Data is everywhere !
From hardware and sensor logs to spaceship's records, social media to medical data, spreadsheets to huge databases to the very page you are reading now, more of our world is quantified or quantifiable than ever before. It is becomming so cheap to collect and store data that the question of whether it is "worth it" to store the information has become an afterthought. 2013, research group IMC estimated that there are over 1.45 trillion gigabytes of data stored worldwide, and that number will more than quadruple by 2020.
It's really hard to identify and do these things.
There are two main problems to make on any data project that the gap between having a problem and knowing how you could address it with data, and the gap between knowing what you want to do and knowing how to do it the right way. Which solutions or approaches you need to use ? machine learning techniques or big data solutions or new data science algorithms.... Most data projects fail on either the first one or the second.
INOVAMIND WAS FOUNDED IN 2016 TO ADDRESS THIS
It was really good experience working with them for data science training. I learned many things within a short time. You can trust their knowledge and experience !
We worked with inovamind for a predictive analytics project. I can strongly recommend them for their good ethic and skill set. Thank you!
Such a great experience for big data processing
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