Spark RDD filter is an operation that creates a new RDD by selecting the elements from the input RDD that satisfy a given predicate (or condition). The filter operation does not modify the original RDD but creates a new RDD with the filtered elements. In… Read More »Spark RDD filter() with examples rimmalapudi Spark By {Examples}
How to append an element to an array in Python? In Python, you can use the append() method to append an element to the end of an array. However, it’s important to note that Python does not have a built-in array data type, but you… Read More »Python Append Element to Array Malli Spark By {Examples}
The do-it-yourself climate modeling movement is here. Researchers from Northwestern University and Argonne National Laboratory have been launching NVIDIA Jetson-driven edge computing Waggle devices across the globe to collect hyper-local climate information. Waggle is an open source sensor platform for edge computing developed by Argonne.… Read More »DIY Urban AI: Researchers Drive Hyper-Local Climate Modeling Movement Scott Martin – Archives Page 1 | NVIDIA Blog
By Sam Sepah, ML Research Program ManagerAs a Deaf person who learned sign language from my family at an early age, I consider myself lucky. Every day, 33 babies are born with permanent hearing loss in the U.S. (kdhe.ks.gov, deafchildren.org) The majority of deaf children… Read More »A new Kaggle competition to help parents of deaf children learn sign language noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog
When you build and train a PyTorch deep learning model, you can provide the training data in several different ways. Ultimately, a PyTorch model works like a function that takes a PyTorch tensor and returns you another tensor. You have a lot of freedom… Read More »Training a PyTorch Model with DataLoader and Dataset Adrian Tam MachineLearningMastery.com
This post is co-written with Swagata Ashwani, Senior Data Scientist at Boomi. Boomi is an enterprise-level software as a service (SaaS) independent software vendor (ISV) that creates developer enablement tooling for software engineers. These tools integrate via API into Boomi’s core service offering. In… Read More »Boomi uses BYOC on Amazon SageMaker Studio to scale custom Markov chain implementation Dan Ferguson AWS Machine Learning Blog
Posted by Hartmut Neven, VP of Engineering, and Julian Kelly, Director of Quantum Hardware, on behalf of the Google Quantum AI Team Many years from today, scientists will be able to use fault-tolerant quantum computers for large-scale computations with applications across science and industry. These… Read More »Suppressing quantum errors by scaling a surface code logical qubit Google AI Google AI Blog
Posted by John Platt, Distinguished Scientist, Google Research (This is Part 7 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) It’s an incredibly exciting time to be a scientist. With the… Read More »Google Research, 2022 & beyond: Natural sciences Google AI Google AI Blog
After you build, train, and evaluate your machine learning (ML) model to ensure it’s solving the intended business problem proposed, you want to deploy that model to enable decision-making in business operations. Models that support business-critical functions are deployed to a production environment where… Read More »MLOps deployment best practices for real-time inference model serving endpoints with Amazon SageMaker Maira Ladeira Tanke AWS Machine Learning Blog
We’re thrilled to announce an expanded collaboration between AWS and Hugging Face to accelerate the training, fine-tuning, and deployment of large language and vision models used to create generative AI applications. Generative AI applications can perform a variety of tasks, including text summarization, answering… Read More »AWS and Hugging Face collaborate to make generative AI more accessible and cost efficient Amazon Web Services AWS Machine Learning Blog