

On WashPost Live, Online Dating Expert Julie Spira and Dr. Eli Finkel from Northwestern University talk with Nia - Malika Henderson about online dating algorithms and the latest trends in mobile dating.

Amusingly, AI's successes of late use «deep learning» algorithms, and in education circles we have been talking about «deeper learning,» so it is really «deep + deeper learning» together!

-- Ralph Müller - Eiselt Biased algorithms are everywhere, so at a critical moment in the evolution of machine learning and AI, why aren't we talking about the societal issues this poses?

No one can really understand how it's done, but we all depend on those algorithms for the survival of our business — that's so many people who do business online talk about them.

And then just on the book marketing: one of the things that's been talked about a lot right now with Chris Fox's book on the six - figure author and the Amazon algorithms, and we've talked about this book, «American Demon Hunters: Sacrifice» and the how, between the four of us, the algorithms for our books could be quite messed up.

Steve and Barrie talk with Dave Chesson about Amazon's search algorithm and how to generate and validate a book idea and the tool he created to help self - published authors to streamline the process.

The fact that your specific book is being featured, talked about or recommended on relatively moderate to high ranking websites or blogs essentially tells Amazon (and by direct extension, the algorithm running in the background) that your particular Kindle book may very well be worth their while to start spreading the word about.Start contacting book review blogs and blogs in your niche for review or promotional opportunities.

I'm not only talking about the Facebook changes to their algorithm, as much as that sucks, it's not the only thing standing in the way of indie authors when it comes to reaching their readers.

Mark Dawson, the acknowledged expert on Facebook advertising for authors, took time out at the London Book Fair to talk to ALLi Director Orna Ross about what the new Facebook algorithm and other changes mean for writers

Michael Bhaskar, digital publishing director of Profile Books in the UK, will talk about the recent, profound changes Google has made to its discovery algorithms, from the advent of PageRank to the new Panda / Farmer process.

But with the popularity list, they play with that quite a lot and when you hear people talk about big algorithm changes it's usually they've done something to the popularity list.

Understanding the relationship between pressure and volume as well as how nitrogen works in your body will stand you in good stead when your tech instructor starts talking about decompression algorithms.

Download NOW This episode of The Indie Game Riot Podcast we talk about: — Steam Discovery algorithm changes (0:05:26)-- Tooth and Tail (0:20:30)-- Cultist Simulator (0:29:03)-- Eternium (0:39:02) Thanks so much for watching!

I had a chance to talk with the chief programmer Jan Ilavsky and music composer Jaroslav Beck at GDC about the development of Beat Saber, some more details about their scoring algorithm, and where they're taking it in the future.

Two weeks ago I gave a 30 minute talk on Facebook Live about how we shouldn't try to game the social media algorithms.

Unfortunately, those looking to smear us have made false accusations of us not making the data available, which was just a lie... There are legitimate issues over whether a computer program you have written to implement an algorithm; if you're talking about a Microsoft or Apple computer, they would defend to the end their right to keep that.

Now, I'm not talking about the people who read the measurements, report their algorithms, and the results, necessarily.

What you are talking about, testing how the algorithms work with synthetic data, was done quite well in Williams et al 2012, which might be worth a read if you are interested: ftp://ftp.ncdc.noaa.gov/pub/data/ushcn/papers/williams-etal2012.pdf

It's one thing to talk about how algorithms go bad, but to show the banal birth of such an algorithm seemed like a story worth telling.

This is why I get anxious when people talk about replacing juries with algorithms.

The interview talks about possible patents on the search algorithm, but nothing is on the USPTO yet.

In Tim Knight's recent Slaw post on the black box of artificial intelligence, he talked about the importance of understanding the «how» of the underlying algorithms as we become more reliant on both their results and their predictive capabilities.

We need to know what we're talking about, and what our algorithms are doing — for us and our clients.

Podcast: Play in new window DownloadBy: Christopher Small In this episode of the Law Firm Marketing Mastery Podcast I talk about Google's latest search engine algorithm update and why it's important for your internet marketing efforts.

Tim Knight's Slaw posting entitled Deep Learning Algorithms and the «Machine Learning Revolution» talks about this partnership and links to a fascinating TEDx chat by Jeremy Howard entitled «The wonderful and terrifying implications of computers that can learn.»

In a series of posts, I've used invoice review as a point of departure to talk about analytics and algorithms because the idea of machines taking on more of that thankless task should scare no one.

I'm talking about February 28 or 29, depending, which is the day Rudy Limeback calls Doomsday for the purposes of his algorithm.