{"id":3298,"date":"2021-08-06T13:45:11","date_gmt":"2021-08-06T13:45:11","guid":{"rendered":"https:\/\/mobilecoderz.com\/blog\/?p=3298"},"modified":"2023-07-24T10:43:56","modified_gmt":"2023-07-24T05:13:56","slug":"why-consider-machine-learning-in-your-mobile-app-development-process","status":"publish","type":"post","link":"https:\/\/mobilecoderz.com\/blog\/why-consider-machine-learning-in-your-mobile-app-development-process\/","title":{"rendered":"Why Consider Machine Learning in Your Mobile App Development Process?"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">ML is the subdivision of Artificial Intelligence. This software tool can empower to envisage, explore, and learn the outcomes without any human interference. Nowadays, ML is employed in different sectors and fields. <\/span> <span style=\"font-weight: 400;\">Machine Learning is aggressively used in <\/span><a href=\"https:\/\/mobilecoderz.com\/mobile-app-development\" target=\"_blank\" rel=\"noopener\"><b>mobile app development<\/b><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">AI and ML jointly have crafted some amazing, intelligent, and smart solutions. These tools can even understand the pattern of humans. This tool can even do behavioral analysis and develop strong algorithms. It can deploy mobile apps to interact, entertain, and deliver the best-personalized experience to the users. A <\/span>mobile app development company <span style=\"font-weight: 400;\">can implement the best solutions.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">For instance, Facebook has employed this tool to understand the <\/span><span style=\"font-weight: 400;\">behavioral pattern of the users<\/span><span style=\"font-weight: 400;\">. With this, they are offering customized solutions and experiences for their users.\u00a0<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">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\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><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><\/span><\/a><\/span><\/div>\n<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:\/\/mobilecoderz.com\/blog\/why-consider-machine-learning-in-your-mobile-app-development-process\/#Combination_of_Legacy_Mobile_App_Development_and_Machine_Learning\" >Combination of Legacy: Mobile App Development and Machine Learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/mobilecoderz.com\/blog\/why-consider-machine-learning-in-your-mobile-app-development-process\/#Types_of_Algorithms_of_Machine_Learning_for_Android_and_iOS_apps\" >Types of Algorithms of Machine Learning for Android and iOS apps<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/mobilecoderz.com\/blog\/why-consider-machine-learning-in-your-mobile-app-development-process\/#Advantages_of_Machine_Learning-Based_Mobile_Apps\" >Advantages of Machine Learning-Based Mobile Apps<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/mobilecoderz.com\/blog\/why-consider-machine-learning-in-your-mobile-app-development-process\/#Essential_of_Machine_Learning_for_Mobile_Apps\" >Essential of Machine Learning for Mobile Apps<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/mobilecoderz.com\/blog\/why-consider-machine-learning-in-your-mobile-app-development-process\/#In_a_conclusion\" >In a conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Combination_of_Legacy_Mobile_App_Development_and_Machine_Learning\"><\/span><b>Combination of Legacy: Mobile App Development and Machine Learning<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><img decoding=\"async\" class=\"alignnone wp-image-3299 size-full lazyload\" data-src=\"https:\/\/mobilecoderz.com\/blog\/wp-content\/uploads\/2021\/08\/Deloitte-Global-Mobile-Consumer-Survey.jpg\" alt=\"machine learning app development\" width=\"auto\" height=\"auto\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 960px; --smush-placeholder-aspect-ratio: 960\/684;\" \/><noscript><img decoding=\"async\" class=\"alignnone wp-image-3299 size-full\" src=\"https:\/\/mobilecoderz.com\/blog\/wp-content\/uploads\/2021\/08\/Deloitte-Global-Mobile-Consumer-Survey.jpg\" alt=\"machine learning app development\" width=\"auto\" height=\"auto\" \/><\/noscript><\/p>\n<h3 style=\"text-align: justify;\"><b>Examples of ML-Based Mobile Apps<\/b><\/h3>\n<ul style=\"text-align: justify;\">\n<li><span style=\"font-weight: 400;\">e-Commerce mobile apps<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Mobile apps for fitness and health<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Apps for Fintech<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Mobile apps based on Data Mining<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Healthcare mobile apps<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Telemedicine mobile apps<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Travel and tourism mobile apps<\/span><\/li>\n<\/ul>\n<h3 style=\"text-align: justify;\"><b>So, why should you build a Machine Learning mobile app?<\/b><\/h3>\n<ol style=\"text-align: justify;\">\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">After the integration of Machine Learning, Almost 76% of enterprises saw higher sales.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">This technology can predict the user behavior, process all optimization, cross-sell, and lead up the sell.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">50% of business owners have applied this technology to refine the marketing issues.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Machine Learning has assisted numerous European banks in expanding the sales of the product by 10%.<\/span><\/li>\n<\/ol>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">These stats and facts clearly clarify that this is the right time to invest in <\/span>Machine Learning mobile application development<b>.<\/b><\/p>\n<h2 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Types_of_Algorithms_of_Machine_Learning_for_Android_and_iOS_apps\"><\/span><b>Types of Algorithms of Machine Learning for Android and iOS apps<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">This innovation can automate the algorithms for decision-making and data processing. These kinds of algorithms improvise their operation following the results of their work. Thus these tools can provide great support for <\/span><a href=\"https:\/\/mobilecoderz.com\/blog\/a-deep-intro-to-julia-a-new-go-to-programming-language-for-machine-learning-development\/\" target=\"_blank\" rel=\"noopener\"><b>Machine Learning app development<\/b><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">To develop a model that reveals all the networks, ML utilizes the below-mentioned algorithms.<\/span><\/p>\n<h3><b>1. Reinforcement Learning<\/b><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">The engineers will train the algorithms of ML to make quick and specific decisions from the system. ML captures all the possible outcomes to make a quick decision. <\/span><\/p>\n<h3><b>2. Unsupervised Learning<\/b><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Here ML trains itself from data examples. The algorithm calculates the patterns of the data all by itself.<\/span><\/p>\n<h3><b>3. Supervised Learning<\/b><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Like unsupervised learning, ML trains itself from data examples and associates to target the responses. The data will be enclosed with string labels or numeric values.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">This includes tags and classes. In the next level, it can be posed with other examples. Thus, it can give the correct prediction responses.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Advantages_of_Machine_Learning-Based_Mobile_Apps\"><\/span><b>Advantages of Machine Learning-Based Mobile Apps<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><b># Enhance the options of searching and results<\/b><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">The option of searches keeps evolving with the blink of an eye. This includes search engines and results. What we cannot modify is the design of mobile apps to deal with the searches.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">This technology assists in automating and evolving the same. By employing ML and its subsets, the search options can display the best matching results. Even if you misspelled the keywords, Google would display the results.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">When you integrate ML with mobile apps, it will understand all the patterns. The human being can barely resolve this when required.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">In order to make efficient mobile apps, this innovation can assist in enhancing the results and searches. This process is not all time-consuming and hassle-free. Ml even employs behavioral and graphical data to improvise the personalized experience for the user.<\/span><\/p>\n<h3><b># Identification of frauds<\/b><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">ML in <\/span><b>mobile app development<\/b><span style=\"font-weight: 400;\"> has helped many businesses to identify potential threats and frauds. Security of data is a must-have feature in your mobile apps. Why? Well, your users would be sharing their personal and banking details. And you, as their partner, must secure such data.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Hre, employing ML would benefit you in a better way. This tool will train with the existing trends and patterns. And when anything \u201cout of the pattern\u201d arises, it will raise the alarm.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">You will be able to take all the preliminarily and preventive measures to control any such activities. It will keep the data of the user sound and secure.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">For example, an unknown transaction took place; ML will quickly alert you about this activity. You can report and get sorted with the transactions.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">The financial sector is yet another domain where this technology has showcased its potential. It will be tough to figure out the frauds in money apps, wallets, and credit cards.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Suppose you have your business in this domain and its surfaces in your institution. If not focused on this area, it may lead to poor growth of your business and client dissatisfaction. This may lead to poor productivity.<\/span><\/p>\n<h3><b># Improvises route of Logical Development<\/b><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">In <\/span>Machine Learning app development<span style=\"font-weight: 400;\">, there are high chances that the mobile app developers get baffled to enhance the comprehensive logic development. And this development consumes lots of energy and resources. Therefore, it will take time to amplify and deploy the app to the market.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">It will help to simplify the path of logical development. This, in turn, will help to understand all the coding aspects. ML will assist the developers in understanding different trends and patterns enclosed in the development of mobile apps. It will enhance the experience in coding and overall logic.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Suppose you need to add new categories in your mobile app.<\/span><i><span style=\"font-weight: 400;\"> This, otherwise, you cannot tackle without the assistance of the mobile app developer. <\/span><\/i><span style=\"font-weight: 400;\">But now, thanks to Machine Learning, you can handle that with ease.<\/span><\/p>\n<p style=\"text-align: justify;\"><b>Note:- <\/b><span style=\"font-weight: 400;\">Assure that the <\/span>mobile app development company<span style=\"font-weight: 400;\"> buffers you with commands and trains Machine Learning.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Essential_of_Machine_Learning_for_Mobile_Apps\"><\/span><b>Essential of Machine Learning for Mobile Apps<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Since by now, we already know the advantages of implementing ML in mobile apps. Let us further check some of the reasons why ML is essential for your mobile apps:-<\/span><\/p>\n<h3><b>a. Filter the Spams<\/b><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">While handling the <\/span>Machine Learning app development process<span style=\"font-weight: 400;\">, the developers can even train the users who would be using the apps. They can give training to the modules of Machine Learning to strain the spam out.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Your development team can program these intelligent machines to clear up unreliable websites and emails as these unreliable sources can overload the user\u2019s inboxes. Hence, there might be a high chance of skipping the fraudulent activities. You can overcome this by including ML with your mobile apps.\u00a0<\/span><\/p>\n<h3><b>b. Predictive Analysis<\/b><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">ML can handle huge data and acquire significant calculations. It can assist in predictive analysis. This will give a personalized app experience to the users.\u00a0<\/span><\/p>\n<h3><b>c. Boost The Engagement of The User<\/b><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">You must understand that ML does not have the power to convey the real objective of your mobile app. But it has the power to expand the capacitance to enhance the engagement of the user.\u00a0<\/span><\/p>\n<div style=\"background-color: #f6f6f6; padding: 15px; margin: 15px 0px; border-left: 4px solid #1e3957; font-size: 18px; text-align: justify;\">\n<div style=\"color: #303030; font-weight: 600; position: absolute;\">Also Read:<\/div>\n<div style=\"padding-left: 100px;\"><a style=\"color: #057dce; text-decoration: underline; font-style: italic; font-weight: 600;\" href=\"https:\/\/mobilecoderz.com\/blog\/what-will-be-the-mobile-app-ui-ux-trends-in-2021\/\" target=\"_blank\" rel=\"noopener\">What Will Be The Mobile App UI\/UX Trends In 2021?<\/a><\/div>\n<\/div>\n<h2 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"In_a_conclusion\"><\/span><b>In a conclusion<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\"><a href=\"https:\/\/mobilecoderz.com\/blog\/best-ever-machine-learning-apps-ideas-of-2021-for-business\/\" target=\"_blank\" rel=\"noopener\"><strong>Machine Learning-based mobile apps<\/strong><\/a> are evolving in the market at an exponential rate. This innovation is highly credited because of the reduction in time and effort, cost, and security.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">Hence it is highly recommended to <\/span><a href=\"https:\/\/clutch.co\/profile\/mobilecoderz-technologies#summary\" target=\"_blank\" rel=\"noopener\"><b>hire a mobile app development company<\/b><\/a><span style=\"font-weight: 400;\">. They will provide reliable and effective solutions for AI-based mobile apps.\u00a0<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-weight: 400;\">MobileCoderz Technologies is an efficient <\/span>mobile app development company<span style=\"font-weight: 400;\">. We work on comprehensive technologies such as AI, ML, IoT, iBeacon, etc. Our team is also proficient in developing customized apps for a personalized experience.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ML is the subdivision of Artificial Intelligence. This software tool can empower to envisage, explore, and learn the outcomes without any human interference. Nowadays, ML is employed in different sectors and fields. Machine Learning is aggressively used in mobile app development.\u00a0 AI and ML jointly have crafted some amazing, intelligent, and smart solutions. These tools [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":5724,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[18,487,478],"tags":[66,116,571,572,109],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Why Consider Machine Learning in Your Mobile App Development Process?<\/title>\n<meta name=\"description\" content=\"Why should you consider Machine Learning in your mobile app development process? Time, money, or security? 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