Python for Data Science: Advanced and Effective Strategies of Using Python Data Science Theories by Ethan Williams
Requirements: .PDF reader, 895 KB
Overview: Years ago, when the concept of data science was first introduced, it only meant gathering statistical data and cleaning data sets. It was simply just the science of collecting and presenting data. Together with technology evolution, however, paired with the increasing number of information we now have and continuously acquire, data science means so much more. It has now grown into a field of study that includes data analytics, predictive science and analytics, data mining, business intelligence, and machine learning, to name a few. It has now broken free of its confined definition of merely collecting and distributing data, which are very broad concepts and probably why people do not appreciate it today. The set of skills and applications we currently associate with data science is not absolute. Data scientists are free to interpret and use data science to whatever definition and goal they have, making data science an evolutionary concept free for humanity to define.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
http://gestyy.com/w9NcCz
https://rapidgator.net/file/c1c341ef073 … s.pdf.html
