Machine learning has been a popular concept in modern application development trends. Companies using machine learning have a variety of applications for this clever technology.
Here are some examples of major companies using machine learning:
Yelp hosts reviews from a large assortment of businesses all over the world.
The website can give locals and tourists recommendations of restaurants, bars, salons, and even dentists in their residing area.
With the use of machine learning, Yelp has fine-tuned image curation to provide users with more accurate photo captions and attributes.
Surely, if you take to reviews to learn whether or not a new spot in town is worth the hype, pictures are an essential part of the decision-making process. And obviously, accuracy is appreciated.
Pinterest is a social media service that’s a bit off-target from the norm. On Pinterest, users share ‘pins’ to help other users discover recipes, style inspiration, DIY projects, and other lifestyle ideas.
In 2015, Pinterest announced the acquisition of Kosei, a company that provides business-to-business (B2B) machine learning capabilities for its clients.
Now, machine learning is a fundamental part of almost everything that happens on Pinterest.
Spam moderation, content discovery, and even ad monetization take place with machine learning at the center.
Facebook is a notorious social media network that you’re likely well-familiar with. But did you know Facebook Messenger has an AI embedded within its infrastructure?
Or rather, businesses create chatbots that depend on the messenger’s internal software for its operations.
For example, you can message Domino’s Pizza for an app to take you through the ordering process.
Similarly, you can book a flight and hotel through Kayak with just a quick, easy chat.
You can even schedule a makeover at your local Sephora’s, all through Facebook Messenger!
Twitter is a social media service where users exchange information through concise, primarily text-based blurbs.
That said, not every tweet is welcome. Depending on who you are, you might find some tweets more relevant and/or entertaining than others.
Luckily, Twitter uses a machine learning algorithm to score tweets based on various metrics.
Then, Twitter curates your feed, making an educated guess about what you would like to see most.
Google is a proud user of neural networks. In humans, neural networks allow the brain to create relationships between large datasets.
Naturally, artificial intelligence can imitate this ability.
Right now, Google still uses classic algorithms for natural language processing (NLP), speech translation, and search ranking, among other things.
But they are deeply invested in researching and refining neural networks to enhance further development. Google dubs this project the DeepMind.
Baidu may not be a major company in the United States, but it is definitely one of the top companies using machine learning.
In fact, Baidu is one of the largest AI and internet companies in the world. It’s based in China.
Like Google, Baidu is also interested in neural networks. Through a project called Deep Voice, they plan to engineer human speech with genuinely human voices.
HubSpot has always put its best foot forward when it comes to investing in emerging technology.
As one of the more comprehensive marketing tools in the industry, machine learning is vital to how HubSpot works.
Machine learning (ML) is a subset of artificial intelligence in which computers use data and algorithms to improve upon themselves.
What is artificial intelligence?
Artificial intelligence (AI) describes any computer system that demonstrates a human-like intelligence.
What does machine learning do?
Machine learning is a fundamental part of deep learning models, natural language processing, and processes that enrich the interaction between machines and humans.
Cordenne Brewster is a tech enthusiast whose ardor is best expressed through the written word. With contributions ranging from software development to scaling, Cordenne provides insights to keep the curious and inquisitive informed, well-read, and on-trend.