A new major release of lime has landed on CRAN. lime is an R port of the Python library of the same name by Marco Ribeiro that allows the user to pry open black box machine learning models and explain their outcomes on a per-observation basis
If you don’t have local access to a modern NVIDIA GPU, your best bet is typically to run GPU intensive training jobs in the cloud. Paperspace is a cloud service that provides access to a fully preconfigured Ubuntu 16.04 desktop environment equipped with a GPU.
In this tutorial we will build a deep learning model to classify words. We will use the Speech Commands dataset which consists of 65,000 one-second audio files of people saying 30 different words.
In this post we will examine making time series predictions using the sunspots dataset that ships with base R. Sunspots are dark spots on the sun, associated with lower temperature. Our post will focus on both how to apply deep learning to time series forecasting, and how to properly apply cross validation in this domain.
I had the privilege of joining the Dean’s Speaker Series at UNC Kenan-Flagler Business School, hosted in partnership with the Kenan Institute of Private Enterprise. My sincere thanks to Dean Mary Margaret Frank, the Kenan Institute team and all who made this event possible. It was an honor to share […] The post Reflecting on
Reflecting on responsible innovation: A defining moment Read More »
If you’re building AI solutions today, you already know the stakes: faster decisions, trusted results and the ability to scale without blowing up your compute budget. What you may not always see is what’s happening under the hood to make that possible. That’s where strong technology partnerships matter. For more […] The post 4 practical
4 practical ways SAS and Intel help teams build and scale AI Read More »
This is the fourth in a five-part blog post series that delves into modernizing marketing strategies through the integration of advanced marketing platforms. I had the pleasure of interviewing Shaun Memon of Munvo for this series, where we discuss a wide range of topics, from fragmented MarTech stacks, first-party data […] The post Building modern
En 2024, près d’une entreprise française sur deux a subi une cyberattaque majeure, et dans 60 % des cas, tout a commencé par un simple mail ou appel frauduleux. Derrière chaque clic, chaque voix clonée, l’ingénierie sociale exploite nos failles humaines pour contourner les défenses les plus sophistiquées. Phishing, deepfake, usurpation […] The post Ingénierie sociale
Ingénierie sociale : menace omniprésente et maillon faible de la lutte anti-fraude Read More »
At SAS, we use and contribute to a wide range of open source projects. This series – SAS Contributes – highlights how our teams give back to the open source community. In this installment, we’re focusing on OpenSearch. If you’ve ever sifted through thousands of system logs or product reviews to […] The post SAS contributes:
Discover how to establish a foundation for success with AI in insurance. The post The AI paradox: A path to success – and failure appeared first on SAS Blogs.
