This post discusses the benefits of full-stack data science generalists over narrow functional specialists. The later will help you execute and bring process...
Data science, also known as data-driven decision, is an interdisciplinery field about scientific methods, process and systems to extract knowledge from data in various forms, and take descision based on this knowledge. A data scientist should not only be evaluated only on his/her knowledge on mahine learning, but he/she should also have good expertise on statistics. I will try to start from very basics of data science and then slowly move to expert level. So let’s get started.
In the second part of our "A Mathless Guide to Neural Networks," we’ll take a look at why high-quality, labeled data is so important, where it comes from,..
As Python has gained a lot of traction in the recent years in Data Science industry, I wanted to outline some of its most useful libraries for data scientists and engineers, based on recent…