Making data science accessible – Data Munging
By Dan Kellett, Director of Data Science, Capital One UK Over the past few months my blogs have attempted to demystify some of the techniques used by Data Scientists to b...
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11 IPython Tutorials for Data Science and Machine Learning
This is a collection of 10 great GitHub repositories focusing on IPython, TensorFlow, Theano and related topics, for data scientists. The last one is not on GitHub. . The...
All About Data Science And Big Data
Data Science is the system used to extract insights from data that’s mined from various sources. Using various techniques including predictive modeling, Data Science he...
50 Questions to Test True Data Science Knowledge
This was the subject of a popular discussion recently posted on Quora: 20 questions to detect a fake data scientist. We asked our own data scientist, and he came up with...
Learning Python For Data Science
For those of you who wish to begin learning Python for Data Science, here is a list of various resources that will get you up and running. Included are things like online...
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...
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...
12 Winning Tips to Clinch Your First Win in Data Science Competitions
Tips by 4 DataHack Winners Nalin Pasricha, DataHack Rank 1 Nalin is an investment banker turned data scientist who currently works as an independent consultant. He has pa...
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...
Book: A Guide To Data Science Interviews
About the book You’re convinced that you want to enter into a data science career. You’ve done your research and even started to learn some of the skills needed. But ...