Reading Time: 7 minutes Note: Jupyter notebooks can be found here. Introduction Last year Kaggle hosted a competition from PetFinder.my that challenged ML practitioners… Read More »PetFinder: a blend of Machine and Deep Learning approaches. CatBoost and MXNet in SageMaker Studio
Reading Time: 2 minutes Introduction I find the domain of interpretable ML incredibly fascinating. Being able to open a black box and understand why… Read More »Whitening a black box: how to interpret a ML model
Reading Time: 7 minutes A quick disclaimer: visualneurons.com, together with this post, is a 2-man work, adding up the efforts of Francesco Pochetti and… Read More »VisualNeurons.com, running Neural Style Transfer on AWS
Reading Time: 5 minutes In this post I wanted to review a list of common approaches to a standard NLP task. The goal I… Read More »Identify toxic online comments with scikit-learn and Gluon NLP
Reading Time: 7 minutes [Link to Jupyter Notebook] “Finding footage of a crime caught on tape is an investigator’s dream. But even with crystal… Read More »Given a picture, would you be able to identify which camera took it?
Reading Time: 2 minutes Statoil/C-CORE Iceberg Classifier Challenge Quoting the Kaggle website: “Drifting icebergs present threats to navigation and activities in areas such as… Read More »Ship or iceberg, can you decide from space?
Reading Time: < 1 minute All posts in the series: Linear Regression Logistic Regression Neural Networks The Bias v.s. Variance Tradeoff Support Vector Machines K-means… Read More »Recommendation Engines
Reading Time: < 1 minute All posts in the series: Linear Regression Logistic Regression Neural Networks The Bias v.s. Variance Tradeoff Support Vector Machines K-means… Read More »Principal Component Analysis
Reading Time: 18 minutes All posts in the series: Linear Regression Logistic Regression Neural Networks The Bias v.s. Variance Tradeoff Support Vector Machines K-means… Read More »Bridging Recommender Systems and Dimensionality Reduction
Reading Time: < 1 minute All posts in the series: Linear Regression Logistic Regression Neural Networks The Bias v.s. Variance Tradeoff Support Vector Machines K-means… Read More »K-means Clustering