Experiments

Image Source : APPLE Apple Apple has been reportedly experimenting with language-generating artificial intelligence (AI) technology in the era of ChatGPT. The company has been known to be developing advanced AI capabilities for several years now, and it appears that they have taken a keen interest in natural language processing (NLP) and generation. ALSO READ: …

How can salt help you with experiments?Photo by Manuel Asturias on UnsplashAB testing is one of the most well-known methods to measure the effect of new features’ implementation. The main idea is to split your traffic ( or just the part of it) into two or more groups randomly. However, it’s important to ensure that the split is truly random and unbiased in order to be confident about the results. This is where salts come into play. The purpose of salts is to eliminate sources of bias or predictability that could affect…

Creating a golden streak in the night sky, a SpaceX Falcon 9 rocket soars upward after liftoff from Launch Complex 39A at NASA’s Kennedy Space Center in Florida on March 14, 2023, on the company’s 27th Commercial Resupply Services mission for the agency to the International Space Station. Liftoff was at 8:30 p.m. EDT. The Dragon spacecraft will deliver more than 6,000 pounds of science and research, supplies, and equipment to the crew aboard the space station, including the final two experiments comprising the National…

Start storing models, parameters, pipelines, data and plots changing only one parameterPhoto by Hans Reniers on UnsplashIntroductionThe MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning experiments and for later visualizing the results.In this story, we’ll explain how to use the ATOM library to easily track your models, parameters, pipelines, data and plots. ATOM is an open-source Python package designed to help data scientists…

Understanding the identifying assumptions in experimentsPhoto by takaharu SAWA on UnsplashCausal inference without assumptions is impossible. Every available method requires untestable assumptions to establish causality from observed associations in the data. As such, stating the identifying assumptions and defending them is the most critical aspect of causal inference, yet it is also the most neglected one.In my previous article we kicked off the discussion around this topic by describing what identification is and why…

If you’re looking for recent reasons to be proud of Britain, it would be hard to find a better example than the Recovery series of clinical trials. Conceived in haste in the early days of the pandemic, Recovery (which stands for Randomised Evaluation of Covid-19 Therapy) sought to find drugs to help treat people seriously ill with the novel disease. It brought together epidemiologists, statisticians and health workers to test a range of promising existing drugs at massive scale across the NHS.The secret of Recovery’s…

Cruise, owned by General Motors, is one of the "robotaxi" companies operating in San Francisco. Credit: Shutterstock / paulaah293 Residents of San Francisco and Phoenix have grown used to witnessing something that, a decade ago, would have seemed magical. In some parts of these cities, at certain times, cars drive by with nobody behind the wheel.…

Seth Putterman started out studying the behavior of plasma for national security reasons. Extremely fast hypersonic missiles heat and ionize the surrounding air and form a cloud of charged particles called plasma, which absorbs radio waves and makes it hard for operators on the ground to communicate with the missiles—a problem Putterman was trying to solve. Then it occurred to him: The same plasma physics apply to our sun.The UCLA scientist and his colleagues have now created what Putterman calls “our sun in a jar,” a…

Researchers, in an article published in the journal Leonardo, revealed that after re-examining one of da Vinci’s notebooks, they discovered that the renowned polymath had conducted experiments aimed at proving that gravity is a type of acceleration. Additionally, they found that he had developed a model for the gravitational constant, which was accurate to around 97%.Engineers from Caltech have discovered that Leonardo da Vinci’s understanding of gravity—though not wholly accurate—was centuries ahead of his time.In an…

MLOps in Practice — A deep- dive into ML model registries, model versioning and model lifecycle managementBackgroundIn my previous article:MLOps in Practice — De-constructing an ML Solution Architecture into 10 componentsI talked about the architectural importance of managing model metadata and artifacts generated by ML experiment runs. We all know that the model training process produces many artifacts for further ML model performance tuning, as well as for subsequent ML model deployment. These artifacts include the…