How does Google use Machine Learning?

What is Machine Learning?

Machine Learning allows the systems to make decisions autonomously without any external support. These decisions are made when the machine is able to learn from the data and understand the underlying patterns that are contained within it. Then, through pattern matching and further analysis, they return the outcome which can be a classification or a prediction.

Machine Learning Applications In Real World

As we move forward into the digital age, One of the modern innovations we’ve seen is the creation of Machine Learning. This incredible form of artificial intelligence is already being used in various industries and professions. For Example, Image and Speech Recognition, Medical Diagnosis, Prediction, Classification, Learning Associations, Statistical Arbitrage, Extraction, Regression. Today we’re looking at all these Machine Learning Applications in today’s modern world.

These are the real world Machine Learning Applications, let’s see two of them.

1. Prediction

Machine learning can also be used in the prediction systems. Considering the loan example, to compute the probability of a fault, the system will need to classify the available data in groups. It is defined by a set of rules prescribed by the analysts. Once the classification is done, we can calculate the probability of the fault. These computations can compute across all the sectors for varied purposes.

Making predictions is one of the best machine learning applications.

2. Regression

We can apply Machine learning to regression as well.

Assume that x= x1, x2, x3, … xn are the input variables and y is the outcome variable. In this case, we can use machine learning technology to produce the output (y) on the basis of the input variables (x). You can use a model to express the relationship between various parameters as below:

Y=c(x) where c is a function that depends on specific characteristics of the model.

In regression, we can use the principle of machine learning to optimize the parameters. To cut the approximation error and calculate the closest possible outcome.

We can also use Machine learning for function optimization. We can choose to alter the inputs to get a better model.

So, this was all about Machine Learning Applications. Hope you like my explanation. Now, let's see how the top MNC are being benefitted by Artificial Intelligence(Machine Learning). We take Google here.

How MNC (Google) used Machine Learning?

Fun Fact: Google has declared itself a machine learning-first company.

With the changes around the globe, be it environmental, digital or even social, technology is the answer. The always updating platform and one step ahead search engine is nothing but, the state-of-the-art in the field. It applies AI to products and to new domains and helps in developing tools to ensure that everyone can access AI.

This is in line with the vision that Google has. The main aim is to organize the world’s information and make it universally accessible and useful to everyone. This is where AI is helpful, it helps to do things in exciting ways. It helps to solve problems for the users, customers, and the world.

With machine learning, it can develop intelligent systems that are capable of taking decisions on an autonomous basis. It learns algorithms from the past instances of data through statistical analysis and pattern matching. Then, based on the learned data, it provides with the predicted results.

Google is the master of all. It takes advantage of machine learning algorithms and provides customers with a valuable and personalized experience. Machine learning is already embedded in its services like Gmail, Google Search and Google Maps.

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

All that is fine but, how does Google take advantage of it?

Google knows how usage can be optimized. It uses artificial intelligence and satellite data to prevent Illegal work or trade, like illegal Fishing. Wow!

Google services, for example, the image search and translation tools use sophisticated machine learning. This allows the computer to see, listen and speak in much the same way as humans do. Much wow!

Google uses machine learning algorithms to provide its customers with a valuable and personalized experience. Gmail, Google Search and Google Maps already have machine learning embedded in services. Wow!

“Ok Google”(Google Home), can you provide me with some examples of Google’s services that are powered by Machine Learning?

1. Gmail

My social, promotional and primary mails might be different than what you have in your mailbox. This is filtered through Google as it labels the email accordingly. This is where machine learning plays a crucial part. The user intervention is used to tune to its threshold and 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 uses those results for categorization.

Smart replies:

This is really a smart move made by Google. Now, with the help of this feature, you can reply instantly in a second. With the suggested replies given by Gmail.’ Smart Replies’ and ‘Smart Compose’ are indeed the best products that Google has given to its customers. This is also a major reason why Google stands as one of the leading companies today.

Also, it is not just in English. It will bring support in four new languages: Spanish, French, Italian and Portuguese.

2. Google Search and Google Maps

This also employs machine learning and while you start typing in the search box it automatically anticipates what you are looking for. It then provides suggested search terms for the same. These suggestions are showcased because of past searches (Recommendations), trend (which everyone is looking for), or from your present location.

For example – Bus traffic delays – Hundreds of major cities around the world, thousands of people traveling, One machine that is learning and informing :P. Google gets all the real-time data on bus locations and forecasts it in a jiffy. So, now you don’t have to wait long hours for your bus. With the combination of time, distance traveled, and individual events as datasets, it is now possible for Google to provide predictions. Now, there is no need to rely on bus schedules provided by public transportation agencies.

With the help of your location, day of the week, and time of day, your estimated time of arrival (ETA) can be understood.

The best invention ever done for students is Google search and no one will deny it. Google Search and Google Maps use machine learning too and help the people in their day to day tasks. You must be knowing that Mr.Vimal Daga's Company LinuxWorld Informatics Pvt. Ltd created history as shown below:

Google knows everything and when you start typing in the search box it automatically anticipates what you might be looking for and provides suggested search terms. These suggestions could be based on the past searches you have made, what is popular now, or where you are at the time.

I searched for the weather and I got the results in one search. No more information or location was asked to me, Google knows everything. Happy or scared?

3.Google Assistant

It helps one to assist in everyday tasks, be it household chores or a deal worth crores. The Google Assistant makes it easy for you to search for nearby restaurants when it’s raining heavily, helps you to buy movie tickets while on the go and find the nearest theatre from your place. Also, helps you to navigate to the theater. In short, you don’t have to worry when you have a smartphone, because Google takes care of everything.

4. Google Photos

In today’s time, when the world is going gaga over pictures and is addicted to Instagram, Google Photos play an important role for Gen X and Gen Z. It is an app that stores your gallery online on a cloud, so you can access it anytime and anywhere. The best thing is that all your photos are present in a single location.

It also collects pictures of the same people or objects into organized groups. All these tasks are done automatically and an album is created by Google, which collects photos taken during a specific period, such as on a vacation, office, etc. and organize it into an album of showing the “best” photos from that trip or week. The photos will be tagged with well-known landmarks they depict and people that appear frequently.

My personal favorite is that it helps to declutter and tracks down space-wasting documents. It asks you before it removes these images from the folder. It also recommends you as well as duplicates the image so that the original one does not tamper.

5. Google Music

There is no second thought in saying that Spotify is the master of music recommendation system. It is new to India and everyone is taking it too seriously. Even I did that until I knew that both, Spotify and Google Music (music streaming services) have 30 million-plus songs available for streaming.

Spotify allows you to add the utmost of 10,000 tracks from its catalog. While with Google Play Music, you are able to handle up to 50,000 own songs without making any subscription. Google Play Music creates recommendations based on what you’re already listening to. So now you can listen to the music you have played in the past, music depending on your mood or music that Google play suggests (Because Baas Bajna Chahiye Gaana. 

6. Google Translate

During the earlier times (I mean till 2015), it was a very time-consuming thing to translate the text from an unknown language to a known language. Using word-for-word was not that effective as the reader has to mandatorily know the grammar rules and has to keep in mind all language versions while translating the whole sentence.

But, Google Translate is here to the rescue, so now you can take the backseat and let Google do all the talking. It recognizes that a picture contains text and where it is in the picture. It translates it in real-time. It is a multilingual machine translation service developed by Google, that too free of cost. It is available in 103 languages and rather than translating it in any other language, it first translates text to English and then to the target language. It serves around 500 million people daily.

Summary

By now, you must be aware of the amazing ways by which Google uses machine learning. With all these technologies and applications, work and life have become very convenient. With data availability, Google has become powerful and is enabling new solutions to problems in this modern age.