The term Machine Learning has probably been the hottest term in the sphere of computer science and Tech industry in recent times. Machine Learning had its impact on almost every industry during the last decade. Today from the sophisticated equipment used for medical purpose or the video streaming app in the smartphone all uses machine learning. Machine Learning or ML as it is abbreviated is actually a method of achieving Artificial Intelligence or AI in the machine through a computer programme. It is startling to know that, businesses which have started with a focus only on machine learning have already become a multibillion-dollar industry. All those predictions about machine learning in 2016 & 17 have turned out to be true and IT industry should look out for the new and rocking trends in 2018.

• Edge Computing

Machine Learning programmes rely on its own capability to how quickly it can perform complex data analysis. Often in case of a low-suspended application like in an unmanned aerial vehicle, they tend to fail because of the delay in analysing complex data in the cloud. Edge computing which actually mimics public cloud by supplying consistent services and endpoints that could be used by the applications seems to arise as a solution in the above-mentioned cases where ML tends to fail.

• Personalized tech experience will emerge

Chatbots have already become a business force to reckon with, 2018 will be the year to watch out when technologies of machine learning become convenient and applicable for the end users as well. We should also see a boom in “Personal Virtual Assistant” application. As we all know that, these applications will have the ability to link a usage data saved across various databases of a user’s application. It will then identify patterns to create a personalized user experience.

• ML decision making will be more transparent

Machine Learning algorithms are increasingly impacting our everyday lives especially in the field of media, law, health care and engineering. We are becoming more and more dependent on the verdicts were given by machine-learned algorithms. Although this has become the reality of our lives, it is still difficult for most of us to understand how it works. There is an obvious need to increase machine learning algorithms more comprehensible for a human. Let’s hope that 2018 will be the when this is going to happen.

• A race to produce the affordable cloud-based AI

Artificial Intelligence powered by AI although influencing our lives daily, it is still not an affordable technology for all businesses. Development of cloud-based AI could change just that. It could enable small businesses to use the power of AI. In fact, this could be the most sparkling trend of Machine Learning in 2018.

• There will be a shift towards meta-learning

Machine learning algorithms depend heavily on their learning data and extensive data gathered from real-life exposure to enhance their logic. Meta-learning or in specific term Few-shot learning is focusing on enhancing machine learning algorithms in a way so that it can learn from a manageably smaller number of examples. This area is extremely interesting and people will keep a keen eye on its development. An example may be DeepMinds AlphaGo Zero who defeated its human competitors but have not met a human player who had played more than 5 million games, but the programme was fed or exposed to a much larger dataset