Nikolay ManchevinTowards Data ScienceIncreasing model velocity for complex models by leveraging hybrid pipelines, parallelization and…How to choose the right tools to tackle complex modelsJan 13, 2022
Francesco CasalegnoinTowards Data ScienceGraph Convolutional NetworksGraph applications are ubiquitous, learn how to use Machine Learning with them!Jan 22, 20213
Arjun BalasubramanianinTowards Data ScienceSpeed up EfficientNet training on AWS by up to 30% with SageMaker Distributed Data Parallel LibraryA deep dive on how SageMaker Distributed Data Parallel helps speed up EfficientNet trainingJan 12, 2022Jan 12, 2022
Nir Ben-ZviinTowards Data ScienceA 2021-Ready Deep Learning Hardware GuideI discuss hardware for deep learning, assuming the reader wants to build one but isn’t too well versed in the world of computer hardware.Nov 15, 20207Nov 15, 20207
Christopher ArizainTowards Data ScienceUsing Higher-Order Containers to Efficiently Process 7,163 (or More) DataFramesIntroducing the StaticFrame Bus, Batch, Quilt, and YarnJan 6, 2022Jan 6, 2022
Nikolay ManchevinTowards Data ScienceIncreasing model velocity for complex models by leveraging hybrid pipelines, parallelization and…How to choose the right tools to tackle complex modelsJan 13, 2022
Francesco CasalegnoinTowards Data ScienceGraph Convolutional NetworksGraph applications are ubiquitous, learn how to use Machine Learning with them!Jan 22, 20213
Arjun BalasubramanianinTowards Data ScienceSpeed up EfficientNet training on AWS by up to 30% with SageMaker Distributed Data Parallel LibraryA deep dive on how SageMaker Distributed Data Parallel helps speed up EfficientNet trainingJan 12, 2022
Nir Ben-ZviinTowards Data ScienceA 2021-Ready Deep Learning Hardware GuideI discuss hardware for deep learning, assuming the reader wants to build one but isn’t too well versed in the world of computer hardware.Nov 15, 20207
Christopher ArizainTowards Data ScienceUsing Higher-Order Containers to Efficiently Process 7,163 (or More) DataFramesIntroducing the StaticFrame Bus, Batch, Quilt, and YarnJan 6, 2022
John Mark AgostainTowards Data ScienceThe PCA Trick with Time-SeriesPCA can be used to reject cyclic time-series behavior, and this works for anomaly detection.Dec 21, 20206
Janos TolgyesiinTowards Data ScienceDeploy an object detector model at the edge on AWS PanoramaLearn how to deploy state-of-the-art computer vision models on AWS Panorama, a powerful edge computing device.Nov 26, 2021
Luke ThorpinTowards Data ScienceApache Spark — Multi-part Series: Spark ArchitectureSpark Architecture was one of the toughest elements to grasp when initially learning about Spark. I think one of the main reasons is that…Mar 14, 20211
