PinnedGianmario SpacagnainTowards Data ScienceEmbedding billions of text documents using Tensorflow Universal Sentence Encoder and Spark EMRHow to run a massive inference of multilingual text sentences using a powerful pre-trained model from the TensorFlow Hub.May 21, 2020May 21, 2020
PinnedGianmario SpacagnainTowards Data ScienceExtracting rich embedding features from COCO pictures using PyTorch and ResNeXt-WSLHow to leverage a powerful pre-trained convolution neural network to extract embedding vectors for pictures.Dec 2, 2020Dec 2, 2020
Gianmario SpacagnainTowards Data ScienceA novel approach to Document Embedding using Partition Averaging on Bag of WordsHow to take a collection of vector embeddings and average them preserving the multi-sense topicality of their manifold structures.Jan 9, 20211Jan 9, 20211
Gianmario SpacagnainTowards Data ScienceManifold clustering in the embedding space using UMAP and GMMHow to reduce the dimensionality of embedding vectors and preserving manifold structures grouped into clusters.Jan 2, 20211Jan 2, 20211
Gianmario SpacagnainVademecum of Practical Data ScienceThe Manager’s Non-Technical Guide to Machine LearningOver the last decade, I have worked with highly talented data science teams from several different industries, including marketing…Nov 30, 2020Nov 30, 2020
Gianmario SpacagnaThe engineering practices and serveless architectures every AI product team should know —…I recently came across an article by Chris Samiullah about How to Deploy Machine Learning Models and I was glad to observe a fair amount…May 7, 2020May 7, 2020
Gianmario SpacagnainVademecum of Practical Data ScienceKnowledge Graphs and CausalityThis piece is part of a series on 2019 trends in the AI and Machine Learning industry. You can read my full thoughts on the past year in…Dec 19, 2019Dec 19, 2019
Gianmario SpacagnainVademecum of Practical Data ScienceTech stack and common tools for developing AIThis piece is part of a series on 2019 trends in the AI and Machine Learning industry. You can read my full thoughts on the past year in —…Dec 17, 2019Dec 17, 2019
Gianmario SpacagnainVademecum of Practical Data ScienceOff-the-shelf Models and AutoMLThe role of automated tools and Data Scientists in modern Machine Learning applicationsDec 16, 2019Dec 16, 2019
Gianmario SpacagnainVademecum of Practical Data ScienceFederated Learning and Differential PrivacyHow to centralize models on decentralized data.Dec 12, 2019Dec 12, 2019
