{"id":9380,"date":"2016-10-25T10:17:53","date_gmt":"2016-10-25T08:17:53","guid":{"rendered":"https:\/\/stage-fp.webenv.pl\/blog\/?p=9380"},"modified":"2025-11-07T11:40:27","modified_gmt":"2025-11-07T10:40:27","slug":"machine-learningin-a-nutshell-infographic","status":"publish","type":"post","link":"https:\/\/www.future-processing.com\/blog\/machine-learningin-a-nutshell-infographic\/","title":{"rendered":"Machine Learning in a nutshell – infographic"},"content":{"rendered":"\n

The concept of Machine Learning derives from constant development of smart technologies, happening right in front of our eyes. But how does it actually work and when did it start? <\/span><\/p>\n\n\n\n

These are only a few questions we will answer in our <\/span>machine learning infographic. <\/a><\/p>\n\n\n\n

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Machine Learning in a nutshell<\/h2>\n\n\n\n

Technology today is evolving today at such a pace that predictions of trends and innovations can be out of date even be<\/span>fore the studies<\/span> <\/span>are<\/span> published in the form of an article or research paper<\/span>s<\/span>. The very evolution of technology enables and accelerates the changes and subsequently causes the rapid progress<\/span> towards <\/span>future technologies<\/a><\/span> that we see in today\u2019s technological world. <\/span> <\/span><\/p>\n\n\n\n

Technology-based careers do not<\/span> often change at<\/span> the same pace, but the modern world IT professional is aware that his or her role may not stay the same. The IT professional in 2020 is<\/span> not limited to traditional <\/span>software development<\/span><\/a> but rather is<\/span> always learning. <\/span> <\/span><\/p>\n\n\n\n

Some of the major players in the technologically evolving world today include Artificial Intelligence (AI), Machine Learning, Robotic Process Automation (RPA), <\/span>Blockchain<\/span><\/a>, Edge Computing, Virtual Reality and Augmented Reality, Internet of Things, <\/span>Big Data<\/span><\/a>, <\/span>Business Intelligence<\/span><\/a>, etc.<\/span> <\/span><\/p>\n\n\n\n

Machine L<\/span>earning<\/span> (ML)<\/span> is without a doubt one of the most popular technologies today. Machine learning has begun to reshape how we live today, and it is important to understand what it is and how it influences the <\/span>lives<\/span> of humans. <\/span> <\/span><\/p>\n\n\n\n

What exactly is Machine Learning?<\/h2>\n\n\n\n

The<\/span> forma<\/span>l<\/span> and traditional<\/span> definition of ML<\/span> can be<\/span> stated as<\/span> \u201cA computer program learns from experience while doing some class of task if its performance measure improves at that task with expe<\/span>rience\u201d. This definition adheres to<\/span> <\/span>Alan Turing\u2019<\/span>s hypothesis<\/span> in his<\/span> 1950<\/span> paper \u201cComputing Machinery and Intelligence\u201d, in which <\/span>he asked,<\/span> \u201c<\/span>Can<\/span> a<\/span> machine think rationally?<\/span>\u201d <\/span>In simpler<\/span> term<\/span>s<\/span>, we can say that Machine learning (ML)<\/span> scrutinizes the mathematical patterns<\/span> of a task with the help of various<\/span> computer <\/span>algorithms and use<\/span>s<\/span> them to progressively improve the performance on a specific task.<\/span> <\/span> <\/span><\/p>\n\n\n\n

Because of the technological advances today, ML of today is largely different from the ML in the past. Machine learning originated from simple pattern recognition and on the simple ground basis that<\/span> computers can learn without any<\/span> human intervention. <\/span>The most vital aspect about ML algorithms<\/span> is that their independent adaptability as the model is exposed to a new<\/span>er<\/span> dataset. <\/span>The m<\/span>odel learns from the previous computational outputs to get reliable decisions and results.<\/span> In that sense, ML is not a new field of scie<\/span>nce or engineering. It is<\/span> a technology that has<\/span> <\/span>gained fresh momentum. <\/span> <\/span><\/p>\n\n\n\n

ML today can be seen everywhere, regardless of whether we notice it or not. Some of the major areas where ML is enriching human lives are:<\/span> <\/span><\/p>\n\n\n\n