Abstract:

If everything else is equal, data is the basis. The amount of data is growing at an unprecedented pace as a result of developments in social media, mobile technology, web technologies, and sensing devices. The amount of information we often transmit, for instance, is quite stimulating. Every day, 2.5 quintillion bytes worth of data are created. The quantity of data keeps growing rapidly. In 2020, every second of fresh data creation will roughly equal 1.7 super bytes. Big data's total storage capacity is expected to grow from its current 4.4 Zetta bytes to about 44 Zetta bytes (or 44 trillion gigabytes) by 2020. This Bigdata promises a substantial rise in corporate value in a wide range of sectors, including the healthcare industry, monetary services, medical care, transportation, and online advertising. However, conventional methods are having difficulty keeping up with such a massive data set. In this research, we focus on deep learning difficulties in big data analytics and cutting-edge machine learning techniques for large data.

Description:

Data, Science, Big Data, Social, Organization