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How is Google applying Machine Learning in Everyday Life?

Machine learning and its applications are everywhere in our daily life, from typing a query into a search engine to booking tickets for a concert online. Let's see how Google is using it.

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How is Google applying Machine Learning in Everyday Life?

 ?Machine learning is a core, transformative way by which we?re rethinking how we?re doing everything. We are thoughtfully applying it all our products, be it search, ads, YouTube, or Play. And we?re in early days, but you will see us ? in a systematic way ? apply machine learning in all these areas.? 

- Sundar Pichai, Google CEO 

What is Machine Learning? 

Machine learning and its applications are everywhere in our daily life, from typing a query into a search engine to booking tickets for a concert online. Machine Learning is a type of Artificial Intelligence (AI) that allows computers to learn without being explicitly programmed. In 1959 while working at IBM, Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence coined the term "Machine Learning".

Google takes advantage of machine learning algorithms to provide its customers with valuable and personalized experience. Google already has Machine Learning embedded in services like Gmail, Google Search and Google Maps. 

Here are some examples of Google's services powered by Machine Learning-

Gmail- Have you ever wondered how the emails in Gmail are categorized as social, promotional or primary and how the emails are labeled, this is where the machine learning comes in. User Intervention is used to tune to its threshold. When a user marks a message in a consistent direction, Gmail itself performs a real-time increment to its threshold and that?s how Gmail learns for future and later use those results for categorization. 

Google Search and Google Maps- Google Search and Google Maps employ Machine Learning too. When you start typing in the search box it automatically anticipates what you might be looking for and provides suggested search terms.

 The suggestions could be based on past searches, what is popular now, or where you are at the time. 

Google Assistant- Google Assistant is a new example of Machine Learning on Android, helping you with everyday tasks. Assistant makes it easy to buy movie tickets while on the go, to find a perfect restaurant for your family to grab a quick bite before the movie starts, and then help you navigate to the theater. Today, Google Assistant is available on the new Google Pixel phone. Older phones have an earlier version called Google Now.

Google Translate-We?ve all used Google Translate at some point. It?s free, fast, and provides a generally accurate translation of a word, sentence, or paragraph that we come across in another language. While it?s not 100% accurate, especially for larger blocks of text or some specific languages, it can provide you with a general meaning of a given foreign language text. Google Translate works using statistical machine translation (SMT), where computers analyze millions of existing translated documents from the web to learn vocabulary and look for patterns in a language. Google Translate then picks the most statistically probable translation when asked to translate a new bit of text. 

Google Photos-The Google Photos app allows users to back up their photos from multiple devices in a single location, while also collecting pictures of the same people or objects into organized groups. It will do those tasks automatically, creating an album that collects photos taken during a specific period, such as on a vacation, organized into an album of showing the ?best? photos from the trip. Those photos will also be tagged with well-known landmarks they depict and people that appear frequently. 

Machine Learning
Google Photos
Google Translate
Sandeep Semwal
Content Writer