Sentences with phrase «learned about the algorithms»

When few were borrowed, I continued my research and learned about the algorithms and found working them was far more effective in selling my books and getting them into the hands of people.

Not exact matches

Her algorithm notwithstanding, Tran Kingyens has learned that spotting companies to back isn't just about data.

One of the engineers on the project wrote a blog post about the lessons learned; another was able to explore some complex color selection algorithms, an area of particular interest to her.

You think about when Google first started, the reason they snowballed as quickly as they did is because their algorithm learned from the data and that went from there.

You'll learn about industry conferences, the SEO value of press releases, SEO penalties, significant Google algorithm updates, co-citation, co-occurrence, and other advanced SEO concepts.

Learn more about how to recover from a Google algorithm update here.

Nest's algorithms have also changed slightly as Nest has learned more about its customers.

A: I'm drawing on the field of computational psychiatry, which assumes we can learn about a patient who's depressed or hallucinating from studying AI algorithms like reinforcement learning.

«Now we teach them machine learning and advanced programming, and we teach them more about data structures, algorithms, and more about software engineering,» Harvard's Lin says.

Instead of using humans — who, admittedly, expect salaries, paid leave, and health insurance — to evaluate applications and decide which candidates possess or can quickly learn needed skills, companies entrust these tasks to computer algorithms, which are cheaper in the short term but lack any ability to judge what resumes and applications indicate about applicants» abilities.

«To go beyond this we use modern machine - learning methods where you don't necessarily know how a computer has made a decision about a particular sound, but by training it, which means showing it lots of previous examples, we can encourage a computer algorithm to generalise from those.»

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.

To learn more about how some of the biggest dating sites — and platforms with a niche dating focus — are matching up people worldwide, Mashable spoke with the teams behind some of the most high - tech algorithms out there.

Algorithms could also use our online behavior to learn the real answers to questions we might lie about in a dating questionnaire.

The aim is to apply what eHarmony has learned about playing cupid to the workplace, using algorithms and other assessment tools to match applicants with their dream jobs.

London About Blog Machine Learning Magazine focuses on IoT technology trends, news and research for Internet of Things Market, Machine Learning IoT and Machine Learning Learning Algorithms Frequency about 1 post per month Website machinetomachinemagazine.com + Follow Facebook fans - 2About Blog Machine Learning Magazine focuses on IoT technology trends, news and research for Internet of Things Market, Machine Learning IoT and Machine Learning Learning Algorithms Frequency about 1 post per month Website machinetomachinemagazine.com + Follow Facebook fans - 2about 1 post per month Website machinetomachinemagazine.com + Follow Facebook fans - 2,443.

As users starts swiping, the algorithm learns about what they like and dislike.

About Blog Apple Stock News & Daily Apple Stock Predictions Based On Predictive Self - Learning Algorithm.

About Blog AI: Artificial Intelligence, Embedded Systems, Self Organizing Systems, Recurrent Systems, Hierarchical Systems, ARM Systems, Learning Paradigms, Neural Networks, Connectionist Systems, Software, Algorithms.

Seattle, WA USA About Blog Mighty AI enables machine learning teams to generate accurate and diverse annotations on their datasets to train, validate, and test their algorithms.

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!

In schools, the study of algorithms includes learning about the ways that information and processes can be represented systematically, the common building blocks of algorithms, such as loops and conditional statements, and patterns in the design of algorithms.

-- 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?

The majority of today's parents learned math by memorizing algorithms, so learning about conceptual - based number sense may be a difficult transition.

By learning about search algorithms, students will start to understand that the information they get from searching online does not simply materialize out of thin air!

Even worse, we are losing the promise and purpose of public education — and the joy — by trying to reduce everything about teaching and learning, whether for students or teachers, to a number or algorithm.

It's easy to get caught up in the Reading Wars [phonics vs whole language] and Math Wars [basic skills and algorithms vs mathematical power] and Science Wars [basics / facts vs hands - on learning] that Peter Schrag wrote about 15 + years ago when the 1997 standards were being debated.

Finally, Silk leverages the collaborative filtering techniques and machine learning algorithms Amazon has built over the last 15 years to power features such as «customers who bought this also bought...» As Silk serves up millions of page views every day, it learns more about the individual sites it renders and where users go next.

If you've followed Phoenix Sullivan's blog series about the things she's learned managing Steel Magnolia Press, you'd know that self - publishers collect enough information to pinpoint the exact week when Amazon shifted its algorithms to start taking book pricing into account on its lists.

The company notes that it has a reputation for a great typing experience — Bold series is widely considered a benchmark for physical phone keyboards — but since BlackBerry 10 is all about touch, RIM says that it's honing its algorithms to make sure that it learns how users type.

The idea behind the browser is impressive enough to be worth bragging about, but the fact that the eventual results rely on Amazon's machine learning algorithms means that it would inevitably take time to get the best out of it.

To learn more about the Minimum Correlation algorithm please take a few minutes to visit CSS Analytics.

Currently I have zero knowledge about finance / investments but have significant knowledge in math / machine learning / stats / algorithms / programming and willing to learn anything that will make me a better with my funds.

Read on to learn more about the increase in mobile searches by pet owners, the demand for user - friendly mobile sites and «Mobilegeddon» — the Google algorithm that makes mobile sites essential for all veterinary hospitals.

London About Blog Machine Learning Magazine focuses on IoT technology trends, news and research for Internet of Things Market, Machine Learning IoT and Machine Learning Learning Algorithms Frequency about 1 post per month Website machinetomachinemagazine.com + Follow Facebook fans - 2About Blog Machine Learning Magazine focuses on IoT technology trends, news and research for Internet of Things Market, Machine Learning IoT and Machine Learning Learning Algorithms Frequency about 1 post per month Website machinetomachinemagazine.com + Follow Facebook fans - 2about 1 post per month Website machinetomachinemagazine.com + Follow Facebook fans - 2,443.

Jared Bagley is a University of Helsinki student who's about to get a master degree in «Machine Learning, Algorithms and Data Analysis».

What can we learn about social media feed algorithms from Google's algorithm?

The story is flying swarms of «nanomachines» using «genetic algorithms» (so they evolve) and «distributed intelligence» (so the individual «bots can act cohesively as a swarm) become killers (in order to reproduce somehow) and learn to communicate and then learn how to make themselves look like people and also take over people to make them do their bidding (along with gaining super-strength) but luckily they have bacterial components, so the good guys release a bacteria killing virus to win (I think), My dad actually stopped the tape at one point when Crichton for no reason writes about the good guy deciding whether he should drink tea or coffee (it sure was an exciting decision) and chooses tea because it has more caffeine (which is really untrue according to what I've known all my life as well as coffeefaq.com).

I think that many non-academic people, who would be put off by technical questions like the validity of principal components algorithms, may very well be interested in what I have learned about these processes as they apply to modern climate studies.

The results are... well, more intelligent than those thrown up by Google's algorithm, more pinpoint, and they're typically accompanied on the results page by invitations to explore other aspects of the subject of your query, which can lead to not only more information but also some learning about the range of what Wolfram Alpha can do.

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.»

It takes that prior behavior — housed in huge volumes of data — and using space - age concepts such as machine learning, predictive modeling and intelligent algorithms, it makes predictions about future behavior.

It has almost two million views now and explains about as well as I've seen what machine learning is, what algorithmic bots are, and why algorithms need lots of data to work.

San Francisco, CA (Law Firm Newswire) December 30, 2015 — The new issue of Bigger Law Firm magazine features an article about Google's «RankBrain,» a part of the company's search algorithm that is a form of machine learning, or artificial intelligence.

The «extraordinary algorithm called deep learning» * was used to accomplish this task in 15 minutes something that might take «a team of five or six people about seven years.»

The algorithms will then use these images as a reference point to learn about what kind of improvements to make.

At present, most commercial machine learning algorithms learn about the world from data sets made up of videos and still images.

And the algorithm teaches itself to make smarter song recommendations the more you use Spotify and the more the algorithm learns about your listening activity.

Its core functions are to deploy its algorithms to amplify content that generates strong emotional responses among its users, and then convert what it learns about our interests and desires into targeted ads.

I worked there as the head of algorithms research, and then I learned about Bitcoin from a blog post on lesswrong.com, which is a blog about rationality, and they mentioned that the Singularity Institute [now the Machine Intelligence Research Insitute] started accepting Bitcoin donations, so that's how I first learned about it, and then of course I started looking into what it is exactly.