{"id":25524152,"date":"2022-05-13T20:00:10","date_gmt":"2022-05-13T14:30:10","guid":{"rendered":"https:\/\/entri.app\/blog\/?p=25524152"},"modified":"2022-05-13T18:26:25","modified_gmt":"2022-05-13T12:56:25","slug":"what-are-machine-learning-applications-by-google","status":"publish","type":"post","link":"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/","title":{"rendered":"What Are Machine Learning Applications by Google?"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79_2 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69d328bb338b4\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69d328bb338b4\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/#1_Natural_Language_Processing\" >1) Natural Language Processing<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/#2_Cloud_Speech_API\" >2) Cloud Speech API<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/#3_Support_Vector_Machines_SVM\" >3) Support Vector Machines (SVM)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/#4_Google_Cloud_Vision_API\" >4) Google Cloud Vision API<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/#5_Translation_API\" >5) Translation API<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/#6_Knowledge_Vault\" >6) Knowledge Vault<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/#7_YouTube_Text_Detection\" >7) YouTube Text Detection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/#8_Optical_Character_Recognition_OCR\" >8) Optical Character Recognition (OCR)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/#9_Smart_Reply\" >9) Smart Reply<\/a><\/li><\/ul><\/nav><\/div>\n<p>These days, everyone has an idea of what machine learning is and how they can apply it to their own business or their own life. But the true revolution in this technology isn\u2019t the applications that we\u2019re aware of; it\u2019s the ones we aren\u2019t yet aware of. In fact, there are many Google Machine Learning applications that we don\u2019t know about! We\u2019ll discuss\u00a0 Google Machine Learning applications you probably don\u2019t know about and how they change the world of technology as we know it. <span data-slate-fragment=\"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\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">Machine learning<\/a>, and artificial intelligence technology, have been integrated into many aspects of our lives and work in ways that most of us never even realized. It\u2019s everywhere\u2014in Google search results, smart cars, video game characters\u2014and it\u2019s only going to get more prevalent in the future as machine learning becomes even more powerful and precise. In this article, we\u2019ll take a look at ten machine learning applications developed by Google that are impacting our world in ways that you may not have even known about yet! Google has one of the largest computational machine learning teams in the world, and they\u2019re constantly coming up with new ways to apply their impressive research findings to real-world problems. In fact, Google\u2019s machine learning technologies are improving the lives of people all over the world by changing how doctors treat diseases, how we get around cities, and even how we shop online at stores like Amazon and eBay.<\/span><\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">Get the latest updates on machine learning in the Entri app<\/a><\/p>\n<p><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-25520997 size-full\" src=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Rectangle.png\" alt=\"\" width=\"970\" height=\"250\" srcset=\"https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Rectangle.png 970w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Rectangle-300x77.png 300w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Rectangle-768x198.png 768w, https:\/\/entri.app\/blog\/wp-content\/uploads\/2022\/04\/Python-and-Machine-Learning-Rectangle-750x193.png 750w\" sizes=\"auto, (max-width: 970px) 100vw, 970px\" \/><\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"1_Natural_Language_Processing\"><\/span><strong>1) Natural Language Processing<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>One of my favorite applications of machine learning is Natural Language Processing (NLP). Through NLP, computers are able to understand human language and communicate in a way that\u2019s as fluid as our own. I love NLP because it makes data much more accessible and available to everyone. Instead of reading from dry tables and spreadsheets, you can ask questions about your data or look at trends visually, like in those gorgeous infographics. The explosion of<a href=\"https:\/\/entri.app\/blog\/machine-learning-course-with-placement-and-industry-trends\/\" target=\"_blank\" rel=\"noopener\"> visualizations has<\/a> been one of my favorite changes from when I first started working with data to now. And who knows? Maybe someday you\u2019ll be able to interact with that visualization in real-time like on The Holodeck on Star Trek! Although there\u2019s still work to do before we get there, many people are using natural language processing today for practical purposes. A few examples include Google Translate \u2013 This tool translates text between languages, so if you\u2019re traveling abroad or want to talk to someone overseas in their native tongue, it can help. It also helps translate speech into text so that software can read what someone says instead of just hearing them speak. They even have an app called Translate Voice which translates speech into text on your phone. Pretty cool!<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">To know more about machine learning in the Entri app<\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"2_Cloud_Speech_API\"><\/span><strong>2) Cloud Speech API<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>If you\u2019re an app developer, then you probably haven\u2019t heard of Cloud Speech API. But if you want to provide voice-to-text functionality in your app or site, then you\u2019re missing out on a powerful and useful service\u2014one that has also just gotten better. Starting today, Cloud Speech API has become generally available to all developers for use at no charge. What does that mean? It means that anyone can now add speech recognition capabilities to their apps without having to manage servers or do any heavy lifting themselves. It&#8217;s a great tool for anyone who wants to build voice commands into their next mobile app. And it&#8217;s going to get even better as well: over time, Google will update its neural network models with more languages, dialects, and variants so that it can handle even more spoken languages around the world. It&#8217;s not just limited to English either: support is already there for Spanish (Spain), French (France), German (Germany), Japanese, Korean, Mandarin Chinese (China), Mandarin Chinese (Taiwan), and Portuguese (Brazil) and Russian. More are coming soon too.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">Enroll in our latest machine learning course in Entri app<\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"3_Support_Vector_Machines_SVM\"><\/span><strong>3) Support Vector Machines (SVM)<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>SVM is a classifier based on statistical learning theory that finds a hyperplane in a high-dimensional space whose margin (or distance to closest training data point) is maximal. In other words, it can be used to find separating hyperplanes in feature spaces with many dimensions that are maximally dissimilar to each other. To find these best separating hyperplanes, SVM employs kernel functions. A kernel function is a similarity function which measures distance between objects based on some notion of similarity. For example, if you have two images and measure their difference using pixel values, you get a scalar value for every pair of pixels. If you use an appropriate kernel function on those two images, you can get back vectors instead of scalars; i.e., now your output has dimensionality equal to <a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">number of<\/a> pixels in both images combined. This means that if your input has N dimensions and M features per dimension, then your output will have NM features! This is called kernel trick and its utility lies in reducing computational complexity by orders of magnitude while retaining all relevant information about underlying data distribution. The most popular choice of kernels for SVM is Radial Basis Function (RBF). Another popular choice is polynomial kernels like Polynomial Kernel Support Vector Machines or Polynomial Kernel Ridge Regression. The former uses degree 1 polynomials as kernels, whereas latter uses degree 2 polynomials as kernels. Although RBF kernel has been shown to perform better than polynomial kernels on certain datasets, polynomial kernels still hold good in most cases and thus remain popular choices among practitioners.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">Start your coding preparation with Entri app<\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"4_Google_Cloud_Vision_API\"><\/span><strong>4) Google Cloud Vision API<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Developers can use Vision API to understand the contents of an image by implementing a few lines of code in their application. The service supports face detection, optical character recognition, barcode detection and labeling, landmark recognition and detection, image tag prediction, and image similarity search. On top of all that, it&#8217;s completely free if <a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">developers pass<\/a> on making more than 1 million requests per month. Aside from using Vision API as a developer tool, customers can also use it to build custom solutions with TensorFlow\u2019s pre-trained models or transfer learning\u2014the process of applying knowledge from one source domain to another. For example, a customer could take an existing model trained for detecting images of dogs and apply it to detect cats instead. This approach enables rapid prototyping and model development without having to go through training from scratch. If you&#8217;re looking to get started, check out our tutorial on how to use Cloud Vision with Node.js.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">Get the latest updates on machine learning in the Entri app<\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"5_Translation_API\"><\/span><strong>5) Translation API<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Think of translation software as a type of instant messaging that allows you to communicate seamlessly with people in other languages, no matter where they\u2019re located. We\u2019ve come a long way from having to learn every language or ask someone who speaks it fluently to translate messages for us (which can be costly and time-consuming). Google Translate offers <a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">92 languages<\/a> (at last count) and has gone from simple text translations to full human-sounding voices! It&#8217;s free, easy to use, and can work offline. What could be better? Be warned: The more you use it, though, the more likely you are able to convince yourself that its voice really is human\u2014but only up until that point when it starts dropping F-bombs all over your sentence. Keep it classy, Google. That\u2019s not machine learning; that\u2019s just plain creepy. But then again, maybe we should expect nothing less from a company that tracks our online behavior so closely&#8230;and then tries to sell it back to us. Okay, I digress. Here are\u00a0 machine learning applications by Google you didn&#8217;t know were changing the world:<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">To know more about machine learning in the Entri app<\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"6_Knowledge_Vault\"><\/span><strong>6) Knowledge Vault<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When you think of machine learning, you probably think of self-driving cars, virtual assistants and other futuristic technologies. However, there are many practical applications for machine learning that may be closer to home than you realize. For example, Google uses knowledge vaults to make their search engines work faster and more accurately. Knowledge vaults make use of a number of tools from deep learning to rule induction in order to find answers quickly and accurately. This technology allows millions of people around the world access reliable information within seconds\u2014just try it out on your own laptop! It seems as though every day we&#8217;re faced with an onslaught of new information; it&#8217;s easy to see how <a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">knowledge vaults<\/a> could improve our daily lives exponentially by helping us deal with large quantities of information more efficiently. So what exactly is a knowledge vault? A knowledge vault is essentially just another name for artificial intelligence (AI). Instead of relying on AI alone, however, Google has found success using a blend of both AI and human expertise. The reason why these two approaches complement each other so well is because they operate at different levels: AI operates at an abstract level while humans operate at a detailed level. Combining these two forces together allows them to cover all bases when answering questions or providing recommendations. The first step in creating a knowledge vault is to gather data. Although computers can process data much faster than humans can, they aren\u2019t very good at analyzing large amounts of unstructured data like documents or images.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">Get the latest updates on machine learning in the Entri app<\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"7_YouTube_Text_Detection\"><\/span><strong>7) YouTube Text Detection<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Have you ever wondered how YouTube is able to auto-play videos that match your search terms? It\u2019s thanks to YouTube\u2019s text detection machine learning model, which is able to look at a video and detect text onscreen. It also learned how to separate spoken words from background noise in order to facilitate voice search. It can even detect certain objects like stop signs and <a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">buildings in<\/a> a video and tag them with keywords that make it easier for people searching through content. Before you dismiss text detection as a simple task, consider that there are over 5 million hours of video uploaded every single day\u2014and if humans couldn\u2019t do it manually, something automated would have to be invented. The good news is that we now have more accurate models than ever before! For example, when detecting human faces, GoogLeNet was able to achieve an accuracy rate of 97.3 percent compared to humans who only achieved 97.12 percent. That may not seem like much, but considering that computers were only able to recognize 50 percent of all images five years ago, these improvements are significant.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">To know more about machine learning in Entri app<\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"8_Optical_Character_Recognition_OCR\"><\/span><strong>8) Optical Character Recognition (OCR)<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>OCR, or Optical Character Recognition, is a technology that automatically identifies printed words and converts them into digital text. In plain English, it means your files are scanned in (called scanning) and converted into editable and searchable documents. This has obvious benefits for research on historical texts. OCR is used in many sectors of industry, including: legal, human resources, IT management, finance and education. Since its inception in 1991 by Kurzweil Computer Products Inc., OCR has been one of machine learning\u2019s biggest successes. The first commercial <a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">application was<\/a> developed by Xerox in 1981, but they failed to make it commercially viable. It wasn\u2019t until Kurzweil came along that OCR became something we all use today. It\u2019s estimated that around 80% of Fortune 500 companies now use OCR. If you have ever done any kind of data entry, you have probably benefitted from optical character recognition. In addition to improving efficiency and accuracy when entering data, optical character recognition software can also be used as an automated proofreading tool \u2013 allowing users to identify spelling errors before saving their work. OCR software can also be used for document retrieval, making long-term storage more efficient \u2013 particularly useful for businesses who need access to their archived records at short notice. One such example is GEICO Insurance Company who discovered over 100GB worth of previously unretrievable information using an automated document retrieval system.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">Get the latest updates on machine learning in the Entri app<\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"9_Smart_Reply\"><\/span><strong>9) Smart Reply<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A Smart Reply is an automated reply to email that contains a short response to your correspondent&#8217;s message and lets you easily send it. As of March 2016, Gmail supports Smart Reply for 19 languages: Arabic, Danish, Dutch, English (Canada), English (UK), Finnish, French (France), German, Hindi, Italian, Japanese, Korean, Norwegian (Bokma\u030al), Portuguese (Brazil), Russian and Spanish. With Google Cloud Translation API in Translate HTTP service to send an email in one <a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">language and<\/a> receive a response in another language along with a translation of all emails from a source email into one or more target languages. To be able to use machine learning capabilities of smart reply feature your system should have enough data stored in google cloud storage. That means that if you want to translate an email from english to german, your system should store at least two different versions of each word in order to understand what word is used when and where. That requires storing a lot of data on your local machine which can take up space. In order to avoid having too much space taken up by storing all these translations we can use google cloud storage instead so that we can store our translation there and get it back when needed instead of having them stored locally on our computer. This will allow us to make sure we don\u2019t run out of space on our local computer as well as make sure we are using machine learning capabilities when needed but not taking up unnecessary space on our computers when they aren\u2019t needed. If you are interested to learn new coding skills, the Entri app will help you to acquire them very easily. Entri app is following a structural study plan so that the students can learn very easily. If you don&#8217;t have a coding background, it won&#8217;t be any problem. You can download the Entri app from the google play store and enroll in your favorite course.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/entri.sng.link\/Bcofz\/w75k\/zvbw\">Get the latest updates on machine learning in the Entri app<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>These days, everyone has an idea of what machine learning is and how they can apply it to their own business or their own life. But the true revolution in this technology isn\u2019t the applications that we\u2019re aware of; it\u2019s the ones we aren\u2019t yet aware of. In fact, there are many Google Machine Learning [&hellip;]<\/p>\n","protected":false},"author":93,"featured_media":25524155,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[802,1864,1882,1883,1881],"tags":[],"class_list":["post-25524152","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","category-data-science-ml","category-java-programming","category-react-native","category-web-android-development"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What Are Machine Learning Applications by Google? - Entri Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/entri.app\/blog\/what-are-machine-learning-applications-by-google\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Are Machine Learning Applications by Google? - Entri Blog\" \/>\n<meta property=\"og:description\" content=\"These days, everyone has an idea of what machine learning is and how they can apply it to their own business or their own life. But the true revolution in this technology isn\u2019t the applications that we\u2019re aware of; it\u2019s the ones we aren\u2019t yet aware of. 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