{"id":285,"date":"2019-02-20T09:25:20","date_gmt":"2019-02-20T09:25:20","guid":{"rendered":"https:\/\/cyfuture.com\/blog\/?p=285"},"modified":"2021-11-26T13:24:09","modified_gmt":"2021-11-26T07:54:09","slug":"machine-learning-a-new-wave-of-intelligent-automation","status":"publish","type":"post","link":"https:\/\/cyfuture.com\/blog\/machine-learning-a-new-wave-of-intelligent-automation\/","title":{"rendered":"Machine Learning \u2013 A New Wave of Intelligent Automation"},"content":{"rendered":"\n

\u201cA year spent in artificial\nintelligence is enough to make one believe in God.\u201d <\/em><\/strong><\/p>\n\n\n\n

\u2014 Alan Perlis<\/em><\/strong><\/p>\n\n\n\n

In this day and age of digitalization,\nhumans and machines are living together. As far as we, i.e. humans, are\nconcerned, we have been evolving by learning from our past experience for millions\nof years. On the flip side, however, the era of machine learning has just\nstarted.<\/p>\n\n\n\n

Since the arrival of avant-garde technology, the job of managing processes has become quite easy for humans. For instance, we can do shopping, banking, etc. from our comfort zone. Actually, it wouldn\u2019t be wrong to say that living without the present state-of-the-art technology could be very difficult for us.<\/p>\n\n\n\n

Read More :<\/strong> Chatbots & Live Chat | A Sprint to Sublime Customer Service<\/a><\/p>\n\n\n\n

Expectations from machines have been increasing with every passing day. Many developed countries like USA, Australia, etc. have been working on artificial intelligence (AI)<\/a> to make those things possible which were beyond our imaginations just a few decades ago. <\/p>\n\n\n\n

With the help of AI, machines can learn from their own experience without being programmed for new things. This is known as Machine Learning (ML).<\/strong> <\/p>\n\n\n\n

Machine learning, an application of artificial intelligence, lets systems learn from the stored data and give outcomes according to the situation. Seeking some real-time examples related to ML? Here\u2019re some that may act as eye-openers:<\/p>\n\n\n\n

While checking desired products on\ne-commerce websites, generally, similar products of other brands also come out\nas suggestions. Have you ever thought who decides those recommendations? Well, pal,\nit is machine learning at work!<\/em><\/p><\/p>\n\n\n\n

Another example: Sometimes, people get\ncontacted by banks or finance companies regarding a loan or an\ninsurance policy. But the question that arises here is \u2018Do they contact all\ntheir customers?\u2019 Of course not! They select only those customers who seem\npotential loaners or borrowers. In doing this, the underlying basis is none\nother than machine learning algorithms. <\/em><\/p>\n\n\n\n

Machine learning helps build models from sample data which can help automate the decision-making process and be used for prediction and forecasts. There should be constant machine learning model management<\/a> after training an ML model to make it perform efficiently.<\/p>\n\n\n\n

Curious about the types of machine learning algorithms? Let\u2019s get the ball rolling:<\/p>\n\n\n\n

Supervised Learning  <\/h3>\n\n\n\n

You may already have got an idea about\nsupervised learning, as its name is self-explanatory. To leave nothing to\nchance, however, we like to mention that these machines require a \u2018supervisor\u2019 to\nlearn. Here, a dataset acts as a teacher, and essays the role of a \u2018trainer\u2019 of\nmachines. <\/p>\n\n\n\n

After the training, the output\ngenerated by the machines gets checked against the intended result. If there\u2019s\nsome difference, a process gets initiated to find errors. After identifying and\nrectifying the ambiguities, the machines run again to check whether accurate results\nare being generated or not.<\/p>\n\n\n\n

Unsupervised Learning<\/h3>\n\n\n\n

Contrariwise to supervised\nlearning, these machines don\u2019t need a teacher in order to learn. In\nunsupervised learning, all that needs to be done is giving an initial protocol\nand dataset to a machine. Once it\u2019s done, the machine automatically starts\nlearning by creating clusters after finding out patterns and relationships in\nthe dataset.<\/p>\n\n\n\n

Here, it is worthy to note that machines cannot add labels to the created cluster. For instance, they cannot say if an object belongs to \u2018apples\u2019 or \u2018mangoes\u2019 without prior classification; however, they can separate all the mangoes from the group of apples.<\/p>\n\n\n\n

Informative Blog:<\/strong> The Enigma of AI-backed BPS<\/a><\/p>\n\n\n\n

Semi-supervised learning<\/h3>\n\n\n\n

To describe semi-supervised\nlearning in the simplest manner, you can say it is the combination of supervised\nand unsupervised learning. In supervised learning, a machine gets labeled data\nto learn, while unlabeled data gets provided to a machine when unsupervised\nlearning is used.<\/p>\n\n\n\n

By means of semi-supervised\nlearning, learning accuracy can be improved very easily. Customarily, semi-supervised\nmachine learning gets preference when the labeled data isn\u2019t enough to train a\nmachine. <\/p>\n\n\n\n

Reinforcement learning       <\/h3>\n\n\n\n

Reinforcement learning, a type of\ndynamic programming, trains a machine as per the system of reward and\npunishment. For better understanding, if machines perform in the way which they\nare supposed to, they get reward points and vice versa.<\/p>\n\n\n\n

Actually, the idea behind this is\nto make certain that machines act appropriately in the environment they are put\nin. Furthermore, machines are deemed to swing into operation once they start\nscoring maximum reward points and making negligible errors.  <\/p>\n\n\n\n

Wrapping up:<\/h3>\n\n\n\n

After understanding machine\nlearning\u2019s basics, we hope that you have got a better insight into machine\nlearning (ML). Here, we would like to mention that many enterprises have been\nusing machine learning applications so that business growth can be achieved in\nan effective manner. <\/p>\n\n\n\n

There are many reputed vendors like\nAmazon, Google, IBM, etc. that have immense experience in handling ML activities\nthat include data collection, data preparation, etc. For these activities,\nthey are being approached by those companies that really want to achieve their business\nobjectives as quickly as possible.<\/p>\n\n\n\n

Are we done here? Nope. After\ngoing through several research reports, we have got our hands on some stats\nthat have the potential to leave you stunned. So, take a gander:<\/p>\n\n\n\n

  • 85% of\ncustomer interactions will be handled without any human intervention by 2020.<\/li>
  • In 2017, Netflix\nhad saved $1 billion by using machine learning for making individualized recommendations.<\/li>
  • 20% of the\nC-suites are already making use of machine learning.<\/li>
  • 72% of\nbusiness leaders say that AI lets humans focus on more productive work.<\/li>
  • 84% of organizations\nbelieve that investing in AI can help gain significant competitive advantages.<\/li><\/ul>\n\n\n\n

    Finally, we are finished with elaborating\nupon the prominence of machine learning. Hope you have got all the information\nthat you were seeking, and enjoyed the whole tour of this write-up.     <\/p>\n\n\n\n

    Thanks for staying connected till\nthe end!!<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u201cA year spent in artificial intelligence is enough to make one believe in God.\u201d \u2014 Alan Perlis In this day and age of digitalization, humans and machines are living together. As far as we, i.e. humans, are concerned, we have been evolving by learning from our past experience for millions of years. On the flip […]<\/p>\n","protected":false},"author":6,"featured_media":287,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[7],"tags":[],"_links":{"self":[{"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/posts\/285"}],"collection":[{"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/comments?post=285"}],"version-history":[{"count":15,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/posts\/285\/revisions"}],"predecessor-version":[{"id":66788,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/posts\/285\/revisions\/66788"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/media\/287"}],"wp:attachment":[{"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/media?parent=285"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/categories?post=285"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/tags?post=285"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}