Eduardo

Audiences at the time might have been fooled, but 25 year later, everyone knows The Blair Witch Project is a work of fiction. But even without that “true story” gimmick going for it, the movie remains surprisingly potent, both taken on its own and when considered in the context of not just 1999's other horror releases, but the found-footage onslaught that followed in its wake.Grace Byers on Horror and Comedy in The BlackeningMade on a shoestring budget (it eventually became one of the most successful indie films of all…

Production for Season 5 of Neftlix’s “Stranger Things” was announced this week via an Instagram cast photo, which also signaled the absence of a beloved character in the coming season.Eduardo Franco, who played Argyle on “Stranger Things,” confirmed he will not be returning for Season 5. In an interview with Steve Varley, a YouTube film and TV critic, Franco was asked if he would be returning for another season of “Stranger Things” given his absence from the cast photo. Eduardo Franco, left, Charlie…

Posted in: Ablaze Publishing, Comics, Comics Publishers, Current News | Tagged: eduardo risso, Torpedo 1972Ablaze's 2024 solicits and solicitations are up, with a new series Torpedo 1972 by Enrique Sánchez Abulí and Eduardo Risso for MarchAblaze's 2024 solicits and solicitations are up, the first released in full for March 2024 so far. With a new series Torpedo 1972 by Enrique Sánchez Abulí and Eduardo Risso for March followed by Tomorrow The Birds by Osamu Tezuka, and Rompepista, a compelling new coming-of-age…

Learn the basics of Kubernetes, docker, and Intel® AI Analytics Toolkit for building distributed AI AppsImage SourceBuilding and deploying high-performance AI applications can be a challenging task that requires a significant amount of computing resources and expertise. Fortunately, modern technologies such as Kubernetes, Docker, and the Intel® AI Analytics Toolkit make it easier to develop and deploy AI applications optimized for performance and scalability. Moreover, by using cloud services like Amazon Web Services…

Learn how to build custom SageMaker models for Accelerated ML LibrariesImage SourceAWS provides out-of-box machine-learning images for SageMaker, but what happens when you want to deploy your custom inference and training solution?This tutorial will explore a specific implementation of custom ML training and inference that leverages daal4py to optimize XGBoost for intel hardware accelerated performance. This article assumes that you are working utilizing SageMaker models and endpoints.This tutorial is part of a series…

Learn how to implement Intel AI Analytics Toolkit Hardware Accelerated Libraries in SageMakerImage SourceSageMaker is a fully managed machine learning service on the AWS cloud. The motivation behind this platform is to make it easy to build robust machine learning pipelines on top of managed AWS cloud services. Unfortunately, the abstractions that lead to its simplicity make it quite difficult to customize. This article will explain how you can inject your custom training and inference code into a prebuilt SageMaker…

We breakdown the process of building a lambda function for machine-learning API endpointsImage SourceLambda is a powerful serverless managed service on the AWS cloud. At its introduction in 2014, Lambda offered a unique event-driven abstraction that took the hassle of managing compute resources out of the equation. In many ways, it was the first true serverless cloud service.Today, they play a crucial role in stitching together enterprise machine-learning applications due to their nimble ability to perform critical…

Statistics for Machine LearningLearn how to set the optimal threshold for your Machine Learning modelImage by author, using image files from flaticon.comTo produce a binary response, classifiers output a real-valued score that is thresholded. For example, logistic regression outputs a probability (a value between 0.0 and 1.0); and observations with a score equal to or higher than 0.5 produce a positive binary output (many other models use the 0.5 threshold by default).However, using the default 0.5 threshold is…

Statistics for Data ScienceA practical guide on probability calibrationPhoto by Edge2Edge Media on UnsplashSuppose you have a binary classifier and two observations; the model scores them as 0.6 and 0.99, respectively. Is there a higher chance that the sample with the 0.99 score belongs to the positive class? For some models, this is true, but for others it might not.This blog post will dive deeply into probability calibration-an essential tool for every data scientist and machine learning engineer. Probability…

Data Science Cloud InfrastructureA step-by-step guide to deploy a Data Science platform on AWS with open-source softwarePhoto by Chris Ried on UnsplashIn our previous post, we configured Amazon ECR to push a Docker image to AWS and configured an S3 bucket to write the output of our Data Science experiments.In this final post, we’ll show you how to use Ploomber and Soopervisor to create grids of experiments that you can run in parallel on AWS Batch, and how to request resources dynamically (CPUs, RAM, and GPUs).Hi! My name…