modeling

Simulated mass loss of the Greenland ice sheet from 1990 until 2090, expressed as a sea-level contribution, under different conditions:RCP8.5 (red; worst-case scenario, unabated warming), RCP4.5 (green; intermediate scenario, possibly achievable under current conditions), and GeoMIP G4 (blue; RCP4.5 plus the injection of 5 million metric tons of sulfur dioxide per year into the stratosphere during 2020–2070). Credit: Ralf Greve…

Python and R in data science: Unveiling strengths and trade-offs for predictive modeling Python and R are two of the most popular programming languages for data science and predictive modeling. They both have their advantages and disadvantages, depending on the context and the objectives of the project. Here is a brief comparison of Python and R for predictive modeling: Community and resources: R has a larger and more active community of data scientists and statisticians, who contribute to a vast number of…

Using a better modeling framework, with data collected from Mississippi Delta marshes, scientists are able to improve the predictions of methane and other greenhouse gas emissions. Credit: Matthew Berens/ORNL, U.S Dept. of Energy Scientists at Oak Ridge National Laboratory are using a new modeling framework in conjunction with data collected from marshes in the Mississippi Delta to improve predictions of climate-warming methane…

The Aletsch glacier in 2009, in Switzerland. Credit: UNIL—Guillaume Jouvet Even if global warming were to stop completely, the volume of ice in the European Alps would fall by 34% by 2050. If the trend observed over the last 20 years continues at the same rate, however, almost half the volume of ice will be lost as has been demonstrated by scientists from the University of Lausanne (UNIL, Switzerland) in a new international…

Concepts, case studies, step-by-step implementationsContinue reading on Towards Data Science » Concepts, case studies, step-by-step implementationsContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the…

Practical Guide to Topic Modeling with Latent Dirichlet Allocation (LDA)Get better results in up to 99% less training timeLatent Dirichlet Allocation (LDA for short) is a mixed-membership (“soft clustering”) model that’s classically used to infer what a document is talking about. When you read this article, you can easily infer that it’s about machine learning, data science, topic modeling, etc. But when you have a million documents, you can’t possibly read and label each one manually to extract the patterns and trends.…

TikTok powerhouse ByteDance has made an astonishing breakthrough with Image Dream, the first-of-its-kind AI capable of generating 3D models. By using machine learning, this cutting-edge technology turns images into multi-view diffusions. It represents an important advance in changing how one views and creates three-dimensional graphics from just a single image information. The ImageDream Advantage In contrast with other AI-driven 3D model generation engines, ImageDream establishes a unique niche for itself in that it…

Hands-On Approach to Uplift with Tree-Based ModelsContinue reading on Towards Data Science » Hands-On Approach to Uplift with Tree-Based ModelsContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of the content…

Scientists have employed artificial intelligence to analyze over a billion waves spanning 700 years, leading to a groundbreaking formula for predicting rogue waves. This study, which transforms vast ocean data into an equation for rogue wave probability, challenges previous theories and offers significant implications for maritime safety. The research’s accessibility and AI’s role in enhancing human understanding mark a significant advancement in the field. Credit: SciTechDaily.comUtilizing seven centuries of oceanic wave…

And how I placed top 10% in Europe’s largest machine learning competition with them!Image generated by DALL·E 3, depicting a stacked landscapeWe all know that ensemble models outperform any singular model at predictive modeling. You’ve probably heard all about Bagging and Boosting as common ensemble methods, with Random Forests and Gradient Boosting Machines as respective examples.But what about ensembling different models together under a separate higher-level model? This is where stacked ensembles comes in. This article…