How Google Utilizes Machine Learning In Its Popular Services

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How Google Utilizes Machine Learning In Its
Popular Services
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• Most tech giants invest heavily in machine
  learning and AI technologies Google is no
  exception. In 2016, it declared to become an ML
  first company, and ever since, they have been
  steadily moving towards achieving that goal.
• They have a mission to make information
  accessible to everyone and solve users problems.
  And, in this, ML has a more significant role to
  play. Machine learning helps develop intelligent
  systems that allow users to find the information
  they need and solve their problems.
• Machine learning has great room for growth as it
  is still evolving. And, if you want to make the
  most of this technology, this is undoubtedly the
  right time to make a switch. A reputed machine
  learning bootcamp in California will help you
  learn about ML algorithms, advanced ML concepts,
  deep learning, NLP, and more.

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ML has a great future, and learning it can secure
your future too. Its not surprising that Google
uses machine learning algorithms in almost all
its popular services like Gmail, Google search,
Google Maps, and more. So, if you want to work at
Google, consider learning it.
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How Google Utilizes Machine Learning In Its
Popular Services?
Google Search

• Google Search heavily uses machine learning to
  help people find relevant information. Whenever
  you type something in the Google Search engine
  box, machine learning automatically anticipates
  what you are searching for and displays the
  suggested search results for the same.

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Machine learning is at play here as it looks at
past searches, search trends, and location to
give you the most appropriate suggestions. So,
whether you want information about your favorite
celebrity or know about the weather today, Google
Search can tell you anything. RankBrain is a
great example of Googles machine learning
algorithm that gives answers to unique and
unusual queries. For example, you type a green
bird with a red head. This is definitely not a
specific query. But even then, you will get
results for it. Google will display the images of
the probable results that match your query. So,
Google search can show results for your
hypothetical questions.
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Google Maps

• Google Maps is used by numerous people whenever
  they go out of their house. This could be for
  searching a location, getting directions, finding
  the best routes, etc. The same thing happens when
  you search traffic delays on Google Map.
• Google gathers your location data, traffic
  trends, real-time government data, and user
  feedback to predict traffic and delays.
  Similarly, you can get real-time information on
  transport schedules and estimated time of arrival
  (ETA), using which you can plan your travel.

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Google Translate

• Google Translate is an excellent tool for
  converting text from one language to another.
  And, this is not only useful for text but images
  and real-time videos. Ever since it was
  introduced, it has removed all the language
  barriers as you can access information and easily
  translate it to the language of your choice. A
  training at machine learning bootcamp will
  familiarise how machine learning makes all this
  possible.
• Till a few years ago, SMT or Statistical machine
  translation (SMT) was behind Google translation.
  It went through millions of translated documents
  and looked for the common patterns and vocabulary
  to make a prediction. So, if you want to
  translate a text from English to Hindi, SMT will
  go through all the English to Hindi translations
  and suggest the most accurate translation based
  on the pattern.

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• In 2016, Google introduced Neural Machine
  Translation (GNMT), shifting its focus to deep
  neural network-based translation. With GNMT,
  there has been a drastic improvement in accuracy
  and fluency levels as it works equivalent to the
  human brain. RankBrain makes smart guesses to
  figure out which search results best fit the
  situation.

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Google Photos

• Every Android user saves their photos on Google
  Photos. Its a perfect way to store all your
  images at one location and access them anytime.
  And, you dont even have to use one device for
  this you can shoot pictures on multiple devices
  and connect them through your Google Photos.
• Machine learning offers many extraordinary
  features as it creates albums on its own based on
  the location, data, and even year. So, it does
  the sorting job for you without even asking.
  Similarly, it selects your best photos, moments
  and makes memories for you. It also sorts
  pictures based on names. So, if you are searching
  for a picture on Google Photos, you can quickly
  search up for it by typing the name.
• This happens because of the image recognition and
  deep learning technology that sort millions of
  pictures online and then classifies your images
  based on trends and patterns. For example, type
  food, and youll get all the pictures related to
  food items in your Google Photos gallery. So,
  dont forget to use this feature next time.

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Google Assistant
Google Assistant is the chatbot that can make
your life easier. Want to look for the best
restaurants near you? Book movie tickets? Set up
a reminder? Google Assistant can do the job for
you. It is a revolutionary feature that combines
Image Recognition, Google Knowledge Graph, and
Natural Language Processing (NLP) and can be
connected to your devices like phones, TV,
speakers. You can talk with your Google
Assistant, and it will formulate the answers
according to your query. NLP helps Google
Assistant interact with you, while Google
Knowledge Graph helps provide information sourced
from the Internet.
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Reverse Image Search

• Google Image Search was introduced in 2001 due to
  the overwhelming demand for the pictures of the
  green Versace dress that Jennifer Lopez had worn.
  The search results were so huge in volume that
  the Google Search platform could not handle it.
  Gradually, a few more features were added to it,
  and in 2011, the reverse search functionality
  came in place.
• Google takes the image and gives back the most
  similar images in the search results. Image
  search helps you find visual results, making it
  easier to find an exact image from another
  similar image. Many Google algorithms are at work
  here, which you will learn at a coding bootcamp.

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Google Advertising System

• Machine Learning enables Google to keep track of
  users search history. And, this history helps
  target the consumer with relevant advertisements.
  The search history and machine learning make
  Google mindful of its audiences choice and give
  suggestions only about what they prefer. Many
  bloggers and website owners earn money with this.
• AdSense displays ads on the site according to the
  content and how well it will perform there. It
  identifies the available ad space and helps you
  to boost revenue. Google Ads is another machine
  learning-powered service that helps advertisers
  bid on specific keywords and get their clickable
  ads on Googles search results. Machine learning
  improves AdWords campaigns and helps achieve
  better customer acquisition results.
• You can see how machine learning has become an
  integral part of Google. And, this is just one
  case. Most top tech companies are reliant on
  machine learning. A machine learning bootcamp is
  the right way to break into this lucrative field.

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Conclusion

• SynergisticIT is a reputed coding bootcamp with a
  decade of experience guiding students towards
  making a successful tech career. Its curriculum
  is designed to teach fundamental and advanced ML
  concepts in a structured manner. Project-based
  learning helps you gain real-world exposure and
  prepare for the job market.
• Source https//bestmachinelearningca.wordpress.co
  m/2022/01/18/how-google-utilizes-machine-learning-
  in-its-popular-services/

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