Saturday, 6 January 2018

Machine learning.By Aymun

Machine learning.

                                         Aymun

Machine learning is the next internet but we are still in the first minutes of the first day of internet revolution

Nature is self made machine, more perfectly automated than  any automated machine. To  create something in the image of nature is to create a machine and was by learning the inner working of nature that man became a builder of machine.
Our future success is mostly related to computer science branch. This branch can bring revolution in all other fields.
      Machine learning is one of the field of computer science that gives the computer the ability to learn without being explicitly programmed.
  This field is not yet so exploited. It is going through negative criticism that it would decrease in jobs, i.e human resources will lose its significance but there is no lack in its encouragement. People from other fields have embraced it.
                                             


Some of the evidences are mentioned as follows:-

 1.   A breakthrough  that machine learning would be worth of ten Microsoft’s (Bill Gates, Chairman          Microsoft).
 2.   Machine learning is the hot new thing ( John Hennessy, President Stanford).
 3.   Web ranking today are mostly a matter of machine learning ( Prabhaker Raghvan, Dir. Research,        Yahoo).
 4.  Machine Learning is going to result in a real revolution.( Greg Papadopolous, Foemer Ceo,                 Sun).
                                                 

            The term Machine Learning was coined by American pioneer Arthur Samuel in 1959. It explores the study and construction of algorithm overcome following  program instructions by making data driven predictions as decisions, trough building a model from sample inputs.
 Machine Learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible, example applications include email filtering, detection of network intruders or malicious insidious, working towards a data breach, learning to rank and computer vision.
 Machine Learning is closely related to Computational Statistics, which also focuses on prediction making through the use of computers. It has a strong ties to the Mathematical Optimization which delivers methods, theory and application domains to the field. Machine Learning is sometimes conflated with data mining where the latter sub field focuses more on exploratory data analysis and known as unsupervised learning. Machine Learning can also be unsupervised and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies.
                                                                
                                                                         

Within the field of data analytics, machine learning is a method used to devise complex models and algorithms that lends themselves to prediction, in commercial use this is known as prediction analytics. These analytical models allow researchers, data scientists, engineers, and analysts to produce reliable repeatable decisions and results and uncover insights through learning  from historical relationships and trends in data.
 Humans resists the change but machines don’t even the best technologies run out of the race with time .So, we have to always welcome the new technology with praising comments. The thing we should remember is that it’s always darkest before dawn . 





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