{"id":2727,"date":"2019-09-05T10:31:07","date_gmt":"2019-09-05T10:31:07","guid":{"rendered":"https:\/\/cloudxlab.com\/blog\/?p=2727"},"modified":"2019-09-05T10:33:10","modified_gmt":"2019-09-05T10:33:10","slug":"big-data-vs-machine-learning","status":"publish","type":"post","link":"https:\/\/cloudxlab.com\/blog\/big-data-vs-machine-learning\/","title":{"rendered":"Big Data vs Machine Learning"},"content":{"rendered":"\n<p>Every day the world is advancing into the new level of industrialization and this has resulted in the production of a vast amount of data. And, at initial stages, people started considering it as a bane, but later they found out that it\u2019s a boon. So, they started using this data in a productive way. Big data and machine learning are terminologies based on the concept of analyzing and using the same data. Let\u2019s get into more details.<\/p>\n\n\n\n<!--more-->\n\n\n\n<p><strong>Big Data<\/strong><br><\/p>\n\n\n\n<p>According to Wikipedia, Big Data \u201cis a field that treats ways to analyze, systematically extract information from, or otherwise, deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.\u201d&nbsp;<br><\/p>\n\n\n\n<p>In simple words, it is used to find the patterns and predict the data based on that.<br><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img width=\"1024\" height=\"576\" src=\"https:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2019\/09\/netflix-1024x576.png\" alt=\"\" class=\"wp-image-2728\" srcset=\"https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/09\/netflix-1024x576.png 1024w, https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/09\/netflix-300x169.png 300w, https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/09\/netflix-768x432.png 768w, https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/09\/netflix-1200x675.png 1200w, https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/09\/netflix.png 2000w\" sizes=\"(max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 1362px) 62vw, 840px\" \/><figcaption><strong>Ever thought why Netflix always delivers you the best series, well, it is a result of Big data analysis.\ufeff<\/strong>\ufeff<\/figcaption><\/figure>\n\n\n\n<p><strong>Machine Learning<\/strong><br><\/p>\n\n\n\n<p>According to Wikipedia, Machine Learning \u201cis the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead.\u201d It is seen as a subset of artificial intelligence.<br><\/p>\n\n\n\n<p>Simply, it is the concept in which the machine uses the data to learn and perform actions.<br><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img width=\"1024\" height=\"576\" src=\"https:\/\/blog.cloudxlab.com\/wp-content\/uploads\/2019\/09\/uber-1-1024x576.jpg\" alt=\"\" class=\"wp-image-2730\" srcset=\"https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/09\/uber-1-1024x576.jpg 1024w, https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/09\/uber-1-300x169.jpg 300w, https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/09\/uber-1-768x432.jpg 768w, https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/09\/uber-1-1200x675.jpg 1200w, https:\/\/cloudxlab.com\/blog\/wp-content\/uploads\/2019\/09\/uber-1.jpg 2000w\" sizes=\"(max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 1362px) 62vw, 840px\" \/><figcaption><br>Do you know how Ola\/Uber manages to give you the dynamic price based on time and distance? Well, it\u2019s nothing but Machine Learning.<\/figcaption><\/figure>\n\n\n\n<p><strong>How is Big Data different from Machine learning?<\/strong><br><\/p>\n\n\n\n<ol><li>Big Data can be implemented in various fields. This includes the banking sector, financial analysis, media &amp; communication industry and many more whereas machine learning is mainly focused on the automation of things and thus this is mostly limited to technical fields.<\/li><li>Big data mainly focus on collecting a large amount of data and predicting the patterns in the data, whereas Machine Learning is the concept of learning from the trained data and using it to predict the data.<\/li><li>Big data is the concept of dealing with a large amount of data, whereas machine learning is the concept of dealing with the subsets of these trained datasets.<\/li><li>Big data analytics basically uses the classification and sequence analysis to predict the patterns, whereas machine learning uses the same algorithm to learn from the collected data automatically.<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Every day the world is advancing into the new level of industrialization and this has resulted in the production of a vast amount of data. And, at initial stages, people started considering it as a bane, but later they found out that it\u2019s a boon. So, they started using this data in a productive way. &hellip; <a href=\"https:\/\/cloudxlab.com\/blog\/big-data-vs-machine-learning\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Big Data vs Machine Learning&#8221;<\/span><\/a><\/p>\n","protected":false},"author":23,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[24,28],"tags":[42,81,16],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v16.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Big Data vs Machine Learning | CloudxLab Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cloudxlab.com\/blog\/big-data-vs-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Big Data vs Machine Learning | CloudxLab Blog\" \/>\n<meta property=\"og:description\" content=\"Every day the world is advancing into the new level of industrialization and this has resulted in the production of a vast amount of data. 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