{"id":70675,"date":"2022-11-24T13:55:42","date_gmt":"2022-11-24T12:55:42","guid":{"rendered":"https:\/\/www.clickworker.com\/?p=70675"},"modified":"2022-12-09T12:42:19","modified_gmt":"2022-12-09T11:42:19","slug":"the-6-types-of-machine-learning-algorithms-you-should-know","status":"publish","type":"post","link":"https:\/\/www.clickworker.com\/customer-blog\/the-6-types-of-machine-learning-algorithms-you-should-know\/","title":{"rendered":"The Top 6 Types of Machine Learning Algorithms You Should Know"},"content":{"rendered":"<style>\r\n.faq-snippet.collapsable div h2, .faq-snippet {color: #1d1d1f;} .faq-snippet p { color: #212529;}\r\n<\/style>\r\n\r\n<p><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/uploads\/2022\/11\/Machine-Learning-Algorithms.png\"  alt=\"Machine learning algorithms\" class=\"w-100 h-auto rounded size-full wp-image-32478\" \/><\/p>\r\n<p>Machine learning algorithms can be applied to a number of tasks, including decision-making and <a href=\"https:\/\/www.clickworker.com\/ai-glossary\/data-mining\/\" title=\"data mining - term explanation\">data mining<\/a>. It&#8217;s critical to select the appropriate machine learning software and hardware for the work at hand because there are a variety of options available. To evaluate how well a machine learning algorithm is performing, a variety of model assessments can be used. The proper machine learning algorithm should be selected for the task at hand after being aware of the limits of each one.<\/p>\r\n<p><!--more--><\/p>\r\n\r\n\r\n\r\n<blockquote class=\"rounded\">\r\n                    <p class=\"pb-3\"><strong>Table of Contents<\/strong><\/p>\r\n<ul class=\"standardV8styled\">\r\n\t\t\t\t\t<li><a href=\"#intro\">Introduction<\/a><\/li>\r\n\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t<ul class=\"standardV8styled\">\r\n\t\t\t\t\t<li><a href=\"#principle\">Principle of Machine Learning<\/a><\/li>\r\n\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t<ul class=\"standardV8styled\">\r\n\t\t\t\t\t<li><a href=\"#challenges\">Challenges of Machine Learning<\/a><\/li>\r\n\t\t\t\t\t<\/ul>\t\t\t\t\t\r\n\t\t\t\t\t<ul class=\"standardV8styled\">\r\n\t\t\t\t\t<li><a href=\"#types\">Types of Machine Learning Algorithms<\/a><\/li>\r\n\t\t\t\t\t<\/ul>\r\n\t\t\t\t\t<ul class=\"standardV8styled\">\r\n\t\t\t\t\t<li><a href=\"#algo\">List of common Machine Learning Algorithms every Engineer must know<\/a><\/li><\/ul>\r\n\t\t\t\t\t<ul class=\"standardV8styled\">\r\n\t\t\t\t\t<li><a href=\"#realworld\">Real-world Machine Learning Use Cases<\/a><\/li><\/ul>\t\t \r\n\t\t\t\t\t<ul class=\"standardV8styled\">\r\n\t\t\t\t\t<li><a href=\"#end\">Conclusion<\/a><\/li>\r\n\t\t\t\t\t<\/ul>\t\t\t\r\n<\/blockquote>\r\n\r\n<h2 id=\"intro\">Introduction<\/h2>\r\n<p><a href=\"https:\/\/www.clickworker.com\/ai-glossary\/machine-learning\/\" title=\"machine learning - term explanation\">Machine learning<\/a> is a computer science technique that enables computers to learn from data. This can be used to improve the accuracy of predictions made by a computer system, or to improve the speed or efficiency of a process. Machine learning is important because it can help us to solve problems that are difficult or impossible to solve using traditional methods.<\/p>\r\n\r\n<h2 id=\"principle\">Principle of Machine Learning<\/h2>\r\n<p>Through the use of machine learning, it is now possible for machines to independently learn from data and make judgments. Machine learning algorithms operate under the premise that methods that have been successful in the past will be effective in the future. Without being specifically taught to do so, machine learning algorithms can be utilized to carry out tasks. Machine learning is the process through which computers learn from data in order to do specific jobs. It is frequently more efficient for machines to create their own algorithms to accomplish this than for human programmers to specify each necessary step. There are many different approaches to machine learning, each with its own strengths and weaknesses.<\/p>\r\n\r\n<h2 id=\"challenges\">Challenges of Machine Learning<\/h2>\r\n<p>Businesses today have the knowledge they need to act faster than ever before on data-driven decisions that are better informed.\u00a0However, m achine learning has its own distinct set of challenges.<\/p>\r\n<p><ol><li><strong>Lack of Quality Data<\/strong><br>The absence of high-quality data is the main issue facing machine learning. While improving algorithms frequently takes up the majority of developers&#8217; time in AI, it is crucial that the data is of high quality for the algorithms to work as intended. The better the training data, the better the machine learning algorithm will perform.<\/li><br>\r\n\r\n<blockquote class=rounded><p class=\"pb-3\"><strong>Tip:<\/strong><\/p>\r\n<p class=\"pb-3\">Collecting large amounts of high-quality data on a regular basis that meet all criteria for a given learning aim is one of the most difficult jobs while working on a machine learning project. Contact clickworker to increase efficiency of your Machine Learning Algorithm.<\/p><a href=\"https:\/\/www.clickworker.com\/ai-datasets-for-machine-learning\/\" class=\"btn btn-primary\" role=\"button\">More about Datasets for Machine Learning<\/a><\/blockquote>\r\n\r\n<li><strong>Data Bias<\/strong><br>Another significant difficulty in machine learning is data biasing. When particular dataset components are substantially weighted or given a higher priority than others, these problems occur. Biased data produces skewed findings, erroneous results, and other analytical mistakes.<\/li><br>\r\n\r\n\r\n<li><strong>Lack of Skilled People<\/strong><br>Machine learning and deep analytics are still relatively new fields of study. As a result, there aren&#8217;t enough competent employees to manage and create quantitative content for machine learning.<\/li><\/ol>\r\n\r\n<h2 id=\"types\">Types of Machine Learning Algorithms<\/h2>\r\n<p>An <a href=\"https:\/\/www.clickworker.com\/ai-glossary\/algorithm\/\" title=\"algorithm - term explanation\">algorithm<\/a> is a set of instructions. These instructions contain a beginning, middle, and end, which is crucial since they offer precise, step-by-step information on how to carry out a certain operation.<\/p>\r\n<p>Since machine learning algorithms can be applied to a variety of applications, it is crucial to understand the many types of machine learning algorithms. Algorithms for machine learning are used to examine data and produce forecasts. Efficiency and increased productivity are achieved through the application of machine learning.<\/p>\r\n<p><ol><li><strong>Supervised Machine Learning Algorithms<\/strong><br>Supervised machine learning algorithms are important because they help organizations solve real-world problems at scale. Supervised machine learning algorithms use labeled datasets to train the models. This process is a manual process where data is labeled and trained by a human. Supervised machine learning algorithms are used to predict outcomes in fields such as sales, retail commerce, and stock trading.<\/li><br>\r\n<li><strong>Unsupervised Machine Learning Algorithms<\/strong><br>There are many different unsupervised machine learning algorithms, each with their own strengths and weaknesses. Some of the most popular unsupervised machine learning algorithms include neural networks, k-means clustering, probabilistic clustering methods, and more. These algorithms are used to uncover hidden patterns or data groupings in unlabeled datasets. Additionally, unsupervised learning algorithms can reduce the number of features in a model through the process of dimensionality reduction.<\/li><\/ol>\r\n\r\n<div class=\"row\">\r\n<div class=\"col-12 col-lg-8 mx-auto\">\r\n<p><strong> Video on Supervised vs Unsupervised Machine Learning Algorithms<\/strong><\/p>\r\n<div class=\"lyte-wrapper\" title=\"Machine Learning - Supervised VS Unsupervised Learning\" style=\"width:420px;max-width:100%;margin:5px;\"><div class=\"lyMe\" id=\"WYL_cfj6yaYE86U\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2Fcfj6yaYE86U%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/cfj6yaYE86U\" \/><meta itemprop=\"duration\" content=\"PT5M4S\" \/><meta itemprop=\"uploadDate\" content=\"2017-03-14T00:17:05Z\" \/><\/div><meta itemprop=\"accessibilityFeature\" content=\"captions\" \/><div id=\"lyte_cfj6yaYE86U\" data-src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2Fcfj6yaYE86U%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">Machine Learning - Supervised VS Unsupervised Learning<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/cfj6yaYE86U\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2Fcfj6yaYE86U%2F0.jpg\" alt=\"Machine Learning - Supervised VS Unsupervised Learning\" width=\"420\" height=\"216\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"Enroll in the course for free at: https:\/\/bigdatauniversity.com\/courses\/machine-learning-with-python\/ Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This free Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning. This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language. You&#039;ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each. Look at real-life examples of Machine learning and how it affects society in ways you may not have guessed! Explore many algorithms and models: Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction. Popular models: Train\/Test Split, Root Mean Squared Error, and Random Forests. Get ready to do more learning than your machine! Connect with Big Data University: https:\/\/www.facebook.com\/bigdatauniversity https:\/\/twitter.com\/bigdatau https:\/\/www.linkedin.com\/groups\/4060416\/profile ABOUT THIS COURSE \u2022This course is free. \u2022It is self-paced. \u2022It can be taken at any time. \u2022It can be audited as many times as you wish. https:\/\/bigdatauniversity.com\/courses\/machine-learning-with-python\/\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:420px;margin:5px;\"><\/div>\r\n<\/div>\r\n<\/div>\r\n\r\n\r\n<h2 id=\"algo\">List of common Machine Learning Algorithms every Engineer must know<\/h2>\r\n<p><ol><li><strong>Linear regression<\/strong><br>Input (x) and output (y), commonly referred to as independent and dependent variables, are related in linear regression. By fitting the independent and dependent variables to a regression line, the relationship between them is established. The linear equation y = mx + c, where y is the dependent variable, m is the slope, x is the independent variable, and b is the intercept, mathematically depicts this line. Finding the best-fit line that illustrates the relationship between variables y and x is the goal of linear regression.<br>\r\n\r\n<div class=\"row\">\r\n<div class=\"col-12 col-lg-8 mx-auto\">\r\n<div class=\"lyte-wrapper\" title=\"Simple Linear Regression for Machine Learning\" style=\"width:420px;max-width:100%;margin:5px;\"><div class=\"lyMe\" id=\"WYL_HoqXask9cN8\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FHoqXask9cN8%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/HoqXask9cN8\" \/><meta itemprop=\"duration\" content=\"PT2M54S\" \/><meta itemprop=\"uploadDate\" content=\"2018-10-24T15:48:15Z\" \/><\/div><div id=\"lyte_HoqXask9cN8\" data-src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FHoqXask9cN8%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">Simple Linear Regression for Machine Learning<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/HoqXask9cN8\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FHoqXask9cN8%2F0.jpg\" alt=\"Simple Linear Regression for Machine Learning\" width=\"420\" height=\"216\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"Simple Linear Regression is the &#039;Hello World&#039; algorithm of Machine Learning and therefore serves as the perfect introduction for complex algorithms later on. Take a look at the following page for an excellent visualisation of least squares regression : http:\/\/setosa.io\/ev\/ordinary-least-squares-regression\/ In the next video we will expand the concept from Simple Linear Regression to handle multiple varialbes.\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:420px;margin:5px;\"><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/li>\r\n\r\n\r\n<li><strong>Logistic regression<\/strong><br>In logistic regression, the dependant variable is binary (dichotomous). Regression analysis of this kind examines the data and shows how one binary variable and one or more independent variables relate to one another\u00a0using logistic regression. <br>The FIFA World Cup 2022 could be predicted using logistic regression to determine if a particular team will win (1) or lose (0).<br>\r\n\r\n<div class=\"row\">\r\n<div class=\"col-12 col-lg-8 mx-auto\">\r\n<div class=\"lyte-wrapper\" title=\"StatQuest: Logistic Regression\" style=\"width:420px;max-width:100%;margin:5px;\"><div class=\"lyMe\" id=\"WYL_yIYKR4sgzI8\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FyIYKR4sgzI8%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/yIYKR4sgzI8\" \/><meta itemprop=\"duration\" content=\"PT8M48S\" \/><meta itemprop=\"uploadDate\" content=\"2018-03-05T15:17:39Z\" \/><\/div><meta itemprop=\"accessibilityFeature\" content=\"captions\" \/><div id=\"lyte_yIYKR4sgzI8\" data-src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FyIYKR4sgzI8%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">StatQuest: Logistic Regression<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/yIYKR4sgzI8\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FyIYKR4sgzI8%2F0.jpg\" alt=\"StatQuest: Logistic Regression\" width=\"420\" height=\"216\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"Logistic regression is a traditional statistics technique that is also very popular as a machine learning tool. In this StatQuest, I go over the main ideas so that you can understand what it is and how it is used. For a complete index of all the StatQuest videos, check out: https:\/\/statquest.org\/video-index\/ If you&#039;d like to support StatQuest, please consider... Buying The StatQuest Illustrated Guide to Machine Learning!!! PDF - https:\/\/statquest.gumroad.com\/l\/wvtmc Paperback - https:\/\/www.amazon.com\/dp\/B09ZCKR4H6 Kindle eBook - https:\/\/www.amazon.com\/dp\/B09ZG79HXC Patreon: https:\/\/www.patreon.com\/statquest ...or... YouTube Membership: https:\/\/www.youtube.com\/channel\/UCtYLUTtgS3k1Fg4y5tAhLbw\/join ...a cool StatQuest t-shirt or sweatshirt: https:\/\/shop.spreadshirt.com\/statquest-with-josh-starmer\/ ...buying one or two of my songs (or go large and get a whole album!) https:\/\/joshuastarmer.bandcamp.com\/ ...or just donating to StatQuest! https:\/\/www.paypal.me\/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https:\/\/twitter.com\/joshuastarmer 0:00 Awesome song and introduction 0:23 Review of linear regression 3:09 Logistic regression overview 6:22 Logistic regression vs Linear regression 8:06 Summary of concepts #statquest #logistic\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:420px;margin:5px;\"><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/li><br>\r\n\r\n<li><strong>Decision trees<\/strong><br>You can see the road map of possible outcomes for a sequence of decisions using a decision tree. It lets businesses to weigh different outcomes and then make an easy choice based on factors that benefit them, like advantages and probabilities.<img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/uploads\/2022\/11\/decision-tree.png\"  alt=\"Decision Trees\" class=\"w-100 h-auto rounded size-full wp-image-32478\" \/><\/li><br>\r\n\r\n<li><strong>KNN classification algorithm<\/strong><br>A supervised machine learning algorithm called KNN takes into account a certain number of surrounding points when categorizing and dividing the known n groups. The algorithm learns with each step and iteration, therefore no particular learning phase is required. Based on the majority vote of the neighbors, a classification is made.<br>\r\n<div class=\"row\">\r\n<div class=\"col-12 col-lg-8 mx-auto\">\r\n<div class=\"lyte-wrapper\" title=\"K Nearest Neighbors | Intuitive explained | Machine Learning Basics\" style=\"width:420px;max-width:100%;margin:5px;\"><div class=\"lyMe\" id=\"WYL_0p0o5cmgLdE\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2F0p0o5cmgLdE%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/0p0o5cmgLdE\" \/><meta itemprop=\"duration\" content=\"PT2M13S\" \/><meta itemprop=\"uploadDate\" content=\"2020-04-26T19:07:31Z\" \/><\/div><meta itemprop=\"accessibilityFeature\" content=\"captions\" \/><div id=\"lyte_0p0o5cmgLdE\" data-src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2F0p0o5cmgLdE%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">K Nearest Neighbors | Intuitive explained | Machine Learning Basics<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/0p0o5cmgLdE\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2F0p0o5cmgLdE%2F0.jpg\" alt=\"K Nearest Neighbors | Intuitive explained | Machine Learning Basics\" width=\"420\" height=\"216\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"#MachineLearning #DataScience #KNN Machine Learning Basics: Bitesize machine learning concept about K Nearest Neighbors algorithm! Instagram: https:\/\/www.instagram.com\/machinelearning\/\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:420px;margin:5px;\"><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/li><br>\r\n\r\n\r\n<li><strong>Artificial neural networks (ANNs)<\/strong><br>Artificial <a href=\"https:\/\/www.clickworker.com\/ai-glossary\/neural-networks\/\">neural networks<\/a> are machine learning algorithms that solve challenging issues by modeling the neural function and connections of the human brain. The computational model of an ANN contains three or more interconnected layers that process the incoming data.\r\nDevices for the smart home and home automation, including door locks, thermostats, smart speakers, lights, and appliances, use ANN algorithms. Additionally, they are utilized in computational vision, particularly in autonomous cars and detecting systems.<br>\r\n<div class=\"row\">\r\n<div class=\"col-12 col-lg-8 mx-auto\">\r\n<div class=\"lyte-wrapper\" title=\"Explained In A Minute: Neural Networks\" style=\"width:420px;max-width:100%;margin:5px;\"><div class=\"lyMe\" id=\"WYL_rEDzUT3ymw4\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FrEDzUT3ymw4%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/rEDzUT3ymw4\" \/><meta itemprop=\"duration\" content=\"PT1M4S\" \/><meta itemprop=\"uploadDate\" content=\"2017-09-02T21:35:33Z\" \/><\/div><meta itemprop=\"accessibilityFeature\" content=\"captions\" \/><div id=\"lyte_rEDzUT3ymw4\" data-src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FrEDzUT3ymw4%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">Explained In A Minute: Neural Networks<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/rEDzUT3ymw4\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FrEDzUT3ymw4%2F0.jpg\" alt=\"Explained In A Minute: Neural Networks\" width=\"420\" height=\"216\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"Artificial Neural Networks explained in a minute. As you might have already guessed, there are a lot of things that didn&#039;t fit into this one-minute explanation. You can read my accompanying blogpost for some more details on things I might have left out: https:\/\/arztsamuel.github.io\/en\/blogs\/2018\/EiaM-NeuralNetworks.html If you like these kind of videos and would like to see more technical topics explained in a minute, let me know by pressing the like button. Don&#039;t miss any future videos, by subscribing to my channel. Follow me on Twitter: https:\/\/twitter.com\/SamuelArzt Interested in this series? You can find more information about it on my website: https:\/\/arztsamuel.github.io\/en\/projects\/youtube\/explained\/explained.html This video was recorded with a potato. Background Music: Drops of H2O ( The Filtered Water Treatment ) by J.Lang (c) copyright 2012 Licensed under a Creative Commons Attribution (3.0) license. http:\/\/dig.ccmixter.org\/files\/djlang59\/37792 Ft: Airtone #NeuralNetworks #MachineLearning #Tutorial\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:420px;margin:5px;\"><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/li><br>\r\n\r\n\r\n<li><strong>Recurrent neural networks (RNNs)<\/strong><br>Recurrent neural networks are one type of ANN that specifically handles sequential data processing. RNN can store, learn, and maintain contexts of arbitrary length while analyzing time series data. In applications like text generation, image captioning, and video frame processing where time sequence is crucial, RNN is used. The RNN architecture is used by Google Translate, Siri, and Google Assistant.<br>\r\n<div class=\"row\">\r\n<div class=\"col-12 col-lg-8 mx-auto\">\r\n<div class=\"lyte-wrapper\" title=\"Illustrated Guide to Recurrent Neural Networks: Understanding the Intuition\" style=\"width:420px;max-width:100%;margin:5px;\"><div class=\"lyMe\" id=\"WYL_LHXXI4-IEns\" itemprop=\"video\" itemscope itemtype=\"https:\/\/schema.org\/VideoObject\"><div><meta itemprop=\"thumbnailUrl\" content=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FLHXXI4-IEns%2Fhqdefault.jpg\" \/><meta itemprop=\"embedURL\" content=\"https:\/\/www.youtube.com\/embed\/LHXXI4-IEns\" \/><meta itemprop=\"duration\" content=\"PT9M51S\" \/><meta itemprop=\"uploadDate\" content=\"2018-08-26T03:01:23Z\" \/><\/div><div id=\"lyte_LHXXI4-IEns\" data-src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FLHXXI4-IEns%2Fhqdefault.jpg\" class=\"pL\"><div class=\"tC\"><div class=\"tT\" itemprop=\"name\">Illustrated Guide to Recurrent Neural Networks: Understanding the Intuition<\/div><\/div><div class=\"play\"><\/div><div class=\"ctrl\"><div class=\"Lctrl\"><\/div><div class=\"Rctrl\"><\/div><\/div><\/div><noscript><a href=\"https:\/\/youtu.be\/LHXXI4-IEns\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/www.clickworker.com\/wp-content\/plugins\/wp-youtube-lyte\/lyteCache.php?origThumbUrl=https%3A%2F%2Fi.ytimg.com%2Fvi%2FLHXXI4-IEns%2F0.jpg\" alt=\"Illustrated Guide to Recurrent Neural Networks: Understanding the Intuition\" width=\"420\" height=\"216\" \/><br \/>Watch this video on YouTube<\/a><\/noscript><meta itemprop=\"description\" content=\"If you enjoy this, check out my other content at www.michaelphi.com Recurrent Neural Networks are an extremely powerful machine learning technique but they may be a little hard to grasp at first. For those just getting into machine learning and deep learning, this is a guide in plain English with helpful visuals to help you grok RNN&#039;s. Subscribe to receive video updates on practical Artificial Intelligence and it&#039;s applications. Comment below and let me know what&#039;d you like to see next! AudoDocs: Turn Reading Into Listening with The Magic of AI https:\/\/audodocs.com The written version of this video https:\/\/medium.com\/@learnedvector\/illustrated-guide-to-recurrent-neural-networks-79e5eb8049c9 Sources https:\/\/iamtrask.github.io\/2015\/11\/15\/anyone-can-code-lstm\/ http:\/\/colah.github.io\/posts\/2015-08-Understanding-LSTMs\/ Catch me on the web for more AI content http:\/\/www.learnedvector.com\"><\/div><\/div><div class=\"lL\" style=\"max-width:100%;width:420px;margin:5px;\"><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/li><\/ol>\r\n\r\n<h2 id=\"realworld\">Real-world Machine Learning Use Cases<\/h2>\r\nDue to it&#8217;s versatility, machine learning has a wide range of common applications in the modern world.\r\n<h3>Image Recognition<\/h3>\r\n<p>The technique of identifying and detecting an object or feature in a digital image or video is known as <a href=\"https:\/\/www.clickworker.com\/ai-glossary\/image-recognition\/\" title=\"image recognition - term explanation\">image recognition<\/a>. This can be accomplished using algorithms that identify certain patterns in the image or software that compares the image against a database of recognized objects.<\/p>\r\n<p>Facial recognition within a picture is another common use for machine learning. The algorithm can find similarities between persons in a database and pair them with faces. Law enforcement uses this frequently.<\/p>\r\n\r\n<h3>Speech recognition<\/h3>\r\n<p><a href=\"https:\/\/www.clickworker.com\/customer-blog\/how-does-speech-recognition-work\/\">Speech recognition<\/a> is the process of converting spoken language into text. AI and machine learning are used in advanced voice recognition software to comprehend and process human speech. Devices like Google Home or Amazon Alexa are some of the most popular examples of speech recognition software in use.<\/p>\r\n\r\n<h2 id=\"end\">Conclusion<\/h2>\r\n<p>The best machine learning algorithm for a particular task is the one that has the highest probability of success for that task. To use a machine learning algorithm for a task, we first need to know the probability of success for that task.<\/p>\r\n\r\n<section>\t\r\n<div class=\"container\">\r\n\t\t\t<h2 id=\"faq\">\r\n\t\t\t<strong>FAQs on Machine Learning Algorithms<\/strong><\/h2>\t\t\t\r\n\t\t\t<div id=\"faqDataQualitySnippet\">\r\n\t\t\t\t<div class=\"row\">\r\n\t\t\t\t\t\t<div class=\"col-lg-12\">\r\n\t\t\t\t\t\t\t\t\t<section class=\"sc_fs_faq sc_card card faq-snippet collapsable\">\n\t\t\t<div>\n\t\t\t\t<h2>What\u200c \u200cAre\u200c \u200cThe Most Common Used \u200cMachine\u200c \u200cLearning Algorithms?<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t\t\t\t\t<p>\n\t\t\t\t\t\tThere are a few different types of machine learning algorithms that are commonly used. These include: linear regression, logistic regression, decision trees, random forests, and support vector machines.\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"sc_fs_faq sc_card card faq-snippet collapsable\">\n\t\t\t<div>\n\t\t\t\t<h2>Why are Deep Learning Algorithms better than Traditional Machine Learning Algorithms?<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t\t\t\t\t<p>\n\t\t\t\t\t\tDeep Learning Algorithms are better than traditional machine learning algorithms because they can learn complex relationships between input and output data, they require less feature engineering. The performance of deep learning algorithms increases with an increase in the amount of data.\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"sc_fs_faq sc_card card faq-snippet collapsable\">\n\t\t\t<div>\n\t\t\t\t<h2>What is Linear Regression in Machine\u200c \u200cLearning Algorithms<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t\t\t\t\t<p>\n\t\t\t\t\t\tLinear Regression is a supervised machine learning algorithm where the predicted output is continuous and has a linear relationship with the input features. In other words, we can say that Linear regression is a method of finding the relationship between dependent and one or more independent variables by fitting the best line. The best fit line is basically the line that minimizes the sum of squared residuals.\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"sc_fs_faq sc_card card faq-snippet collapsable\">\n\t\t\t<div>\n\t\t\t\t<h2>What is Polynomial Regression in Machine\u200c \u200cLearning Algorithms<\/h2>\t\t\t\t<div>\n\t\t\t\t\t\t\t\t\t\t<p>\n\t\t\t\t\t\tPolynomial regression is a machine learning algorithm that can be used to model linear relationships between features and target variables. The algorithm can also be used to model non-linear relationships by transforming the data into a higher-dimensional space.\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\n<script type=\"application\/ld+json\">\n\t{\n\t\t\"@context\": \"https:\/\/schema.org\",\n\t\t\"@type\": \"FAQPage\",\n\t\t\"mainEntity\": [\n\t\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"What\u200c \u200cAre\u200c \u200cThe Most Common Used \u200cMachine\u200c \u200cLearning Algorithms?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"There are a few different types of machine learning algorithms that are commonly used. These include: linear regression, logistic regression, decision trees, random forests, and support vector machines.\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t,\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"Why are Deep Learning Algorithms better than Traditional Machine Learning Algorithms?\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"Deep Learning Algorithms are better than traditional machine learning algorithms because they can learn complex relationships between input and output data, they require less feature engineering. The performance of deep learning algorithms increases with an increase in the amount of data.\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t,\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"What is Linear Regression in Machine\u200c \u200cLearning Algorithms\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"Linear Regression is a supervised machine learning algorithm where the predicted output is continuous and has a linear relationship with the input features. In other words, we can say that Linear regression is a method of finding the relationship between dependent and one or more independent variables by fitting the best line. The best fit line is basically the line that minimizes the sum of squared residuals.\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t,\t\t\t\t{\n\t\t\t\t\"@type\": \"Question\",\n\t\t\t\t\"name\": \"What is Polynomial Regression in Machine\u200c \u200cLearning Algorithms\",\n\t\t\t\t\"acceptedAnswer\": {\n\t\t\t\t\t\"@type\": \"Answer\",\n\t\t\t\t\t\"text\": \"Polynomial regression is a machine learning algorithm that can be used to model linear relationships between features and target variables. The algorithm can also be used to model non-linear relationships by transforming the data into a higher-dimensional space.\"\n\t\t\t\t\t\t\t\t\t}\n\t\t\t}\n\t\t\t\t\t\t]\n\t}\n<\/script>\n\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n<\/section>\r\n<script>\r\njQuery( document ).ready(function() {\r\n\tjQuery(window).scroll(function(){\r\n\t\tif(jQuery(this).scrollTop() >= jQuery('#intro').offset().top - 200) {\r\n\t\t  jQuery('.toc-sidebar').fadeIn(100);\r\n\t\t} else if(jQuery(this).scrollTop() < jQuery('#intro').offset().top + 200) {\r\n\t\t\tjQuery('.toc-sidebar').fadeOut(100);\r\n\t\t}\r\n\t});\r\n});\r\n\r\n<\/script>\r\n","protected":false},"excerpt":{"rendered":"<p>Machine learning algorithms can be applied to a number of tasks, including decision-making and data mining. It&#8217;s critical to select the appropriate machine learning software and hardware for the work at hand because there are a variety of options available. To evaluate how well a machine learning algorithm is performing, a variety of model assessments [&hellip;]<\/p>\n","protected":false},"author":59,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[825,716,722],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Top 6 Types of Machine Learning Algorithms You Should Know<\/title>\n<meta name=\"description\" content=\"Machine learning algorithms operate under the premise that methods that have been successful in the past will be effective in the future. Without being specifically taught to do so, machine learning algorithms can be utilized to carry out tasks.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.clickworker.com\/customer-blog\/the-6-types-of-machine-learning-algorithms-you-should-know\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Top 6 Types of Machine Learning Algorithms You Should Know\" \/>\n<meta property=\"og:description\" content=\"Machine learning algorithms operate under the premise that methods that have been successful in the past will be effective in the future. Without being specifically taught to do so, machine learning algorithms can be utilized to carry out tasks.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.clickworker.com\/customer-blog\/the-6-types-of-machine-learning-algorithms-you-should-know\/\" \/>\n<meta property=\"og:site_name\" content=\"clickworker.com\" \/>\n<meta property=\"article:published_time\" content=\"2022-11-24T12:55:42+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-12-09T11:42:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.clickworker.com\/wp-content\/uploads\/2022\/11\/Machine-Learning-Algorithms.png\" \/>\n<meta name=\"author\" content=\"Robert Koch\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Robert Koch\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":[\"Article\",\"BlogPosting\"],\"@id\":\"https:\/\/www.clickworker.com\/customer-blog\/the-6-types-of-machine-learning-algorithms-you-should-know\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.clickworker.com\/customer-blog\/the-6-types-of-machine-learning-algorithms-you-should-know\/\"},\"author\":{\"name\":\"Robert Koch\",\"@id\":\"https:\/\/www.clickworker.com\/#\/schema\/person\/0c8e6dcd1e8c22d4388d93c4f90fd95e\"},\"headline\":\"The Top 6 Types of Machine Learning Algorithms You Should Know\",\"datePublished\":\"2022-11-24T12:55:42+00:00\",\"dateModified\":\"2022-12-09T11:42:19+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.clickworker.com\/customer-blog\/the-6-types-of-machine-learning-algorithms-you-should-know\/\"},\"wordCount\":1586,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.clickworker.com\/#organization\"},\"articleSection\":[\"Artificial Intelligence (AI)\",\"Customer Blog\",\"Tips and Tricks\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.clickworker.com\/customer-blog\/the-6-types-of-machine-learning-algorithms-you-should-know\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.clickworker.com\/customer-blog\/the-6-types-of-machine-learning-algorithms-you-should-know\/\",\"url\":\"https:\/\/www.clickworker.com\/customer-blog\/the-6-types-of-machine-learning-algorithms-you-should-know\/\",\"name\":\"The Top 6 Types of Machine Learning Algorithms You Should Know\",\"isPartOf\":{\"@id\":\"https:\/\/www.clickworker.com\/#website\"},\"datePublished\":\"2022-11-24T12:55:42+00:00\",\"dateModified\":\"2022-12-09T11:42:19+00:00\",\"description\":\"Machine learning algorithms operate under the premise that methods that have been successful in the past will be effective in the future. 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