The Age of the Customer: The Key to the 360° View
The evolution of modern technology in the past 10 years is astounding: our mobile phones are becoming smarter by the second, our online behavior is revealing more about h...
Home » You searched for Data Science Central
Search Results for: Data Science Central
Book: Machine Learning with R – Second Edition
Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential...
Implement an ARIMA model using statsmodels (Python)
In this article was written by Michael Grogan. Michael is a data scientist and statistician, with a profound passion for statistics and programming. In a previous tutor...
Spectral Attenuation Monitor
About a month ago in a blog, I introduced what I described as a “spectral attenuation monitor.” At the time I only had an image from MS Works that used simulated da...
State-of-the-Art Machine Learning Automation with HDT
In this article, we discuss a general machine learning technique to make predictions or score transnational data, applicable to very big, streaming data. This hybrid tech...
State-of-the-Art Machine Learning Automation with HDT
The technique presented here blends non-standard, robust versions of decision trees and regression. It has been successfully used in black-box ML implementations. In this...
Digital Transformation and high-tech Robo-Advisor – do you need one?
How many times you have listened to the advice of your friend/colleague or someone you know, to invest in stock market? Many people have gained and lost their fortune wit...
Pandasql: Make python speak SQL
This article was written by Yhat. Introduction One of my favorite things about Python is that users get the benefit of observing the R community and then emulating the ...
18 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
Building a Deep Learning Model for Process Optimisation
1. Abstract The objective of this paper is to present the process of building a Deep Learning Model for optimising the output for a Production Process from a...