DataViZ, Data Science and Machine Learning White Papers – Part 4
Here are some white papers about Tamr, Lavastorm, Teradata, Rapidminer, Looker, Thingworx, and DataRobot : Tamr Three Problems that Sabotage Analytics and How to Fix Them...
Home » You searched for o
Search Results for: o
What exactly is Data Science?
Reading some recent blogs, I sense a level of angst among Data Science practitioners about the nature of their field. What exactly IS Data Science – a question that...
Marketing & Advertising: Stats and Data Analysis
With marketing and advertising gaining more space on the internet, big data analytics are playing a prominent role in following the trends on the market and providing use...
Making data science accessible – HDFS
By Dan Kellett, Director of Data Science, Capital One UK Disclaimer: This is my attempt to explain some of the ‘Big Data’ concepts using basic analogies. There are in...
Fake VIPs and CRM management
One of the issues I keep running into when dealing with CRM and retention is that of the fake VIPs. What is a VIP? Depending on the vertical VIPs have different names: wh...
8 Deep Data Science Articles
Deep data science is a branch of data science that has little if any overlap with closely related fields such as machine learning, computer science, operations research,...
Handling missing data with MICE package
This is a quick, short and concise tutorial on how to impute missing data. Previously, we have published an extensive tutorial on imputing missing values with MICE packa...
Deep Learning Libraries by Language
Source for picture: click here Python Theano is a python library for defining and evaluating mathematical expressions with numerical arrays. Keras is a minimalist, hig...
Data Scientist Skill Set
1 Background Data science is first and foremost a talent-based discipline and capability. Platforms, tools and IT infrastructure play an important but s...
Static & DYNAMICAL Machine Learning – What is the Difference?
In an earlier blog, “Need for DYNAMICAL Machine Learning: Bayesian exact recursive estimation”, I introduced the need for Dynamical ML as we now enter the “Walk�...