I like John Sonmez. His no-nonsense attitude and can do approach always manages to put a fire in my belly. I enjoyed his soft skills book. However, they serve different aims. Soft Skills is more of a life manual for software developers. This book focuses on giving the reader a brief overview of the types of…
Read more Book Suggestion: The Complete Software Developer’s Career Guide
This is about a silicon valley startup showing the world that the faced paced startup culture doesn’t translate easily to healthcare. Before we go further I have to clarify. This isn’t a smug post about how I saw it coming whilst others didn’t. I believed the hype. I remember enthusiastically sharing the stories on my…
Probability is one of those fascinating concepts where it seems easy at first but gets confusing when more is revealed. The reason why I feel the need to write about this is because the interpretation of probability is becoming more mainstream as access to data increases. As a result, the internet has become more partisan…
Read more What Every Clinician Should know about Probability
Unless you’ve been living under a rock, you will have heard about machine learning. Bizarrely enough, the attitude to machine learning in medicine is just as interesting as the machine learning theory itself. Ignorance, combined with emotion, data fatigue, and desire for people to ride the bandwagon has fostered an everchanging, overgrown diverse jungle of…
Read more 3 Things Clinicians Should Know about Machine Learning
You can get a lot from the basics when processing data. Of course, machine learning, and advanced analytics is fun, exciting, and stimulating, but there are benefits from simply looking at the data by category. In this quick tutorial, we look at ramen ratings [link] in order to see which brand we want to invest…
Read more Smashing through the Data Basics of Ramen Ratings with Python
A few people have contacted me about machine learning in a time series data set. These short of datasets require a little bit extra in terms of data processing, as you are trying to predict the outcome of a future data point, this means you have to obtain that data point, and classify it. For…
The scandal with Cambridge Analytica, has produced no shortage of claims. Some have even gone as far as to blame the Trump victory and Brexit on it. Clearly, there’s more that will come to light. Only time will tell the full extent of the situation. However, I cannot help feeling that people are running to the…
I’ve been in a little bit of a black hole for the last month. Work in financial tech has really ramped up to another level. One coding binge lasted 14 days straight before a major release. Do I regret it? Not at all! The work is creative, and I’m developing a system that continues to…
As clinicians, the tech world can seem like a daunting place. What’s a framework? Which programming language does what? What type of developer should I hire or work with? I want to build an app, what does that involve? Whilst I love the ideas and work ethic that some of the clinicians I speak to have.…
Read more Clinicians should assess developers like they assess their peers to avoid pain
Whenever we look at successful people, it’s not long before people proclaim that they can mind read, the successful are greedy, this is why they are successful. The term exploitation get’s thrown about at the drop of a hat, and anyone defending them has their mind read successfully. They are greedy themselves. They don’t entertain…
Read more 2 examples of how greedy planning leaves you short-changed
