Machine Learning Applications in GOOGLE
The biggest buzzword of all times in the overall technology market is machine learning. With no surprise, Google has mastered it, and with all its applications it has made our life easy!
Sundar Pichai, the CEO of Google commented that
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 early days, but you will see us apply machine learning in all these areas.
Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look. So it comes to no surprise how much the company is investing in artificial intelligence, the future of technology.
Here I’m going to discuss some Google Application which uses Machine Learning and AI to give robust experience to their users:
1 — Google Translate:
Most of the time, when we needed to translate from one language to another, we generally use GOOGLE Translate. It is a great tool to convert text, images, or even real-time video from one language to another. And maybe you wondering to know which ML algorithm they uses. Google Neural Machine Translation (GNMT) is a neural machine translation (NMT) system developed by Google and introduced in November 2016, that uses an artificial neural network to increase fluency and accuracy in Google Translate.
2 — Google Voice Search:
Google Voice Search allows users to use Google Search by speaking on a mobile phone or computer. Google put a lot of effort into this application to make it better than other applications available in the market. Most important thing I like is integration of voice search with different applications like Map, Photos, etc. So you just need to ask and they do the remaining things…
Machine Learning Algorithm which they use behind includes PLP features, Viterbi search, deep neural networks, discrimination training, WFST framework, etc.
3 — RankBrain:
RankBrain is a component of Google’s core algorithm which uses machine learning (the ability of machines to teach themselves from data inputs) to determine the most relevant results to search engine queries.
There are over 200 different ranking factors which make up the ranking algorithm, whose exact functions in the Google algorithm are not fully disclosed. Behind content and links, RankBrain is considered the third most important signal in determining ranking on Google search.
Almost 95% of Google’s revenue come from advertisings on its search engine; so technology like RankBrain will only make the company more profitable.
4 — Google Photos:
Yeah, you read it right… Google Photos also use Machine Learning to give you better result. It uses Image Recognition to sort the photos by recognizing face. Google Photos also automatically creates albums of photos taken during a specific period without any input from you. And that’s not all, it can also select the “best photos”. And in case you haven’t sorted all your pictures into albums, you can also search for them by typing in names.
5 — DeepDream:
DeepDream is a computer vision program created by Google that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like hallucinogenic appearance in the deliberately over-processed images. I really want that you check out the Deep Dream Generator platform and try by own.
Besides these, Google has multiple applications like Google Cloud, Google Inbox Smart’s Reply etc where uses multiple Machine Algorithm…
Google has been a frontier in the development of machine learning technology by open-sourcing its tools so developers can create amazing applications themselves. Among the most popular one is TensorFlow, the #1 GitHub repository that does computation using data flow graphs for scalable machine learning. Other initiatives include Google’s Machine Learning Ninja Rotation (for internal employees only) — which pulls talented coders from different teams to participate in a regimen that teaches them the AI techniques that will make their products smarter, and the Brain Residency Program — sort of like a PhD program in deep learning.
Thanks for reading :)
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