{"id":6489,"date":"2019-11-21T07:21:52","date_gmt":"2019-11-21T07:21:52","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=6489"},"modified":"2019-11-21T11:24:05","modified_gmt":"2019-11-21T11:24:05","slug":"5-examples-of-machine-learning-you-should-know-about","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/5-examples-of-machine-learning-you-should-know-about\/","title":{"rendered":"5 Examples of Machine Learning You Should Know About"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_45_1 counter-flat ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" area-label=\"ez-toc-toggle-icon-1\"><label for=\"item-69f1776b0bb29\" aria-label=\"Table of Content\"><span style=\"display: flex;align-items: center;width: 35px;height: 30px;justify-content: center;direction:ltr;\"><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><\/label><input  type=\"checkbox\" id=\"item-69f1776b0bb29\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.kolabtree.com\/blog\/5-examples-of-machine-learning-you-should-know-about\/#1_Music_Spotify_and_Soundcloud\" title=\"1. Music: Spotify and Soundcloud\u00a0\">1. Music: Spotify and Soundcloud\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.kolabtree.com\/blog\/5-examples-of-machine-learning-you-should-know-about\/#2_PathAi_Quick_Diagnosis_with_Tensorflow\" title=\"2. PathAi: Quick Diagnosis with Tensorflow\u00a0\">2. PathAi: Quick Diagnosis with Tensorflow\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.kolabtree.com\/blog\/5-examples-of-machine-learning-you-should-know-about\/#3_Concerto_Medical_Data_Science_Via_ML\" title=\"3. Concerto: Medical Data Science Via ML\u00a0\">3. Concerto: Medical Data Science Via ML\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.kolabtree.com\/blog\/5-examples-of-machine-learning-you-should-know-about\/#4_Web_Personalization_What_You_Like_When_You_Want_It\" title=\"4. Web Personalization: What You Like, When You Want It\u00a0\">4. Web Personalization: What You Like, When You Want It\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.kolabtree.com\/blog\/5-examples-of-machine-learning-you-should-know-about\/#5_Education_As_a_Whole\" title=\"5. Education As a Whole\u00a0\">5. Education As a Whole\u00a0<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.kolabtree.com\/blog\/5-examples-of-machine-learning-you-should-know-about\/#Conclusion\" title=\"Conclusion\">Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<p><em><span style=\"font-weight: 400;\">Paul Matthews, freelance tech writer, writes about examples of machine learning across the the <a href=\"https:\/\/www.kolabtree.com\/blog\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">healthcare<\/a>, entertainment, marketing and education industries.\u00a0<\/span><\/em><\/p>\n<p>From front end development to the automotive sector, the applications of <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=ML-Surprising-Applications\">machine learnin<\/a>g for business purposes is bigger than ever. Examples of machine learning in the real world include recommendation engines, object detection, natural language processing, and more. Let&#8217;s analyse five interesting examples of how ML is being used to deliver better online experiences and advance healthcare and education.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"1_Music_Spotify_and_Soundcloud\"><\/span><b>1. Music: Spotify and Soundcloud\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">\u00a0Companies like Universal, Sony and EMI have gone through a massive digitalization in the past 10 years, evolving from &#8220;selling a certain number of records&#8221; to &#8220;streaming that record for &#8216;n&#8217; number of times&#8221;. Monetization via ads through plays on portals like Youtube, Spotify and Soundcloud is something sought after. How can these platforms constantly drive traffic and ears towards their releases in such a noisy music marketplace? By automatically attracting more and more users, with Machine Learning tools. How many times you&#8217;ve seen (or better, heard) a random track in your daily mix advised as &#8220;something based on your tastes&#8217;? The answer to this very matter is a relatively simple application which combines<\/span><\/p>\n<p>1. the actual song&#8217;s structure, and<br \/>\n<span style=\"font-weight: 400;\">2. the fact that users have played your song of choice before or after the recommended one.<\/span><\/p>\n<p>Both Spotify and Soundcloud use ML algorithm to understand and analyze the user&#8217;s choices and make a decision based on the info they&#8217;ve gathered.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone wp-image-6494 \" src=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-1024x683.jpg\" alt=\"\" width=\"462\" height=\"308\" srcset=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-1024x683.jpg 1024w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-300x200.jpg 300w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-768x512.jpg 768w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-1080x720.jpg 1080w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone.jpg 1350w, https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2019\/11\/phone-300x200@2x.jpg 600w\" sizes=\"(max-width: 462px) 100vw, 462px\" \/><\/p>\n<h2><span class=\"ez-toc-section\" id=\"2_PathAi_Quick_Diagnosis_with_Tensorflow\"><\/span><b>2. PathAi: Quick Diagnosis with Tensorflow\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">PathAi is mainly aTensorflow based application which helps in speeding up diagnosis by associating symptoms and other environmental variables (demographic, location and such). PathAI&#8217;s biggest selling point is the fact that not only it could be launched on a completely cloud-based architecture, but it is also extremely slim, compared to other bulky pieces of software in the healthcare sector, which are, sometimes, requiring ad-hoc hardware. PathAi is definitely set to become extremely big in the nearest future, given its recent wave of investment which amounted for over $11 million.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is quite hard to list any ML or tech-related medical startup as a future &#8220;industry standard&#8221; but, for now, we can safely say that PathAi is setting the foundation in regards to the future of health and technology.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"3_Concerto_Medical_Data_Science_Via_ML\"><\/span><b>3. Concerto: Medical Data Science Via ML\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">With Concerto, we&#8217;re still analysing the healthcare sector and its machine learning-based applications. When Concerto was developed, their creators had a clear idea: building something which could have helped oncologists, surgeons and general doctors in understanding symptoms, by automatically processing bulky, sometimes confusing databases within a fraction of second. Concerto is, in fact, the first data science-related tool for medical purposes. Built in New York by a team of former data scientists, Concerto has been a refreshing scent of technology in a medical world which, in terms of data processing, still relies on paper and slow communication between professionals, making, sometimes, the development of any form of procedure slow and stressful. Concerto is a strong, tangible example of how data science applies to infrastructures and architectures for building processes and not for mere marketing goals and retargeting ads. Concerto is set to become the most used database in 2025, at least in the states.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"4_Web_Personalization_What_You_Like_When_You_Want_It\"><\/span><b>4. Web Personalization: What You Like, When You Want It\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Ah, machine learning and marketing. If this isn&#8217;t the biggest combination of the decade, then there isn&#8217;t another one. With web personalization, we refer to the usage of a number of programming languages (mainly Python and Javascript) to optimise a catalogue, a product listing, or a piece of content on a web page\/application. The personalization process is divided into 3 main sections, acquisition, processing and build.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">-The <strong>acquisition<\/strong> part refers to data gathering which is done when a user lands on a page (mainly via cookies, therefore), answers a survey via email, or types anything on the page&#8217;s search box. This part must be clarified to the user following GDPR&#8217;s latest ruling.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">-The <strong>processing<\/strong> part is related to the usage of Python libraries which are, indeed, processing users&#8217; behaviours, creating data points in an internal data lake environment, which effectively become guidelines for Javascript tools which are rendering this data in customised content.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">-The <strong>build<\/strong> process is the one which happens when the above-mentioned Javascript tool optimises the page. If, for example, the guidelines within those data points are saying that the user x, who likes red shoes, is currently browsing the footwear section, the JS-based application will move such results on top, increasing, therefore, the site&#8217;s conversion rate. Very simple, yet very effective.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Personalization is being used by several brands including Zara, Primark, Boohoo and ASOS.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"5_Education_As_a_Whole\"><\/span><b>5. Education As a Whole\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">There are dozens of education-related startups which are building machine learning-based tools to improve this educational sector. What is their goal?\u00a0<\/span><span style=\"font-weight: 400;\">Here are some examples of machine learning uses in education:\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&#8211; Problem solving and getting accurate data easily. Imagine having a teacher who can access complicated problems in a matter of seconds, to then explain them in the simplest form after the software has shrunk them down, depending on the audience&#8217;s level.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&#8211; Automatically creating tasks and exams based on the topic, its level of difficulty and more. Pretty life saving for a teacher, right? An ML algorithm for this could be trained to put out an exam paper with the required level of difficulty and could also have the solutions automatically calculated.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">&#8211; Analyzing and predicting the class&#8217;s progress, by analysing the success rate of exams and essays, will help teachers in evaluating themselves as well<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span><b>Conclusion<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The examples of machine learning in today&#8217;s world are endless. It&#8217;s easy to understand why the future of ML is so bright, both from a business perspective as well as user perspective. The future is, indeed, automated.<\/span><\/p>\n<p><strong>Need to consult a <a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning?utm_source=Blog&amp;utm_medium=Post&amp;utm_campaign=ML-Surprising-Applications\">machine learning exper<\/a><a href=\"https:\/\/www.kolabtree.com\/find-an-expert\/subject\/machine-learning\">t<\/a>? Hire freelance scientists on Kolabtree.\u00a0 It&#8217;s free to post your project and get started.\u00a0<\/strong><\/p>\n<p><em>Paul Matthews is a Manchester-based business and tech writer who writes in order to<\/em><br \/>\n<em>better inform business owners on how to run a successful business. He\u2019s currently<\/em><br \/>\n<em>consulting the biggest team of <a href=\"https:\/\/www.apadmi.com\/\">app developers<\/a> in Manchester.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Paul Matthews, freelance tech writer, writes about examples of machine learning across the the healthcare, entertainment, marketing and education industries.\u00a0 From front end development to the automotive sector, the applications of machine learning for business purposes is bigger than ever. Examples of machine learning in the real world include recommendation engines, object detection, natural language<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/5-examples-of-machine-learning-you-should-know-about\/\" title=\"Read More\">Read More<\/a><\/div>\n","protected":false},"author":12,"featured_media":6495,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[434,398,433],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>5 Examples of Machine Learning You Should Know About<\/title>\n<meta name=\"description\" content=\"The examples of machine learning uses in the real world range from personalized recommendations to advancing medical care. 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