Last Updated: 23 Feb 2019 | 5 min read
Quite a lot of thought was given to the calculation capabilities of a computer and how it gets you the solutions to multiple as well as complex problems in a matter of split seconds. Technically understanding only binary language, these computers mainly follows the code in getting the task accomplished in the nick of time.
Tech is evolving constantly and with current enhancements, computers are not only following or running a set of code to execute a task and get you the results but also are allowed to make their own decision with minimal human intervention. This has turned out to be an interesting and promising aspect of study and implementation. This method is known as Machine Learning. We are going to cover its major aspects and everything else that is necessary for you to know in this blog post.
Machine Learning is a wing of Artificial Intelligence that primarily deals in data analysis wherein algorithms, statistical & analytical models are put under observation by the computer system in order to improve the performance for a selected task. The system when exposed with the data sets provided, identifies and derives the pattern build so that it supports the conclusion in deducting & making its own decision. This entire process requires very less human input or initiative. This practice can produce more accurate results without being the need to program it. Many top mobile app development company such as ourselves are constantly involved into Machine Learning as it brings many other opportunities also such as video/image recognition, optical character recognition, advanced customization, intelligent and sensory data analysis, etc.
Below mentioned are few of the reasons that will explain the importance of Machine Learning and its relevance in today’s computing world.
1) Machine Learning helps in understanding today’s current problems and addresses the challenges by building models. These models can help in solving more complex problems and generate more accurate results. When multiplied in terms of numbers, these models with more accuracy helps in averting the risk factor.
2) Machine Learning has saved human time and reduced effort in providing accurate results and personalized information. This ultimately results in increasing human efficiency and productivity.
3) The world is full of data right now. Information in the form of numbers, stats, data is just lying in abundance in various forms such as emails, social media posts, blogs, podcasts, reports, etc, it is not possible to handle it without any structured system of calculation. Moreover, there is also threat looming over missing out on important information or content. With Machine Learning we are able to not only control this but also helps in locating the most relevant content.
4) The computation is cheap and with the numerous data information available, many variations of experiments and calculations can be carried out in a matter of seconds. This would otherwise take ages and lengthy process.
5) With the help of multifarious technologies it supports, it can be adapted by any system. Its skilled implementation and execution can be applied to different industry segments in many possible ways.
There is a wide range of practical application of Machine Learning that is implied from the motion picture in Netflix to race track analysis to self-driving cars. If anyone would look closely, machine learning has got practical implications in almost every industry sector. From retail to entertainment to automotive, every industry is encouraging to put machine learning to put to greater use.
The future of Machine Learning has just begun. More and more advancements are awaiting with present technologies. Although its algorithms have also taken benefit of computer science in every aspect. In nearly a decade, industry pundits have claimed to see a wider usage of machine learning algorithms to be seen in every process.