Have you ever heard about Data Science – Cryptocurrency University program? A uni program with a strong focus on the application of Artificial Intelligence and Machine Learning algorithms for a better cryptocurrency trading system? Probably you haven’t because both fields are relevant new to the broader audience. One more reason why probably we won’t see such […]
Right before the Academia Datathon we interviewed one of the university mentors and an initiator of the University Data Science Challenge, Angel Marchev who is an Associate Professor at University of National and World Economy. Prof. Marchev has Ph.D. in applications of computer simulations in business and he pursued a career as a Bank analyst […]
For the last 4 years Data Sciency Society and its Data Superheroes have been building an international digital community. The Society code is to build a strong core of members digitally, around a body of knowledge in Data Science and of course – to have fun! This time the community is looking for its Wonder […]
If you are participating in the Academia Datathon 2018, or just wanna be a crypto superhero forecasting cryptocurrency prices, this article was made just for you! It is a quick reference to tons of materials to get you started on the topic.
As asked by the organizers of the Datathon here are some suggestions about possible tech stack I found useful for time series analysis, which can be applied for the Cryptocurrency Challenge like libraries/articles/blogs about Moving Average and its variations, Kalman Filter, Fourier and Hilbert Decomposition, LSTM Recurrent Neural Network and others.
In this article, you will learn about the technology that makes these applications tick, and you will learn how to develop natural language processing software of your own.