{"id":2155,"date":"2023-01-11T06:33:18","date_gmt":"2023-01-11T06:33:18","guid":{"rendered":"https:\/\/pickl.ai\/blog\/?p=2155"},"modified":"2025-05-21T15:25:22","modified_gmt":"2025-05-21T09:55:22","slug":"machine-learning-algorithms-that-every-ml-engineer-should-know","status":"publish","type":"post","link":"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/","title":{"rendered":"5 Machine Learning Algorithms That Every ML Engineer Should Know"},"content":{"rendered":"<p><b>Summary: <\/b><span style=\"font-weight: 400;\">Machine Learning algorithms are changing the game across industries. From Netflix recommendations to fraud detection, they analyze data to make predictions and solve problems. They power image recognition in self-driving cars and medical diagnosis tools. Businesses use them for customer segmentation, and scientists leverage them for discoveries. Get ready for even more innovation!<\/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:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Introduction\" >Introduction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#What_is_a_Machine_Learning_Algorithm\" >What is a Machine Learning Algorithm?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Types_of_Machine_Learning_Algorithms\" >Types of Machine Learning Algorithms<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Supervised_Learning\" >Supervised Learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Unsupervised_Learning\" >Unsupervised Learning<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Reinforcement_Learning\" >Reinforcement Learning<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Use_Cases_of_Machine_Learning_Algorithm\" >Use Cases of Machine Learning Algorithm<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Recommendations\" >Recommendations<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Fraud_Detection\" >Fraud Detection<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Image_Recognition\" >Image Recognition<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Medical_Diagnosis\" >Medical Diagnosis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Customer_Segmentation\" >Customer Segmentation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Scientific_Discovery\" >Scientific Discovery<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#5_Machine_Learning_Algorithm_and_Its_Key_Features\" >5 Machine Learning Algorithm and Its Key Features\u00a0<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#1_Linear_Regression\" >1. Linear Regression<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#2_Logistic_Regression\" >2. Logistic Regression<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#3_K-Means_Clustering\" >3. K-Means Clustering<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#4_Decision_Trees\" >4. Decision Trees<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#5_Support_Vector_Machine_SVM\" >5. Support Vector Machine (SVM)<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#What_Are_The_Different_Types_of_Machine_Learning_Algorithms\" >What Are The Different Types of Machine Learning Algorithms?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#How_Do_I_Choose_The_Right_Algorithm_for_My_Project\" >How Do I Choose The Right Algorithm for My Project?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Are_Machine_Learning_Algorithms_Like_a_Black_Box\" >Are Machine Learning Algorithms Like a Black Box?<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/www.pickl.ai\/blog\/machine-learning-algorithms-that-every-ml-engineer-should-know\/#Closing_Thoughts\" >Closing Thoughts<\/a><\/li><\/ul><\/nav><\/div>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"Introduction\"><\/span><b>Introduction<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The technological revolution has penetrated every industry. Irrespective of the industrial size, the significance of Machine Learning and data is evident. There has also been a global rise in the Machine Learning market size. In 2021, the <\/span><a href=\"https:\/\/pickl.ai\/blog\/feature-engineering-in-machine-learning\/\"><span style=\"font-weight: 400;\">Machine Learning<\/span><\/a><span style=\"font-weight: 400;\"> market was at USD 15.47 billion, and will reach <\/span><a href=\"https:\/\/www.precedenceresearch.com\/machine-learning-as-a-service-market\"><span style=\"font-weight: 400;\">USD 305.62 billion by 2030<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The segment will witness a CAGR of 39.3% between 2022 and 2030. Consequently, this has led to a higher demand for Machine Learning experts. The success of a Machine Learning professional also depends on the apt use of the ML algorithm.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this blog, we will explore some of the popular machine learning algorithms that are widely used by professionals.<\/span><\/p>\n<h2 id=\"what-is-a-machine-learning-algorithm\"><span class=\"ez-toc-section\" id=\"What_is_a_Machine_Learning_Algorithm\"><\/span><b>What is a Machine Learning Algorithm?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">A Machine Learning algorithm is a set of instructions a computer follows to learn from data and improve its performance on a specific task. These algorithms improvise their functionality as and when new information enters the system.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Different types of <\/span><a href=\"https:\/\/pickl.ai\/blog\/what-is-machine-learning\/\"><span style=\"font-weight: 400;\">Machine Learning<\/span><\/a><span style=\"font-weight: 400;\"> algorithms are focused on deriving useful insights. These are used for image recognition, voice recognition, Natural Language Processing, forecasting and others.\u00a0<\/span><\/p>\n<h2 id=\"types-of-machine-learning-algorithms\"><span class=\"ez-toc-section\" id=\"Types_of_Machine_Learning_Algorithms\"><\/span><b>Types of Machine Learning Algorithms<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><b><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-9424\" src=\"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2.jpg\" alt=\"\" width=\"1000\" height=\"333\" srcset=\"https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2.jpg 1000w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2-300x100.jpg 300w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2-768x256.jpg 768w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2-110x37.jpg 110w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2-200x67.jpg 200w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2-380x127.jpg 380w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2-255x85.jpg 255w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2-550x183.jpg 550w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2-800x266.jpg 800w, https:\/\/www.pickl.ai\/blog\/wp-content\/uploads\/2023\/01\/image2-150x50.jpg 150w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Machine learning algorithms can be broadly categorized into three main types: supervised, unsupervised, and reinforcement learning. Each type is suited for different tasks and problems.<\/span><\/p>\n<h3 id=\"supervised-learning\"><span class=\"ez-toc-section\" id=\"Supervised_Learning\"><\/span><b>Supervised Learning<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This algorithm is trained on labelled data, meaning the data has already been categorized or classified. <\/span><a href=\"https:\/\/pickl.ai\/blog\/supervised-learning-vs-unsupervised-learning\/\"><span style=\"font-weight: 400;\">Supervised learning <\/span><\/a><span style=\"font-weight: 400;\">algorithm learns to identify patterns and relationships between the input data (features) and the desired output (labels). Once trained, the algorithm can\u00a0 used to make predictions on new, unseen data. Common supervised learning tasks include:<\/span><\/p>\n<p><b>Classification:<\/b><span style=\"font-weight: 400;\"> Classifying data points into predefined categories, such as spam detection or image recognition.<\/span><\/p>\n<p><b>Regression: <\/b><span style=\"font-weight: 400;\">Predicting continuous values, such as weather forecasting or stock prices.\u00a0<\/span><\/p>\n<h3 id=\"unsupervised-learning\"><span class=\"ez-toc-section\" id=\"Unsupervised_Learning\"><\/span><b>Unsupervised Learning<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">In unsupervised learning, the algorithm given unlabeled data, which means the data has no predefined categories or classifications. The algorithm&#8217;s task is to find hidden patterns or structures within the data. Common unsupervised learning tasks include:<\/span><\/p>\n<p><b>Clustering:<\/b><span style=\"font-weight: 400;\"> Grouping data points into clusters based on similarities, such as customer segmentation or anomaly detection.<\/span><\/p>\n<p><b>Dimensionality reduction: <\/b><span style=\"font-weight: 400;\">Reducing the number of features in a dataset while preserving the most important information.\u00a0<\/span><\/p>\n<h3 id=\"reinforcement-learning\"><span class=\"ez-toc-section\" id=\"Reinforcement_Learning\"><\/span><b>Reinforcement Learning<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">In reinforcement learning, the algorithm interacts with an environment and learns through trial and error. The algorithm receives rewards for making good decisions and penalties for making bad decisions. Over time, the algorithm learns to make choices that maximize its reward. Reinforcement learning used in applications such as:<\/span><\/p>\n<p><b>Robotics:<\/b><span style=\"font-weight: 400;\"> Training robots to perform tasks in complex environments.<\/span><\/p>\n<p><b>Game playing:<\/b><span style=\"font-weight: 400;\"> Training AI agents to play games at a superhuman level.<\/span><\/p>\n<h2 id=\"use-cases-of-machine-learning-algorithm\"><span class=\"ez-toc-section\" id=\"Use_Cases_of_Machine_Learning_Algorithm\"><\/span><b>Use Cases of Machine Learning Algorithm<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The impact of Machine Learning across the different industrial spectrum is evident. Some of the popular applications of this technology include the following:<\/span><\/p>\n<h3 id=\"recommendations\"><span class=\"ez-toc-section\" id=\"Recommendations\"><\/span><b>Recommendations<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Machine Learning is a key technology behind recommendation systems used by companies like Netflix and Amazon. These algorithms analyze your past behaviour, such as what movies you&#8217;ve watched or products you&#8217;ve purchased, to suggest new items you might be interested in.<\/span><\/p>\n<h3 id=\"fraud-detection\"><span class=\"ez-toc-section\" id=\"Fraud_Detection\"><\/span><b>Fraud Detection<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Banks and financial institutions use Machine Learning to identify fraudulent transactions. These algorithms can analyze patterns in spending habits to flag suspicious activity, such as a large purchase made from an unfamiliar location.<\/span><\/p>\n<h3 id=\"image-recognition\"><span class=\"ez-toc-section\" id=\"Image_Recognition\"><\/span><b>Image Recognition<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Machine Learning used in image recognition software to identify objects and people in images. This technology\u00a0 use in a variety of applications, such as facial recognition for security purposes and self-driving cars.<\/span><\/p>\n<h3 id=\"medical-diagnosis\"><span class=\"ez-toc-section\" id=\"Medical_Diagnosis\"><\/span><b>Medical Diagnosis<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Machine Learning algorithms can traine to analyze medical data, such as X-rays and blood tests, to help doctors diagnose diseases. This can improve the accuracy and speed of diagnosis.<\/span><\/p>\n<h3 id=\"customer-segmentation\"><span class=\"ez-toc-section\" id=\"Customer_Segmentation\"><\/span><b>Customer Segmentation<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Businesses can use Machine Learning to segment their customers into different groups based on their demographics, interests, and purchasing behaviour. This allows them to tailor their marketing campaigns to specific customer groups.<\/span><\/p>\n<h3 id=\"scientific-discovery\"><span class=\"ez-toc-section\" id=\"Scientific_Discovery\"><\/span><b>Scientific Discovery<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Machine Learning\u00a0 used in scientific research to analyze large datasets and identify patterns that would be difficult for humans to find. This is helping to accelerate scientific discovery in fields such as astronomy and genetics.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These are just a few examples of the many ways Machine Learning algorithms are being used today. As Machine Learning technology continues to develop, we can expect to see even more innovative applications emerge in the future.\u00a0<\/span><\/p>\n<h2 id=\"5-machine-learning-algorithm-and-its-key-features\"><span class=\"ez-toc-section\" id=\"5_Machine_Learning_Algorithm_and_Its_Key_Features\"><\/span><b>5 Machine Learning Algorithm and Its Key Features\u00a0<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"1-linear-regression\"><span class=\"ez-toc-section\" id=\"1_Linear_Regression\"><\/span><b>1. Linear Regression<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">It is a form of supervised learning used to predict the value of one variable based on the value of another variable. These two variables are called dependent and independent.<\/span><\/p>\n<p><b>Significant Features<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Its output is a continuous value<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It highlights a linear relationship between input features and output<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It also reduced the errors between the actual and predicted value<\/span><\/p>\n<p><b>Application<\/b><\/p>\n<p><b>Predicting Stock Prices:<\/b><span style=\"font-weight: 400;\"> One of the prominent applications of linear regression is to predict the relationship between historical stock prices and other relevant factors, like the company\u2019s performance and the economy\u2019s overall state.\u00a0\u00a0<\/span><\/p>\n<p><b>Sales Forecasting:<\/b><span style=\"font-weight: 400;\"> This algorithm helps predict the future based on past data and other intervening factors like marketing campaigns.\u00a0<\/span><\/p>\n<p><b>House Price Prediction:<\/b><span style=\"font-weight: 400;\"> The prediction of the house\u2019s sale price is also one of the applications of linear regression. This algorithm considers factors like the size of the house, location and other parameters that can impact the valuation of the house.<\/span><\/p>\n<h3 id=\"2-logistic-regression\"><span class=\"ez-toc-section\" id=\"2_Logistic_Regression\"><\/span><b>2. Logistic Regression<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">It is also a supervised learning type that applies a logistic curve to the data. It is used to estimate the probability of the occurrence of an event. There are three types of <\/span><a href=\"https:\/\/pickl.ai\/blog\/what-is-logistic-regression\/\"><span style=\"font-weight: 400;\">logistic regression<\/span><\/a><span style=\"font-weight: 400;\">, binary, ordinal and multinomial.<\/span><\/p>\n<p><b>Significant Features<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The output value in logistic regression is either 0 or 1.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It predicts the probability of a given example<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It also minimizes the log loss between the predicted probability and the actual class<\/span><\/p>\n<p><b>Application<\/b><\/p>\n<p><b>Fraud Detection: <\/b><span style=\"font-weight: 400;\">Organizations are looking for tools that can reduce fraud. With logistic regression, you can identify suspicious activity in financial transactions. It unfolds the relationship between the transaction details and the likelihood that it is fraudulent.<\/span><\/p>\n<p><b>Customer Churn Prediction:<\/b><span style=\"font-weight: 400;\"> Companies wanting to know the likelihood that a customer will stop using a company\u2019s products or services can find this application helpful. It works on past behaviour and other relevant factors.<\/span><\/p>\n<p><b>Disease Diagnosis:<\/b><span style=\"font-weight: 400;\"> The healthcare segment relies on Machine Learning to predict the likelihood of a patient encountering a particular disease. This method incorporates the study of symptoms and test results.<\/span><\/p>\n<h3 id=\"3-k-means-clustering\"><span class=\"ez-toc-section\" id=\"3_K-Means_Clustering\"><\/span><b>3. K-Means Clustering<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">It is an unsupervised learning algorithm for dividing unlabelled data into <\/span><a href=\"https:\/\/pickl.ai\/blog\/types-of-clustering-algorithms\/\"><span style=\"font-weight: 400;\">clusters.<\/span><\/a><span style=\"font-weight: 400;\"> Here, K means several pre-defined clusters created as a part of the process. For example, if K=2, there will be two clusters; if K = 3, there will be three.\u00a0\u00a0<\/span><\/p>\n<p><b>Significant Features<\/b><\/p>\n<p><span style=\"font-weight: 400;\">One doesn\u2019t need prior knowledge of the class labels<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Advance declaration of Clusters or K must\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is sensitive to the initial placement of the centroids<\/span><\/p>\n<p><b>Application<\/b><\/p>\n<p><b>Document Classification:<\/b><span style=\"font-weight: 400;\"> One can easily cluster documents into categories like tags, topics, and content. The documents represented as a vector, using term frequency to identify the commonly used terms.<\/span><\/p>\n<p><b>Identifying Crime Localities:<\/b><span style=\"font-weight: 400;\"> The algorithm can identify crimes in a location based on the information related to crimes in the city.<\/span><\/p>\n<p><b>Image compression:<\/b><span style=\"font-weight: 400;\"> K-means <\/span><a href=\"https:\/\/pickl.ai\/blog\/what-is-clustering-anyway\/\"><span style=\"font-weight: 400;\">clustering<\/span><\/a><span style=\"font-weight: 400;\"> can reduce the number of colours in an image, resulting in a smaller file size and faster loading times.<\/span><\/p>\n<h3 id=\"4-decision-trees\"><span class=\"ez-toc-section\" id=\"4_Decision_Trees\"><\/span><b>4. Decision Trees<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">This is a popular supervised learning algorithm that works for classification and<\/span><a href=\"https:\/\/pickl.ai\/blog\/a-tale-of-regression-and-regressiveness\/\"> <span style=\"font-weight: 400;\">regression<\/span><\/a><span style=\"font-weight: 400;\"> tasks, as evident from the name, it operates by constructing a tree-like decision model based on the data\u2019s features.<\/span><\/p>\n<p><b>Significant Features<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Easy to understand<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Work well with categorical and numerical data<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Classification and regression task<\/span><\/p>\n<p><b>Application<\/b><\/p>\n<p><b>Fraud Detection:<\/b><span style=\"font-weight: 400;\"> It finds applications for detecting fraudulent activity. This algorithm works by studying the past data available.<\/span><\/p>\n<p><b>Customer Segmentation:<\/b><span style=\"font-weight: 400;\"> One of the prime focuses of organisations is to aggregate the customers based on age, income and preferences. Decision trees are helpful in this.<\/span><\/p>\n<p><b>Marketing:<\/b><span style=\"font-weight: 400;\"> One can easily predict which customers are most likely to respond to a marketing campaign and identify the factors most important in determining their response.<\/span><\/p>\n<h3 id=\"5-support-vector-machine-svm\"><span class=\"ez-toc-section\" id=\"5_Support_Vector_Machine_SVM\"><\/span><b>5. Support Vector Machine (SVM)<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">SVMs are powerful supervised learners that find the best dividing line (hyperplane) to classify data points into categories. They excel in high dimensions and with limited data, making them a versatile tool for various classification tasks.<\/span><\/p>\n<p><b>Significant Features<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Finds a hyperplane that best separates data points belonging to different classes.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Effective in high-dimensional spaces and with small datasets.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Can also be used for regression tasks.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Less interpretable compared to simpler models like linear regression.<\/span><\/p>\n<p><b>Application<\/b><\/p>\n<p><b>Image Recognition:<\/b><span style=\"font-weight: 400;\"> SVMs can be trained to distinguish between objects in images. For example, an SVM could be used to identify faces in photos or classify different types of products in an image.<\/span><\/p>\n<p><b>Spam Detection:<\/b><span style=\"font-weight: 400;\"> Email providers can use SVMs to analyze emails and classify them as spam or not spam. The SVM can learn from past emails what characteristics typically indicate spam and use that knowledge to filter new emails.<\/span><\/p>\n<p><b>Text Classification:<\/b><span style=\"font-weight: 400;\"> SVMs can be used to categorize text documents. For instance, news articles could be classified by topic (sports, politics, business) or reviews could be classified as positive, negative, or neutral.<\/span><\/p>\n<h2 id=\"frequently-asked-questions\"><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span><b>Frequently Asked Questions<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3 id=\"what-are-the-different-types-of-machine-learning-algorithms\"><span class=\"ez-toc-section\" id=\"What_Are_The_Different_Types_of_Machine_Learning_Algorithms\"><\/span><b>What Are The Different Types of Machine Learning Algorithms?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">There are three main categories: supervised learning (trains on labelled data for tasks like classification or prediction), unsupervised learning (finds patterns in unlabeled data for tasks like grouping or dimensionality reduction), and reinforcement learning (learns through trial and error in an interactive environment).<\/span><\/p>\n<h3 id=\"how-do-i-choose-the-right-algorithm-for-my-project\"><span class=\"ez-toc-section\" id=\"How_Do_I_Choose_The_Right_Algorithm_for_My_Project\"><\/span><b>How Do I Choose The Right Algorithm for My Project?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The best algorithm depends on your data and task. Supervised learning is good for classification and prediction, while unsupervised learning is for exploring unlabeled data. Consider factors like data size, interpretability, and desired outcomes when choosing an algorithm.<\/span><\/p>\n<h3 id=\"are-machine-learning-algorithms-like-a-black-box\"><span class=\"ez-toc-section\" id=\"Are_Machine_Learning_Algorithms_Like_a_Black_Box\"><\/span><b>Are Machine Learning Algorithms Like a Black Box?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Some algorithms can be complex, but interpretability is an active area of research. Many algorithms offer ways to understand their decision-making process. You can also choose algorithms known for their relative transparency.\u00a0<\/span><\/p>\n<h2 id=\"closing-thoughts\"><span class=\"ez-toc-section\" id=\"Closing_Thoughts\"><\/span><b>Closing Thoughts<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">These are some of the common Machine Learning algorithms used by <\/span><span style=\"font-weight: 400;\">professionals<\/span><span style=\"font-weight: 400;\">. This algorithm plays a significant role in simplifying the tasks of Machine Learning experts and coming to a defined conclusion.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you are looking forward to making a career as a machine learning expert, joining the free <\/span><a href=\"https:\/\/www.pickl.ai\/course\/free-machine-learning-certification-program\"><span style=\"font-weight: 400;\">ML101 course<\/span><\/a><span style=\"font-weight: 400;\"> by <\/span><a href=\"http:\/\/pickl.ai\"><span style=\"font-weight: 400;\">Pickl.AI <\/span><\/a><span style=\"font-weight: 400;\">will help you build a strong <\/span><a href=\"https:\/\/pickl.ai\/blog\/top-five-key-statistical-concepts-essential-for-data-science-understanding\/\"><span style=\"font-weight: 400;\">conceptual foundation<\/span><\/a><span style=\"font-weight: 400;\">. For more information, log on to Pickl.AI today.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"Machine Learning algorithms fuel innovation in recommendations, fraud detection, and beyond. \n","protected":false},"author":29,"featured_media":9422,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[2],"tags":[541,543,539,542,540],"ppma_author":[2219,2179],"class_list":["post-2155","post","type-post","status-publish","format-standard","has-post-thumbnail","category-machine-learning","tag-cases-of-machine-learning-algorithm","tag-features-of-machine-learning-algorithm","tag-machine-learning-algorithm","tag-types-of-machine-learning-algorithms","tag-what-is-machine-learning-algorithms"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>5 Machine Learning Algorithms<\/title>\n<meta name=\"description\" content=\"Unlock the power of Machine Learning! 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As an Passionate researcher, learner, and writer, Aashi Verma interests extend beyond technology to include a deep appreciation for the outdoors, music, literature, and a commitment to environmental and social sustainability."},{"term_id":2179,"user_id":11,"is_guest":0,"slug":"raghutiwari","display_name":"Raghu Madhav Tiwari","avatar_url":"https:\/\/pickl.ai\/blog\/wp-content\/uploads\/2023\/02\/avatar_user_11_1676961212-96x96.png","first_name":"Raghu Madhav","user_url":"https:\/\/raghumadhavtiwari.medium.com\/","last_name":"Tiwari","description":"Introducing Raghu Madhav Tiwari, a highly skilled data scientist with a strong mathematical foundation, and a passion for solving complex business challenges. With a proven track record of developing data-driven solutions to drive business growth and enhance operational efficiency, Raghu is a true asset to any organization.\r\n\r\nAs a master of the art of data analysis, Raghu possesses a unique ability to convert raw data into valuable insights that lead to tangible results. Armed with exceptional critical thinking skills, Raghu employs a meticulous approach to problem-solving that involves leveraging cutting-edge statistical and mathematical techniques to drive informed decision-making.\r\n\r\nIn addition to his impressive analytical acumen, Raghu is also a gifted communicator and writer, regularly sharing his insights through engaging articles on various topics related to his field of expertise.\r\n\r\n\r\nMedium: https:\/\/raghumadhavtiwari.medium.com\/\r\nGithub: https:\/\/github.com\/RaghuMadhavTiwari"}],"_links":{"self":[{"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/posts\/2155","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/users\/29"}],"replies":[{"embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/comments?post=2155"}],"version-history":[{"count":5,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/posts\/2155\/revisions"}],"predecessor-version":[{"id":22936,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/posts\/2155\/revisions\/22936"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/media\/9422"}],"wp:attachment":[{"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/media?parent=2155"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/categories?post=2155"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/tags?post=2155"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.pickl.ai\/blog\/wp-json\/wp\/v2\/ppma_author?post=2155"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}