Python-bloggers

Machine Learning is transforming how we design drugs, model diseases, develop treatments, and conduct clinical trials. We recently collaborated with IIMCB to carry out augmented RNA-Ligand binding prediction with machine learning. Learn more about our work in this blog post. These advancements are helping researchers and healthcare professionals make smarter ...

Probabilistic Forecasting with nnetsauce (using Density Estimation, Bayesian inference, Conformal prediction and Vine copulas): nnetsauce presentation at sktime meetup (2024-07-26)

In pharmaceutical research, the exploration of RNA-ligand interactions is a significant challenge, marking a stark contrast to the more developed understanding of protein-ligand interactions. Our AI model reduces the number of missed protein crystals by over 30% compared to state-of-the-art benchmarks. Learn more about Crystal Clear Vision.  This complexity arises from ...

Understanding how users interact with your application in data analytics is crucial for continuous improvement and user satisfaction. {shiny.telemetry} is a groundbreaking tool that lets you do just that. shiny.telemetry offers a nuanced approach to user engagement, adoption, and impact assessment. Learn more in this blog post.  Whether ...

Forecasting uncertainty: sequential split conformal prediction + Block bootstrap (web app)

Cloudflare is a service that aims improve the performance and security of websites. It operates as a content delivery network (CDN) to ensure faster load times and consequently better user experience. However, it also protects against online threats by filtering “malicious” traffic. Web scraping requests are often deemed to be ...

Are you still conducting runtime benchmarks in R through manual calls to `Sys.time()`? We don’t judge, but there’s a way more powerful and automated way to do the same – and more – with fewer lines of code. Meet R Microbenchmark – a package that compares the execution of your ...

As a trainer and content creator, I regularly generate fake datasets for exercises. This task can be more challenging than it sounds. Creating variables that follow a specific pattern or distribution was difficult with earlier random data distribution tools. Additionally, crafting a dataset that “feels” real for a given industry, ...

The word “universe” can mean many different things. In modern-day entertainment, we are conditioned to think of it as related movies or media tied together by the tried-and-true formula of post-credits scenes and character crossovers. Speaking of entertainment, read more about how we helped a Fortune 500 movie studio with their ...

learningmachine for Python: Machine Learning with explanations and uncertainty quantification