{"id":84709,"date":"2021-04-21T11:54:49","date_gmt":"2021-04-21T15:54:49","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=84709"},"modified":"2024-05-20T15:59:46","modified_gmt":"2024-05-20T19:59:46","slug":"machine-learning-classification-algorithms-part-i","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/machine-learning-classification-algorithms-part-i\/","title":{"rendered":"Machine Learning Classification Algorithms &#8211; Part I"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Let me start by asking a very basic question.&nbsp;<em>What is Machine Learning<\/em>?&nbsp;<a href=\"https:\/\/blog.quantinsti.com\/trading-using-machine-learning-python\/\">Machine learning<\/a>&nbsp;is the process of teaching a computer system certain algorithms that can improve themselves with experience.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A very technical definition would be,<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p><em>&#8220;A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience.&#8221; &#8211; &nbsp;Tom Mitchell, 1997<\/em><\/p><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Just like humans, the system will be able to perform simple classification tasks and complex mathematical computations like regression. It involves the building of mathematical models that are used in classification or regression.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To \u2018train\u2019 these mathematical models, you need a set of training data. This is the dataset over which the system builds the model. This article will cover all your&nbsp;<a href=\"https:\/\/quantra.quantinsti.com\/course\/trading-machine-learning-classification-svm\" target=\"_blank\" rel=\"noreferrer noopener\">Machine Learning Classification<\/a>&nbsp;needs, starting with the very basics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here, we will talk about:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Supervised Learning<\/li><li>Unsupervised Learning<\/li><li>Types of Supervised models<\/li><li>Types of classification<\/li><li>Classifier Models<\/li><li>Hyperparameter Tuning<\/li><li>Performance Evaluation<\/li><li>Using SVC for Trading<\/li><li>Resources to learn Machine Learning<\/li><li>Summary<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The mathematical models are divided into two categories, depending on their training data &#8211;&nbsp;<strong>supervised and unsupervised learning models<\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1100\" height=\"576\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2021\/04\/quantInsti-machine-learning-1100x576.png\" alt=\"\" class=\"wp-image-84724 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2021\/04\/quantInsti-machine-learning-1100x576.png 1100w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2021\/04\/quantInsti-machine-learning-700x366.png 700w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2021\/04\/quantInsti-machine-learning-300x157.png 300w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2021\/04\/quantInsti-machine-learning-768x402.png 768w, https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2021\/04\/quantInsti-machine-learning.png 1200w\" data-sizes=\"(max-width: 1100px) 100vw, 1100px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1100px; aspect-ratio: 1100\/576;\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"supervised-learning\">Supervised Learning<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">When building supervised learning models, the training data used contains the required answers. These required answers are called labels. For example, you show a picture of a dog and also label it as a dog.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">So, with enough pictures of a dog, the algorithm will be able to\u00a0<strong>classify<\/strong>\u00a0an image of a dog correctly. Supervised learning models can also be used to anticipate continuous numeric values such as the price of the stock of a certain company. These models are known as\u00a0<strong>regression<\/strong>\u00a0models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In this case, the labels would be the price of the stock in the past. So the algorithm would follow that trend. Few popular algorithms include<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Linear Regression<\/li><li>Support Vector Classifiers<\/li><li>Decision Trees<\/li><li>Random Forests<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Stay tuned for the next installment in this series to learn about Unsupervised Learning.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Visit QuantInsti for additional insight on this topic:&nbsp;<\/em><a href=\"https:\/\/blog.quantinsti.com\/machine-learning-classification\/\">https:\/\/blog.quantinsti.com\/machine-learning-classification\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em><small>Disclaimer: All investments and trading in the stock market involve risk. Any decisions to place trades in the financial markets, including trading in stocks or other financial instruments is a personal decision that should only be made after thorough research, including a personal risk and financial assessment and the engagement of professional assistance to the extent you believe necessary. The trading strategies or related information mentioned in this article is for informational purposes only.<\/small><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kshitij Makwana and Satyapriya Chaudhari present an overview of Machine Learning Classification, and provide details on building Supervised Learning models.<\/p>\n","protected":false},"author":616,"featured_media":76258,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":true,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[339,338,350,341,344],"tags":[851,9589,9590,852,9586,9587,2308,9588],"contributors-categories":[13654],"class_list":["post-84709","post","type-post","status-publish","format-standard","has-post-thumbnail","category-data-science","category-ibkr-quant-news","category-quant-asia-pacific","category-quant-development","category-quant-regions","tag-algo-trading","tag-classifier-models","tag-hyperparameter-tuning","tag-machine-learning","tag-machine-learning-classification-algorithms","tag-supervised-learning","tag-trading-algorithms","tag-unsupervised-learning","contributors-categories-quantinsti"],"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"<!-- This 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