This post is long overdue. I actually left financial tech 3 months ago, but I've been caught up in a number of projects. The more interesting your life gets, the less time I have to blog. I'm trying to find the time by cutting down on Netflix time. Reading is now done entirely on the … Continue reading I Left Financial Tech… Here’s what I do Now
machine learning
Thrown a Party? You Already Intuitively Understand Overfitting in Machine Learning
I'm currently in South Africa attending a wedding. Whilst the South Africans are complaining about the weather as it's their winter here, I'm walking around in shorts, sandals, and short sleeved summer shirts. Still, this doesn't stop me packing my spare Macbook as I have deadlines. Imperial College London is teaching a computational medicine degree, … Continue reading Thrown a Party? You Already Intuitively Understand Overfitting in Machine Learning
Machine Learning: Predicting With Man-Made Rules
So I've started taking a different route to work due to the fact that I am working at a different place. I've got to say, different lines have a different feel to them. I guess different districts house different types of people so it's not much of a revelation. I grew up in a small … Continue reading Machine Learning: Predicting With Man-Made Rules
How my clinical experience guided my machine learning project
I've now experienced machine learning in industry and academia, and my clinical training just didn't let me look past the pitfalls of applying machine learning in a system. I experienced machine learning in an academic and industrial setting. I cannot deny, the passion and dedication for machine learning are alive and well. There is no … Continue reading How my clinical experience guided my machine learning project
4 simple tricks to beat machine learning and AI
Unless you’ve been living under a rock, you would have heard from TV, film, books, or the news that machine learning is making major advances and will be taking over many jobs in the not so distant future. The conversations I have with people who understand machine learning varies, however, people who don’t mainly fall … Continue reading 4 simple tricks to beat machine learning and AI
3 differences: NHS to working in Fintech
A week has gone by where I handed in my notice in A and E and started working in financial tech writing code and applying machine learning algorithms to data, as well as developing the web framework where users can apply for loans. So as many people speculate, yes, it is a lot different. Here's … Continue reading 3 differences: NHS to working in Fintech
I’m now in financial tech! So what do I do?
I handed in my notice at the A and E where I work. I have taken a full-time position writing code for the financial tech company ASF. I've swapped the nights and weekends for Monday to Friday. So what am I actually doing? First of all, it's important to define financial tech. It's different from banking. … Continue reading I’m now in financial tech! So what do I do?
What is AI doing to the concept of intelligence?
Disclaimer: As AI is changing rapidly and we are still finding novel applications at an alarming rate it’s worth noting the date in which this was written. Facts and opinions change quickly in this field at this time. Things are progressing. I find myself putting my math and coding to practice with my role at … Continue reading What is AI doing to the concept of intelligence?
4 things clinicians should know about machine learning
Machine learning is changing the world, there is no doubt about this. Despite the fact that the NHS is famous for being backward in its tech, it's only a matter of time before it adopts machine learning. The reception machine learning gets from clinicians is mixed. There is a palpable fear amongst some of them. From time … Continue reading 4 things clinicians should know about machine learning
3 ways you can beat machine learning
Machine learning is coming to medicine. Even though I am a fan of computing even I have been shocked at the speed of the advancement of machine learning in medicine. We can discuss the ethics, we can proclaim that it’s not fair, however, this will not change the fact that machine learning is coming. A … Continue reading 3 ways you can beat machine learning
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