The dawn of Scientific Computing

Nowadays Scientific Computing is the new buzzword in the Computing Industry! However, this was not the case a few years ago. It all started in the late 70’s and early 1980’s when people got more familiar with the personal computer. At that time scientists were understanding the structure of the human brain and found it to be very fascinating. Thus, a few Scientists tried to apply this model to the traditional Computing problems and found out that this approach worked very well. This is how the concepts of Machine Learning and Deep Learning were born. The 90’s especially was one of the best time for anything related to Deep Learning. It was at this period that many algorithms and deep learning models like Recurrent Neural Networks, Artificial Neural Networks, Self Organizing Maps, Boltzmann machines, Auto Encoders etc were born.

believe it or not, Many models of Deep Learning have been inspired by Mother nature!

from 2000 to 2013 many small but valuable innovations were done, but Scientific Computing rose to a lot of fame due to the versatile Python Programming language. This language helped many scientists to develop amazing models.

In my next blog I will be discussing about why is Machine Learning so important



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