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10 masjienleertegnologieë wat u onbewustelik gebruik

Wat is masjienleer? 'N Definisie | Deskundige.ai

Bron: Gratis foto | Vrou wat aan 'n slim tegnologiese holografiese koppelvlak raak

As jy van hoor machine learningU eerste gedagte kan wees dat dit 'n gevorderde tegnologie is wat niks met u lewe te doen het nie. Maar in werklikheid, masjien leer en die gepaardgaande tegnologie van kunsmatige intelligensie (AI) is iets wat ons meer gereeld gebruik as wat u dink. 

In eenvoudige terme, masjien leer is 'n toepassing van AI waarmee stelsels outomaties kan leer en verbeter op grond van ervaring. Met ander woorde, dit gee masjiene die moontlikheid om toegang tot data te kry en dit te gebruik om hulself te leer. 

Hier is 'n paar gebruiksgevalle van u om u 'n beter idee te gee masjien leer wat ons lewens reeds verbeter. 

Ontsluit u foon met Face ID

Die meerderheid van ons vertrou reeds op gesig -ID's om ons telefone te ontsluit. In werklikheid kombineer u telefoon kunsmatige intelligensie en masjien leer om hierdie funksie moontlik te maak. Elke keer as u u telefoon ontsluit, neem die AI die beeld van u gesig vas. 

Die gebruik van masjien leer algoritmes vergelyk AI dan die prentjie met wat reeds in die stelsel gestoor is om te bepaal of dit dieselfde persoon is. Dit is nog meer merkwaardig om te weet dat al hierdie dinge binne 'n paar sekondes gebeur. 

In opvoedkundige instellings

Die opvoedkundige landskap gaan reeds deur 'n digitale transformasie. The use of technologies has now simplified many tasks that once required manual evaluation. Machine leer helps schools and colleges develop individualized leer programme. 

Of course, although not widely applied yet, this masjien leer tech is implemented only in several schools and is not a universal solution. For instance, to get an essay tailored according to your requirements and writing style, you still need an opstel helper van EssayHub, die beroemde diensopsteldiens. 

Egter masjien leer already makes it possible to develop unique curricula for students catering to their specific needs, strengths, and weaknesses. 

Teksvoorspellings 

You might have noticed how Gmail predicts responses to emails you have received or finishing your sentences. Machine leer is used to autocorrect your messages and come up with responses based on the stored data. 

Daarbenewens word dieselfde tegnologie ook gebruik in skryfhulpmiddels soos Grammarly wanneer gevorderde spel- en grammatikakontrole van 'n dokument nodig is. 

E-pos segmentering 

Over the years, we have been so used to spam filters and email segmentation that we no longer even bother to filter them. In fact, these smart features of your inbox are run by masjien leer and AI that filter out messages. However, as scammers get creative, the AI will also have to work around the newly designed messages. 

Dit is waar masjien leer comes in – to constantly update the system to define what constitutes spam. Furthermore, the same concept is applied to segment emails into promotions, priority inboxes, and more. 

Soekenjins 

It is almost impossible to go through the day without using a search engine at least once. Search engines use the power of AI to scan the entire internet to find the exact match for your queries. The engine is continuously leer to identify what kind of answers are the best fit. 

Moreover, all the ads that you keep seeing on browsers are based on your search history and personalized for your needs. And you can thank the search engine’s masjien leer algorithms for this. 

Kaarte 

The digital maps we use so often, let those be from Google or Waze, use masjien leer to provide you with:

  • geskatte aankomstye;
  • verslae oor padongelukke;
  • konstruksie wat die reistyd kan belemmer of verander. 

Die kaarte gebruik sulke reishulpmiddels met behulp van AI om verkeer te monitor en dui die beste roete aan om tyd te bespaar. 

Ridesharing-programme 

Het u al ooit gewonder hoe ritdeel-programme soos Uber die prys van die rit bepaal? Die tariewe is immers nie vas nie, of hoe? Boonop slaag hierdie dienste daarin om u te pas by die naaste passasiers sowel as motors. 

The companies used masjien leer to predict the demand from riders to come up with the right prices and avoid any surges. Uber also uses the same technology to estimate travel times and meal delivery times for the UberEATS app. 

Bank 

Kunsmatige intelligensie en masjien leer are also visible in the mobile banking systems we currently use. It plays a significant part in ensuring the sekuriteit of our transactions. 

Vandag masjien leer allows you to deposit cheques on your phone, receive a low-balance alert and even keep your bank accounts updated within a matter of seconds. In fact, AI is constantly working in the shadows verifying all purchases you make, validating, and declining the transactions. 

Streaming Services 

When looking for entertainment, most of us want to turn to Netflix or Prime and chill. But more often than not, we spend a lot of time surfing through what’s on offer. Netflix uses masjien leer to look through your previous search history to give you recommendations on what you might be interested in. 

It can also guess such specific things as the time of the day you want to watch something. In fact, most of what we watch is based on what masjien leer technology suggests. 

Sosiale media 

Last but not least, our sosiale media networks are constantly employing masjien leer and AI to offer you tailored feed on your devices. These technologies have already learned what kind of posts you like and whom you like to follow. It figures this out from your friends’ list and filters the content. It also uses ML to prevent the spread of fake news and cyberbullying. 

Soos jy kan sien, masjien leer has integrated into our lives so seamlessly that we have been dependent on it unknowingly. While this technology advances, we can expect to see more changes that can directly impact our daily lives. As of now, we already resort to it to optimize the ways we use our time, enhance productivity, and even make important decisions. 

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