How Google Uses Machine Learning? (2024)

In the last five years, data scientists have created data-crunching machines by using cutting-edge methodologies. Various machine learning models have been developed that help resolve challenging situations in the real world. With the growth in technologies, various services related to the public and government sectors are getting over the internet. It makes the process fast and the reach of services increases rapidly among the citizens.

Google is really making our life easy in every aspect. Whether it is from booking a taxi to finding a dentist near me, all these tasks can be done using the various services of Google. Have you ever wondered what is behind these services? How Google makes such personalized suggestions and recommendations. It uses various machine learning algorithms with the collected data from the user to make these things possible. But before knowing how Google uses machine learning algorithms, let us have a brief look over what machine learning is.

What is Machine Learning?

Machine Learning algorithms are defined as a method that is used by Artificial Intelligence models to provide an output on the basis of some given data as an input. It is a subset of Artificial Intelligence. Machine learning algorithms are basically classified into four types that are −

• Supervised learning

• Unsupervised learning

• Semi-supervised learning

• Reinforcement learning

How Google uses Machine Learning?

Now, let us see the various ways in which Google uses the Machine learning algorithm to perform various tasks using its different services.

Google Translate

The world is developing very fast. People from different countries and different communities travel around the globe for different purposes. And one of the major factors that defined one’s ethnicity is language. There are around 6500 languages worldwide. In India only, there are 24 different languages identified by the Indian government. The Google Translate feature by Google uses Statistical Machine Translation (SMT) to help a large number of people to translate texts into their own preferred language. This helps people in various aspects such as translating the website into their own language. Also, they can understand other written texts in their own language without any manual help. Tourists traveling in other countries use Google translate to establish communication with the locals of another country. The company does not claim to translate 100% correctly in all the languages but it is able to provide a clear generalized understanding to the users.

Google Photos

In today's time, the media on any device whether it is mobile, laptop, etc is very essential part of daily life. People use various social media applications to show their status and images related to their lifestyle, and also they store many pictures for future use. All these need a good media manager. Google Photos by Google company helps a user store their pictures in the cloud. The user can access them anytime they want. There is also a backup option in Google Photos which makes your data safe and secure. Apart from these basic features, Photos by Google uses a machine learning algorithm to suggest some best pics from your travel album. It also sets a reminder notification for various timelines of your pictures. The pictures can be organized on the basis of face recognition, on the basis of location, etc.

Gmail

As we know, there is a separate account for each individual using the Gmail Service by Google. The inbox, social, and promotional sections have different mail for each Gmail user. This is because Google uses the machine learning algorithm to filter these emails and send them to each user according to their search history, browser history over the system, and interest. The Gmail service uses labeled data that shows Gmail suggestions.

Apart from these promotional emails, the Gmail service by Google also uses a smart reply feature. The Gmail service uses machine learning algorithms to suggest quick replies according to the received text in the particular mail. The user can just do very instant replies using these suggestions and this saves their time. And the quick reply feature is not limited to only the English language, it is available in various languages such as Spanish, French, Portuguese, etc.

Google Assistant

Google Assistant is now provided by almost every android device. It helps a user to get the results from all over the internet by simply using the voice command. From finding the best restaurant to booking tickets for a movie, all can be done by using your voice. This helps a user to just get their work done without disturbing their current work. You can simply keep writing something on your laptop and use google assistant to get the news headlines of today using your voice command. Google uses the algorithm to catch your oral words and converts them into text then returns the output according to the text provided as voice input.

Natural Language Processing

Natural Language Processing is used by Google to extract the meaning and the structure of the provided text. This helps to get some meaningful information out of the texts. NLP is used by an organization to extract some data about a person, place, etc to better understand the trends over the internet. This will help the organization to make better suggestions for every service to a specific user. The various uses of Natural Language Processing are Content classification, document analysis, trend spotting, understanding the sentiments of a customer, etc. The Natural Language API developed by Google is used to perform natural language processing.

Map and Navigation

Using Google maps has become very common these days. Travelers use google maps to travel to unknown places. The delivery boys, cab drivers, etc use google maps extensively to reach the delivery location. Google maps use a machine learning algorithm to suggest the best route for the searched destination. Google map also shows the various levels of traffic in the route of that specific location. It shows an estimated time of arrival (ETA) on the basis of calculations based on traffic, distance, and mode of transport.

Ad Suggestion

Whatever you search over the internet, gets tracked by the browser server. So, always be specific and aware of what you are searching for on the internet. Google uses search history and browsing interest to make an ad suggestion for each user using some machine learning algorithm. Google uses machine learning algorithms to make advertisem*nt suggestions to its users according to their history on the internet. Suppose you have searched for “formal shirts” on google. After that, if you open any social media application like Facebook, Instagram, etc, you will start getting advertisem*nts for “formal shirts”. This helps the organization reach the target audience very efficiently. That's how the Ad suggestion is used by Google.

Summary

• Machine Learning algorithms are defined as a method that is used by Artificial Intelligence models to provide an output on the basis of some given data as an input.

• The various uses of machine learning algorithms in Google services are Gmail, Google Assistant, Maps and Navigations, Natural Language Processing, etc.

• Gmail service by Google also uses a quick reply feature. The Gmail service uses machine learning algorithms to suggest quick replies according to the received text in the particular mail.

  See Also

  Google Colab for Deep Learning: A Step-by-Step Guide – Dataquest

• The Google translate feature by Google uses Statistical Machine Translation (SMT) to help a large number of people to translate the language into their own preferred language.

• Google map uses a machine learning algorithm to show an estimated time of arrival (ETA) on the basis of calculations based on traffic, distance, and mode of transport.