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In this blog, I outline briefly: - Common Applications of Data Science - Definitions: Machine learning, deep learning, data engineering and data science - Why Java for data science work...
The March Tiobe Index is out. I follow Java (1, up short term), Python (3, continual rise), R (11, steady mid-term) MATLAB (15, down mid-term), SAS (21, steady-ish) and Julia (49, wildly down?) as my ...
I have for some time been aware of companies increasingly submitting code to open source repositories, some quite openly like the hedge funds Man AHL and Two Sigma Investments. Others have jumped on t...
I work in financial services, typically quantitative technology applications. A recent employer of mine was an imagery company, providing satellite and drone-sourced data into finance and insurance. I...
There is a Youtube video on the collapse and causes of the collapse of the Mariana Dam disaster in 2015, specifically using satellite imagery to assess key elements before, during and after the Fundão...
It's been a busy and fun Autumn on the London financial services conference circuit. I've been lucky enough to attend a healthy diversity of events with distinct though intersecting agendas. I've atte...
In the quest for alpha, a growing number of portfolio managers have been exploring the esoteric world of alternative data. Some forms, such as sentiment data based on terabytes of news texts and socia...
Last January I posted 7 Chief Risk Officer Priorities for 2017, based in part on the preceding December’s RiskMinds Conference in Amsterdam, a conference highlighting the worries and interests of Ch...
In December, I attended the Amsterdam RiskMinds Conference, which highlighted current priorities of Chief Risk Officers [CROs] and risk professionals. Having reflected over Christmas sherry and Maria...
Following a survey we did back in 2014, I posted on Finextra about how machine learning technologies are progressing from academia, robotics and medical engineering into financial services. At that t...
Financial engineering is and remains a divisive term. In my Finextra blog last month, I argued that leading institutions were weighed down by legacy. Financial engineering is perhaps an example of suc...
Since 2009, banks have been scrutinized microscopically about their resilience to a wide range of risks. This is hardly surprising, given the post-Global Financial Crisis (GFC) realization of intercon...