{"id":36490,"date":"2023-04-12T06:22:25","date_gmt":"2023-04-12T06:22:25","guid":{"rendered":"http:\/\/6436466d321277e4fa592844"},"modified":"2023-08-31T09:44:42","modified_gmt":"2023-08-31T09:44:42","slug":"the-comprehensive-guide-to-understanding-machine-learning","status":"publish","type":"post","link":"https:\/\/web.kalpakprojects.com\/Extentia\/the-comprehensive-guide-to-understanding-machine-learning\/","title":{"rendered":"The Comprehensive Guide to Understanding Machine Learning"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"36490\" class=\"elementor elementor-36490\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-430bd40 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"430bd40\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0b9b754 ot-flex-column-vertical\" data-id=\"0b9b754\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c91a1c0 elementor-widget elementor-widget-heading\" data-id=\"c91a1c0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.8.1 - 13-11-2022 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h6 class=\"elementor-heading-title elementor-size-default\">The Comprehensive Guide to Understanding Machine Learning<\/h6>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-816a5fb elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"816a5fb\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3830b15 ot-flex-column-vertical\" data-id=\"3830b15\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cc126cf elementor-widget elementor-widget-text-editor\" data-id=\"cc126cf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.8.1 - 13-11-2022 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#818a91;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#818a91;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>&#8220;Computers are incredibly fast, accurate, and stupid; humans are incredibly slow, inaccurate, and brilliant; together, they are powerful beyond imagination&#8221; \u2013 This quote by Albert Einstein captures the essence of Machine Learning, where human intellect and machine capabilities join forces to achieve extraordinary outcomes.<\/p><p>Who would have thought this novice technology would become the Tour De Force today? Thus, making it essential to unravel the intricacies before predicting the future. This blog will discuss how ML (Machine Learning) works, the different types, and the evolution of this technology.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e444489 elementor-widget elementor-widget-image\" data-id=\"e444489\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.8.1 - 13-11-2022 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"740\" height=\"416\" src=\"https:\/\/web.kalpakprojects.com\/Extentia\/wp-content\/uploads\/2023\/04\/16fa7f_4dc931d584844f16864c6171d5692024mv2.webp\" class=\"attachment-medium_large size-medium_large\" alt=\"\" srcset=\"https:\/\/web.kalpakprojects.com\/Extentia\/wp-content\/uploads\/2023\/04\/16fa7f_4dc931d584844f16864c6171d5692024mv2.webp 740w, https:\/\/web.kalpakprojects.com\/Extentia\/wp-content\/uploads\/2023\/04\/16fa7f_4dc931d584844f16864c6171d5692024mv2-300x169.webp 300w\" sizes=\"auto, (max-width: 740px) 100vw, 740px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-646c621 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"646c621\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3ae806f ot-flex-column-vertical\" data-id=\"3ae806f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c691ef1 elementor-widget elementor-widget-text-editor\" data-id=\"c691ef1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tThe Evolution of Machine Learning &#8211; Dates to the 1940s \t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0be781b elementor-widget elementor-widget-text-editor\" data-id=\"0be781b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tAlan Turing \u2013 a British mathematician and computer scientist \u2013 coined the notion of machines emulating human cognition. Concurrently, Frank Rosenblatt conceived Perceptron, the pioneering algorithm capable of data-driven learning, establishing the groundwork for Neural Networks. By the 70s, the research in Artificial Intelligence encountered significant hurdles, including unmet expectations, constrained computational resources, and insufficient data. This era dubbed the &#8220;AI Winter,&#8221; resulted in waning enthusiasm and reduced funding for further initiatives.<br>However, the late 1980s and 1990s witnessed the emergence of more powerful computers and parallel processing, reinvigorating the Machine Learning domain. Researchers gained the ability to manipulate much larger datasets and implement intricate algorithms, expediting the innovation trajectory. In 1997, IBM&#8217;s Deep Blue garnered attention by defeating world chess champion Garry Kasparov, epitomizing the first instance of a machine superseding human intellect in a highly strategic contest, thus underscoring Machine Learning\u2019s potential two decades later.<br>Fast forward to the 21st century, whether it\u2019s IBM Watson&#8217;s Jeopardy victory, Google AlphaGo&#8217;s Go World Champion triumph, or the recent advent of ChatGPT \u2013 the past decade has signified the stride in Machine Learning evolution. These models epitomize state-of-the-art Natural Language Processing, analyzing, and facilitating various applications from chatbots to content creation. Speaking of ChatGPT, read our comprehensive series on OpenAI\u2019s disruption in the conversational AI industry \u2013 including the latest developments in the GPT-4 architecture.\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c7d9fcd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c7d9fcd\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ca7bd6c ot-flex-column-vertical\" data-id=\"ca7bd6c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-273c238 elementor-widget elementor-widget-text-editor\" data-id=\"273c238\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tUnderstand the Types of Machine Learning \t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc7a318 elementor-widget elementor-widget-text-editor\" data-id=\"bc7a318\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tMachine learning is a multifaceted marvel categorized into three fundamental types based on the techniques it employs to adapt. These types can be broadly classified into Supervised Learning, Unsupervised Learning, and Reinforcement Learning, with a fourth one often called Semi-supervised Learning: \t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-97f353c elementor-widget elementor-widget-text-editor\" data-id=\"97f353c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>1.Supervised Learning:<\/b> Picture a wise teacher guiding a student \u2013 that&#8217;s Supervised Learning! Here, we train an algorithm using a labeled dataset with input-output examples. Imagine teaching a model to tell cats and dogs apart where the algorithm learns to recognize unique features and can classify new images.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e0d4f81 elementor-widget elementor-widget-text-editor\" data-id=\"e0d4f81\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><b>2.Unsupervised Learning:<\/b> Now, imagine a detective finding clues without guidance \u2013 that&#8217;s Unsupervised Learning \u2013 dealing with problems where no labeled data is available. Instead, discovering patterns within the data through clustering makes it ideal for anomaly detection and data compression applications. <\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c2dbc8 elementor-widget elementor-widget-text-editor\" data-id=\"7c2dbc8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<b>3.Reinforcement Learning:<\/b> Think of a kid learning to ride a bike through trial and error \u2013 that&#8217;s Reinforcement Learning! Here, the algorithm interacts with an environment, receiving rewards or penalties as feedback. Remember Google\u2019s AlphaGo? That used Reinforcement Learning to defeat the world champion in Go.  .\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-691813e elementor-widget elementor-widget-text-editor\" data-id=\"691813e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<b>4.Semi-supervised Learning:<\/b> Semi-supervised machine learning is a type of learning where a model is trained on both labeled and unlabeled data. The labeled data helps the model to learn patterns and make accurate predictions, while the unlabeled data assists in improving its overall performance. Semi-supervised learning is valuable when obtaining labeled data is difficult or expensive. It has been successfully applied in various fields, such as speech recognition, natural language processing, and computer vision. \t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e0cc360 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e0cc360\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-008944e ot-flex-column-vertical\" data-id=\"008944e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1afb22e elementor-widget elementor-widget-text-editor\" data-id=\"1afb22e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tElaborating the Core Fundamental of Machine Learning \t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-922f25b elementor-widget elementor-widget-text-editor\" data-id=\"922f25b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Envision a world where machines identify patterns and make informed predictions, continuously adapting to the ever-changing data environment. At the core of this vision is a four-step process that intertwines the components of Machine Learning. The initial step \u2013 Data Collection \u2013 requires thoroughly gathering relevant information from various sources, including sensors, databases, and user interactions. It\u2019s essential to note that the quality of the data collected influences the model&#8217;s performance, exemplifying the concept of &#8220;garbage in, garbage out.&#8221;<\/p><p>The process then proceeds to Model Training, where the algorithm refines its parameters, enhancing its ability to minimize errors and maximize predictive accuracy. This careful equilibrium reduces overfitting or underfitting and is achieved by dividing the data into validation sets. Subsequently, Performance Evaluation is done through metrics such as accuracy, precision, recall, and the F1 score. Once the model satisfies the predetermined benchmarks, Deployment takes place in real-world applications, confidently making predictions on previously processed data.<\/p><p>Machine Learning has become an indispensable tool in various domains, from simple algorithms in the 1950s to the GPT-4 architecture. As we continue to witness rapid advancements in computing power and data generation, there&#8217;s no doubt that Machine Learning will play an even more significant role in shaping our future. However, Machine Learning \u2013 as a particular domain \u2013 might not be sufficient to propel the innovation forward, thus, requiring subsets or purpose-built applications to disrupt at a broader scale. Which applications? Let\u2019s answer that in our next blog. Stay tuned!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-65a7e5a elementor-widget elementor-widget-text-editor\" data-id=\"65a7e5a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Read other Extentia Blog posts <a href=\"https:\/\/web.kalpakprojects.com\/Extentia\/media-resources\/blog\/\"><span style=\"color: red;\"><span style=\"text-decoration: underline;\">here<\/span><\/span><\/a>!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d447da6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d447da6\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8406e0f ot-flex-column-vertical\" data-id=\"8406e0f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-806d253 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"806d253\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.8.1 - 13-11-2022 *\/\n.elementor-widget-divider{--divider-border-style:none;--divider-border-width:1px;--divider-color:#2c2c2c;--divider-icon-size:20px;--divider-element-spacing:10px;--divider-pattern-height:24px;--divider-pattern-size:20px;--divider-pattern-url:none;--divider-pattern-repeat:repeat-x}.elementor-widget-divider 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100%;-webkit-mask-repeat:var(--divider-pattern-repeat);mask-repeat:var(--divider-pattern-repeat);background-color:var(--divider-color);-webkit-mask-image:var(--divider-pattern-url);mask-image:var(--divider-pattern-url)}.elementor-widget-divider--no-spacing{--divider-pattern-size:auto}.elementor-widget-divider--bg-round{--divider-pattern-repeat:round}.rtl .elementor-widget-divider .elementor-divider__text{direction:rtl}.e-con-inner>.elementor-widget-divider,.e-con>.elementor-widget-divider{width:var(--container-widget-width,100%)}<\/style>\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2eadd6c elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2eadd6c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-32a3ff6 ot-flex-column-vertical\" data-id=\"32a3ff6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-257ee30 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"257ee30\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-a4c788c ot-flex-column-vertical\" data-id=\"a4c788c\" data-element_type=\"column\">\n\t\t\t<div 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elementor-element-aca50fa elementor-widget elementor-widget-text-editor\" data-id=\"aca50fa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><a href=\"https:\/\/web.kalpakprojects.com\/Extentia\/category\/blog\/data-science\/\">Data Science<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5107a6b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5107a6b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bd6c516 ot-flex-column-vertical\" data-id=\"bd6c516\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1a41866 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"1a41866\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The Comprehensive Guide to Understanding Machine Learning &#8220;Computers are incredibly fast, accurate, and stupid; humans are incredibly slow, inaccurate, and brilliant; together, they are powerful beyond imagination&#8221; \u2013 This quote by Albert Einstein captures the essence of Machine Learning, where human intellect and machine capabilities join forces to achieve extraordinary outcomes. Who would have thought [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[95],"tags":[],"class_list":["post-36490","post","type-post","status-publish","format-standard","hentry","category-data-science"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/web.kalpakprojects.com\/Extentia\/wp-json\/wp\/v2\/posts\/36490","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.kalpakprojects.com\/Extentia\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/web.kalpakprojects.com\/Extentia\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/web.kalpakprojects.com\/Extentia\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/web.kalpakprojects.com\/Extentia\/wp-json\/wp\/v2\/comments?post=36490"}],"version-history":[{"count":9,"href":"https:\/\/web.kalpakprojects.com\/Extentia\/wp-json\/wp\/v2\/posts\/36490\/revisions"}],"predecessor-version":[{"id":37841,"href":"https:\/\/web.kalpakprojects.com\/Extentia\/wp-json\/wp\/v2\/posts\/36490\/revisions\/37841"}],"wp:attachment":[{"href":"https:\/\/web.kalpakprojects.com\/Extentia\/wp-json\/wp\/v2\/media?parent=36490"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/web.kalpakprojects.com\/Extentia\/wp-json\/wp\/v2\/categories?post=36490"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/web.kalpakprojects.com\/Extentia\/wp-json\/wp\/v2\/tags?post=36490"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}