{"id":998,"date":"2022-04-08T10:58:46","date_gmt":"2022-04-08T10:58:46","guid":{"rendered":"https:\/\/uplatz.com\/blog\/?p=998"},"modified":"2023-03-26T08:49:33","modified_gmt":"2023-03-26T08:49:33","slug":"what-is-machine-learning-types-pros-and-cons-real-life-examples","status":"publish","type":"post","link":"https:\/\/uplatz.com\/blog\/what-is-machine-learning-types-pros-and-cons-real-life-examples\/","title":{"rendered":"What is Machine Learning : Types, Pros and Cons, Real-Life Examples"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-999\" src=\"https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2022\/04\/ML-image.jpg\" alt=\"\" width=\"1920\" height=\"673\" srcset=\"https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2022\/04\/ML-image.jpg 1920w, https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2022\/04\/ML-image-300x105.jpg 300w, https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2022\/04\/ML-image-768x269.jpg 768w, https:\/\/uplatz.com\/blog\/wp-content\/uploads\/2022\/04\/ML-image-1024x359.jpg 1024w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2><span style=\"color: #04205e;\"><b>What is ML (Machine Learning)?<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400; color: #000000;\">Machine Learning is a subset of AI (Artificial Intelligence) which provides machines to learn and improve automatically through experience and use of data without being explicitly programmed. Machine Learning is used to make machines smarter so they can learn by themselves and predict more accurate output itself. It is a study of computer algorithms. With the help of these algorithms, we can train our machine to learn by itself through algorithms like SVM, Random forest, etc.<\/span><\/p>\n<h2><span style=\"color: #04205e;\"><b>Types of Machine Learning\u00a0<\/b><\/span><\/h2>\n<p><span style=\"color: #000000;\"><span style=\"font-weight: 400;\">There are three types of Machine Learning: <\/span><b>Supervised Learning<\/b><span style=\"font-weight: 400;\">, <\/span><b>Unsupervised Learning<\/b><span style=\"font-weight: 400;\">, <\/span><b>and Reinforcement Learning.<\/b><\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"color: #000000;\"><b><span style=\"color: #993300;\">Supervised Learning<\/span>: <\/b><span style=\"font-weight: 400;\">In this learning we give our model labeled datasets to train algorithms to predict output accurately means in this learning first we train our model or machine for lots of input and outputs so that next time we want results so on the basis of the training our machine is able to generate results. The algorithms used in supervised learning include Support Vector Machines (SVM), Random Forests, etc.<\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #000000;\"><span style=\"color: #993300;\"><b>Some Real-life Example of Supervised Learning is<\/b><\/span><span style=\"font-weight: 400;\">: Exit poll result, Weather forecasting, Face recognition, etc<\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"color: #000000;\"><b><span style=\"color: #993300;\">Unsupervised Learning<\/span>: <\/b><span style=\"font-weight: 400;\">In this learning, we give our model Unlabelled datasets and the algorithm is to learn patterns from Unlabelled data and make clusters. Clustering is the primary task of Unsupervised Machine Learning. The algorithms used in Unsupervised learning are K-Means clustering, KNN (K-nearest neighbors), Hierarchical clustering, Anomaly Clustering, and Apriori Algorithm.<\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #000000;\"><span style=\"color: #993300;\"><b>Real-life Example of Unsupervised Learning: <\/b><\/span><span style=\"font-weight: 400;\">The best example of Unsupervised learning comes in our phone gallery. When we click our picture with pets or other people, after some days we can see in our device there is a different folder, made by our device in which pets&#8217; photo is in a different folder and our photos are in a different folder so this is done by the help of Unsupervised learning\u00a0<\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #000000;\"><span style=\"color: #993300;\"><b>Reinforcement Learning: <\/b><\/span><span style=\"font-weight: 400;\">In this Learning, we have an agent and environment so the agent performs some action on the environment and it gets a reward either it is Positive or Negative it totally depends on the action of the agent so on the basis of the reward it learns.<\/span><\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #000000;\"><span style=\"color: #993300;\"><b>Real-life Example of Reinforcement Learning: <\/b><\/span><span style=\"font-weight: 400;\">The best example of Reinforcement learning is, when we play any game first time then we learn by our actions in that game for example when we play Gta first time then we don\u2019t know who is the cop, how we can save ourself from cops but we learn by our action so in the same way the Reinforcement Learning is work.<\/span><\/span><\/li>\n<\/ul>\n<h2><span style=\"color: #000000;\"><b><span style=\"color: #04205e;\">Advantages of Machine Learning<\/span>\u00a0<\/b><\/span><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Automate Everything so human efforts are less.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Efficiently handle data with the help of ML.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Use in a wide range of applications.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"color: #000000;\">There is no need for human intervention.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Identifying trends and patterns for improvement is easy with it.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Continuous improvement happens which makes work easier.<\/span><\/li>\n<\/ul>\n<h2><span style=\"color: #000000;\"><b><span style=\"color: #04205e;\">Disadvantages of Machine Learning<\/span>\u00a0<\/b><\/span><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Chances of Error are High.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Time and Space consuming.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Data Acquisition.<\/span><\/li>\n<\/ul>\n<h2><span style=\"color: #000000;\"><b><span style=\"color: #04205e;\">Machine Learning Real-World Uses<\/span>\u00a0<\/b><\/span><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Medical Diagnosis.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Health Care.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Smart Assistant.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Social Networking.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Email Intelligence.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Banking and Personal Finance.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Google Maps.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Riding Apps.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Speech Recognition.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Computer Vision.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Customer Service.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Recommendation Engines.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400; color: #000000;\">Automated Stock Trading.<\/span><\/li>\n<\/ul>\n<h2><span style=\"color: #000000;\"><b><span style=\"color: #04205e;\">How ML is Make Human Work Easy<\/span>\u00a0<\/b><\/span><\/h2>\n<p><span style=\"font-weight: 400; color: #000000;\">Machine Learning makes human work easy by automating the machines, so some years ago when we needed lots of workers to handle a machine or manage a machine, now we don\u2019t need that many people because ML is automated and works with the help of Computer Algorithms. For Example, some years ago we did not assume that we can see self-driving cars but now it is possible due to ML algorithms as we trained our car by lots of data, so now the cars are capable to drive by themselves so now we don\u2019t need drivers for the car. In the Medical sector, the Health care sector in many sectors things are going to automate with the help of ML so in that way, ML is reduce human work and makes life easier.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; What is ML (Machine Learning)? Machine Learning is a subset of AI (Artificial Intelligence) which provides machines to learn and improve automatically through experience and use of data without <span class=\"readmore\"><a href=\"https:\/\/uplatz.com\/blog\/what-is-machine-learning-types-pros-and-cons-real-life-examples\/\">Read More &#8230;<\/a><\/span><\/p>\n","protected":false},"author":2,"featured_media":999,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[131],"tags":[],"class_list":["post-998","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What is Machine Learning : Types, Pros and Cons, Real-Life Examples | Uplatz 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:\/\/uplatz.com\/blog\/what-is-machine-learning-types-pros-and-cons-real-life-examples\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Machine Learning : Types, Pros and Cons, Real-Life Examples | Uplatz Blog\" \/>\n<meta property=\"og:description\" content=\"&nbsp; What is ML (Machine Learning)? 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