State of Machine Learning 2018

 Combining Data Science with Predictive Analytics

In 2017, we witnessed data science making a pathway for Artificial Intelligence (AI) and Machine Learning (ML) at center stage of the technology cycle. Artificial Intelligence and machine learning (ML) had been trending topics for the whole year. AI applications have been increasingly used in numerous industries, including security, financial services, entertainment, automobiles, and more. There was a drastic growth in a variety of platforms like cloud machine learning and data science platforms.

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Starting from 2018 and in the coming years, it is eminent that this new automated technology would continue to seamlessly grow and deliver on the promise of offering the best sophisticated and intelligent automated analytics solutions in the digital era.

The combination of predictive analytics with data science will allow the educational institutions to reap all sorts of benefits.

What used to take days to execute can be easily done in a matter of seconds using AI and machine learning techniques.

Big data, artificial intelligence, and machine learning are likely to generate new job opportunities in 2018. This year we are supposed to witness a steep upward trend in demand for specialists with professional competency in emerging technologies such as big data, artificial intelligence, and machine learning. Although big data and analytics are relatively trending and the most sought-after professional skill set desired by companies across different sectors, AI and ML are not far behind.

The future of digital technology is here. 2017 saw incredible progression for things like data science, artificial intelligence, and machine learning. Where will they go in 2018?

Read the full article here by Maria Thomas