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About us – Online Data Science Courses Academy and we provides other courses machine learning, Artificial Intelligence and Domain Analytics.
Well Data Science has come up with the observations and inferences. When it comes into the digital era, this becomes even more precedential as users preferences and search histories could be accessed if users permit it.
The Revolution of Data
With the abundance of data around the year 2010, it became possible to start training machines with a data-based approach rather than a knowledge-based approach. All the theory and all the articles written on the recurrent neural networks that supported vector machines seemed feasible. It was the start of something that could change the way we live and how we live things in this world. Deep learning was no longer just an academician’s concept that laid in a research paper. It now became a tangible and useful class of learning that had the potential to affect our very everyday lives. AI and Machine Learning kept dominating the media, thus overshadowing all aspects of Data Science like Metrics, Exploratory Analysis, Experimentation, Analytics, ETL, A/B testing and also what had been always called Business Intelligence.
The General Perception of Data Science
So as of now, the general public thinks of data science as experts and researchers who are focussed on AI and machine learning. But the trend is that the industry is hiring Data Scientists in the role of Analysts. So, there seems to be a misalignment there. And the reason for this misalignment is that indeed, most of the data scientists can potentially work on rather more technical problems but big companies like Netflix, Facebook and Google have so many easier things to accomplish that will help them to improve their products.