Julien HerzeninUnit8 - Big Data & AIHierarchical Forecast Reconciliation with DartsPerform hierarchical reconciliation of forecasts very simply using the Darts open-source library6 min read·Sep 28, 2022--2--2
Julien HerzeninUnit8 - Big Data & AITransfer Learning for Time Series ForecastingWe explore training forecasting models on a large and diverse time series dataset, in order to forecast new series without training.12 min read·May 5, 2022--3--3
Julien HerzeninUnit8 - Big Data & AITime Series Forecasting Using Past and Future External Data with DartsBuilding models that are able to capture external data is often a key aspect of time series forecasting projects. For instance:9 min read·Aug 13, 2021--1--1
Julien HerzeninUnit8 - Big Data & AIBetter, Cheaper, Faster: How Artificial Intelligence Is Changing the Way of Discovering New…Advanced analytics and artificial intelligence (AI) are becoming increasingly important for the chemical industries. In the past, chemical…5 min read·Mar 18, 2021----
Julien HerzeninUnit8 - Big Data & AITraining Forecasting Models on Multiple Time Series with DartsAny quantity varying over time can be represented as a time series: sales numbers, rainfalls, stock prices, CO2 emissions, Internet clicks…11 min read·Feb 15, 2021--9--9
Julien HerzeninUnit8 - Big Data & AIDarts: Time Series Made Easy in PythonTime series simply represent data points over time. They are thus everywhere in nature and in business: temperatures, heartbeats, births…7 min read·Jun 29, 2020--15--15
Julien HerzeninUnit8 - Big Data & AIRouting Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorchEnd-to-end training of a neural network saying where to go next15 min read·Feb 15, 2020--3--3
Julien HerzeninUnit8 - Big Data & AIComputing the Jacobian matrix of a neural network in PythonIn general, a neural network is a multivariate, vector-valued function looking like this:8 min read·Nov 13, 2018--4--4