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Machine learning is the process of teaching a computer system on how to make precise predictions when victualed data. It is not a new technique; it has evolved in 1959s and witnessed huge success from the year 1959s to the 1990s. In the year 1997 IBM's machine learning software “Deep Blues” beats a world chess champion in the game.

How Machine Learning affects our everyday life?

The machine learning is having a direct impact on many aspects of our lives. Many people think that the implications of machine learning on industries and professions are miraculous. Here are some examples: -

Health: - Machine Learning plays a huge role in our health. It is used for faster patient diagnosis. ML is also tackling some of medicine's most intractable problems, such as allowing researchers to better understand genetic diseases using predictive models. Hospitals are currently utilizing AI algorithms to make accurately detect tumors in radiology scans and analyze different moles for skin cancer and machine learning is being habituated to expedite research towards a remedy for cancer. Digital Media:- Nowadays, all tech. giants are looking at ml. Netflix, Amazon Prime, Spotify, Google Play, Facebook, Twitter, Pinterest are using a machine learning algorithm to eliminate buffering, low-quality playback, to enable better curation of the content for users. Banking:- Nowadays, everyone has their own bank account in India. Most of the peoples are using debit & credit cards. Thousands of transactions are happening daily on a daily basis. Have you ever thought that who will monitor these transactions? How many man hours would it take for employees to sift through the thousands of transactions that take place every day? By the time they descried an anomaly, your bank account could be vacuous, or your credit card maxed out. The machine learning-based anomaly detection models monitor transactions. They can spot patterns in your transactions and alert users to suspicious activity.

The reason for the growth of Machine Learning: According to the latest report of Univac, machine learning is predicted to skyrocket in the next two years, with 96% of companies expecting to utilize it in production projects. Big data, Cloud computing, IoT (Internet of things), these are some key factors responsible for the immense growth of machine learning. Big data analytics brings unstructured data into the fold – managing the exponentially-growing information gleaned from social media aliments, emails, blogs, videos, call logs and from other sources. It is not possible for human beings to analyze that unstructured data. Therefore, organizations are using machine learning to analyze huge amounts of unstructured amounts of data. We are using IoT in devices, business intelligence tools, sensors, etc. According to many industry experts, the next big wave of technology lies within the IoT. Cloud systems have powerful machine learning and artificial perspicacity engines that ingest victuals of data being engendered by these IoT contrivances and engender business logic that drives operational decisions.

With more and more organizations are implementing machine learning, the scope will keep increasing. Millions of peoples have shaped up their careers with ml. Now, it could be your turn, because according to a report, 1.4 million jobs to be filled by the end of 2020.