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Machine Learning ethics (2) can you design ethical behaviours?

Machine Learning Ethics

Continuing our series of two posts on the topic of Machine Learning Ethics. In part two of his series on this topic, guest blogger Francesco Corea, moves on to consider moral accountability. How might an accountability, to act in an ethical way, be codified into algorithms or complete machine learning products? Drawing on sources as diverse as the World Economic Forum & MIT Technology Review, Francesco guides us through some.. Read More

The average week of a Data Scientist, hearing from one on what they do

average week of a data scientist

As we come to the end of a month, focussed on Data Science, lets hear about the average week of a Data Scientist. On this blog, we seek to get past the spin & platitudes of much advertising on data science. So, I’m delighted to bring you a new guest blogger, to share¬†his reality. Chris Bose is a Data Scientist, running a small technical PR company, In Press PR. As.. Read More

Getting the most out of your Data Science team, pitfalls to avoid

During our month focussed on Data Science programming languages, my thoughts have turned to getting the most out of your Data Science team. This topic has arisen, because of what I’ve observed in a number of organisations seeking to implement Data Science. As I’ve worked with more clients and talked to other leaders at Data Science events, it has struck me how many fall into common pitfalls. These limit the.. Read More

Data Science programming languages: (2) Resources for Python

As promised in our previous post, for the R programming language, this one will focus on resources for Python. Although R may have a longer heritage within the Statistics and Data Science community, Python could be described as a more complete programming language. In my conversations with clients and Data Science leaders, I’ve also heard a number praise Python as much quicker to learn. So,although both languages are proving popular.. Read More