Self-driving cars with Python and TensorFlow update v0.04-v0.06
Source: (18) Self-driving cars with Python and TensorFlow update v0.04-v0.06 – YouTube
Self-driving cars with Python and TensorFlow update v0.04-v0.06
Source: (18) Self-driving cars with Python and TensorFlow update v0.04-v0.06 – YouTube
Over 5,200 developers share their insights on modern technologies, programming languages, frameworks, and tools of choice for software development.
Source: The State of Developer Ecosystem 2017 – Infographic | JetBrains
One of the saddest and most fascinating things about applied cryptography is how little cryptography we actually use. This is not to say that cryptography isn’t widely used in industry —…
Source: Beyond public key encryption – A Few Thoughts on Cryptographic Engineering
Going directly to a microservices architecture is risky, so consider building a monolithic system first. Split to microservices when, and if, you need it.
Source: MonolithFirst
The UK’s healthcare system is the best out of 11 of the world’s most developed countries, despite having one of the lowest levels of funding.The US health think tank the Commonwealth Fund ranked the UK number one, closely followed by Australia, then the Netherlands, New Zealand, Norway, Switzerland, Sweden, Germany, Canada, France, and the US.1 This is the second time in a row that the UK has come at the top of the ranking, carried out every three years.2The US came last, despite spending by far the most on health: 16.6% of its gross domestic product, nearly double that spent by Australia, at 9% the smallest proportion among the 11 countries, and the UK, at 9.9%. The US spent more …
Source: UK has best health system in developed world, US analysis concludes | The BMJ
The widespread adoption of electronic medical records (EMRs) in healthcare has provided vast new amounts of data for statistical machine learning researchers in their efforts to model and predict patient health status, potentially enabling novel advances in treatment. However, there are significant barriers that must be overcome to extract these insights from EMR data. First, EMR datasets consist of both static and dynamic observations of discrete and continuous-valued variables, many of which may be missing, precluding the application of standard multivariate analysis techniques. Second, clinical populations observed via EMRs and relevant to the study and management of debilitating conditions like sepsis are often heterogeneous; properly accounting for this heterogeneity is critical. Here, we describe a joint probabilistic framework called a composite mixture model that can simultaneously accommodate the wide variety of observations frequently observed in EMR datasets, stratify heterogeneous clinical populations into relevant subgroups, and handle missing observations. We demonstrate the efficacy of our approach by applying our framework to a large-scale sepsis cohort, identifying physiological trends and distinct subgroups of the dataset associated with elevated risk of mortality during hospitalization.
Source: Flexible Analysis of Electronic Medical Record Data with Composite Mixture Models | bioRxiv
Last week, a debate flared up on twitter on working hours in academia and there was the claim that it is irrational to work over 40 hours as output actually goes down. I do not believe this claim. …
Source: No, research does not say that you produce more when working 40 hours per week | Meta Rabbit
Monte Carlo theory, methods and examples
Source: Monte Carlo theory, methods and examples
For someone that has spent the past thirteen years defining himself as a developer of a Linux distribution (whether I really am still a Gentoo Linux developer or not is up for debate I’m sure), having to write a title like this is obviously hard. But from the day I started working on open source software to now I have grown a lot, and I have realized I have been wrong about many things in the past.