Top Machine Learning Trends To See In 2017

Artificial Intelligence and Machine Learning have taken the whole world by storm with all these stupefying inventions and cutting edge technologies coming into picture. Seeing the ongoing advancements, it’s not that hard to picture a world where Machines and Robots will be dominating the society. Artificial Intelligence is quite an extensive field and it has the power and potential to take the mankind towards a far out future. Machine Learning being a pivotal part of Artificial Intelligence has made quite a progress over the last couple of days.

Machine Learning deals with the development of complex and powerful algorithms which when implemented give machines or computers the ability to learn from the user experience. Machine Learning makes use of a number of advanced computing techniques such as pattern recognition, computational learning, deep learning, supervised learning and neural networks. The Machine Learning algorithms are so devised that they can self-teach and evolve over time when exposed to high volumes of data. Machine Learning is widely used in data analytics. When used in Predictive Analytics, it greatly streamlines the decision making process. There are dozens of such marvelous applications of Machine Learning in various fields and many new are yet to emerge. Following are some of the latest trends in Machine Learning for the year 2017.

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The Development Trends

As per the Top 10 Technology Trends by Gartner, both Machine Learning and Artificial Intelligence will dominate the application development industry in 2017. The use of Machine Learning in mobile apps is rapidly increasing. All the leading e-commerce sites have already employed Machine Learning techniques in their respective mobile applications while a number of social networking and dating sites are also doing the same thing.

This widespread adaptation of Machine Learning is a clear indication that 2017 is going to be witness some major upscale in the use of AI and Machine Learning in development landscape.

Cloud Computing

The cloud computing is as new as the ML itself. It’s been only a decade since the emergence of cloud, but during this period, the cloud platform has shown a phenomenal growth both in terms of expansion and user base. The whole world is moving towards cloud. As astounding as it sounds, the Google servers alone carry about 15 exabytes (EB) of data where 1 EB is equivalent to 1 million terabytes (TB) or 1 billion gigabytes (GB). The figures are huge indeed and they tend to rise further in the coming years. Seeing the ongoing trends, it’s but obvious that the influence of Machine Learning and AI in Cloud Computing tends to rise and the year 2017 can prove to be quite consequential in this context.

The Use of Machine Learning In R & D

There’d be hardly any industry that can’t be benefited from the flabbergasting aspects of Machine Learning. One industry however, that was somehow kept devoid of Machine Learning is the Research and Development. But things are starting to change pretty quickly and soon we may see Machine Learning ruling the R&D industry as well. The Forbes magazine in its recent issue had already predicted that Big Data and Machine Learning will be the two sparkling aspects of computer science that are all set to show some major inclinations in 2017.

So all in all, there’s no denying that Machine Learning has a bright future and it can sure as hell become a vital part of every leading industry in the near future.