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Posted on July 21, 2017 at 1:30am 0 Comments 0 Likes
Capital One UK’s Data Science team has been focused on move from proprietary (paid-for) software to open source for some time now.
There are several key benefits to making this change. Open source software is prevalent in academia which makes it much easier for our new starters to hit the ground running, building models and analysing data on day one with the company (the switch has also been a terrific development opportunity for my team to learn new skills). Our team now has greater…
ContinuePosted on August 9, 2016 at 1:00am 0 Comments 0 Likes
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 build models or process large amounts of data. For all the flashy techniques and algorithms this is not where Data Scientists spend 90% of their time. The hard yards of any analysis lies in…
ContinuePosted on July 21, 2016 at 2:00am 0 Comments 0 Likes
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 inevitably nuances my analogy misses.
What is HDFS?
When people talk about ‘Hadoop’ they are usually referring to either the efficient storing or processing of large amounts of data. MapReduce is a framework for efficient processing using a parallel, distributed algorithm…
ContinuePosted on July 5, 2016 at 10:47am 0 Comments 0 Likes
By Dan Kellett, Director of Data Science, Capital One UK
What are Neural Networks?
Neural Networks are a family of Machine Learning techniques modelled on the human brain. Being able to extract hidden patterns within data is a key ability for any Data Scientist and Neural Network approaches may be especially useful for extracting…
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