Published inTDS ArchiveNew-Generation Marketing Mix Modelling with MeridianA quick introduction to the latest MMM framework from Google.Feb 2A response icon8Feb 2A response icon8
Published inTDS ArchiveBuild your Personal Assistant with Agents and ToolsLearn how to build your personal assistant using LangChain agents and Gemini by grounding it in external sourcesNov 24, 2024A response icon6Nov 24, 2024A response icon6
Published inTDS ArchiveNo GPU, No Party : Fine-Tune BERT for Sentiment Analysis with Vertex AI Custom jobsSpeed up the training process with serverless jobsJun 3, 2024Jun 3, 2024
Published inTDS ArchiveMachine Learning on GCP: From Notebooks to PipelinesML in production is not about notebooks but about pipelinesMay 11, 2024A response icon2May 11, 2024A response icon2
Published inTDS ArchiveA Complete Guide to Write your own TransformersAn end-to-end implementation of a Pytorch Transformer, in which we will cover key concepts such as self-attention, encoders, decoders, and…Feb 24, 2024A response icon11Feb 24, 2024A response icon11
Published inTDS ArchiveBayesian Basketball : were the Toronto Raptors really the best team during NBA 2019 season ?Let’s go back in time and see if we can end up with a different winner for the NBA 2019 title. How ? By using Bayesian simulations.Aug 21, 2019Aug 21, 2019
Published inTDS ArchiveTime Series in Python — Part 3: Forecasting taxi trips with LSTMsIn this article, we will forecast the number of FHV (For Hire Vehicles, like Uber) in New York using LSTMs. We will learn how to add…Feb 25, 2019A response icon13Feb 25, 2019A response icon13
Published inTDS ArchiveTime Series in Python — Part 2: Dealing with seasonal dataIn the first part, you learned about trends and seasonality, smoothing models and ARIMA processes. In this part, you’ll learn how to deal…Feb 15, 2019A response icon4Feb 15, 2019A response icon4
Published inTDS ArchiveTime Series in Python — Exponential Smoothing and ARIMA processesTL;DR: In this article you’ll learn the basics steps to performing time-series analysis and concepts like trend, stationarity, moving…Feb 9, 2019A response icon18Feb 9, 2019A response icon18
Published inTDS ArchiveAttention Seq2Seq with PyTorch: learning to invert a sequenceTL;DR: In this article you’ll learn how to implement sequence-to-sequence models with and without attention on a simple case: inverting a…Nov 29, 2018A response icon3Nov 29, 2018A response icon3
