Machine Learning for Time Series Data
Machine LearningModelingTime Seriesposted by Jacey Heuer February 18, 2020
Most organizations generate time-series data. The generation of sales data and financial data are primary components of all organizations’ business. This data is a form of time series data. Time series data consists of any data that carries a temporal component with it. Time series data is data that... Read more
A Practitioner’s Guide To Interrupted Time Series
Modelinginterrupted time seriesTime Seriesposted by Leihua Ye February 7, 2020
In the world of causal inference, Randomized Controlled Trials, RCTs, are considered the gold standard as it rules out any covariate differences before the intervention. However, running an RCT isn’t an option for multiple reasons (e.g., too expensive, invalid assumptions, too long, not ethical, etc.). [Related Article: Discovering 135... Read more
Interpreting the 2020 Puerto Rico Earthquake Swarm with Data Science
Data VisualizationModelinggoogle trendsTime Seriesposted by Juan De Dios Santos January 26, 2020
Using visualizations, maps, time series and Google Trends data science, Puerto Rico earthquakes are described. Since late December 2019 until early January 2020, the southwestern region of the island Puerto Rico has been experiencing a series or swarm of earthquakes, leaving in its wake a trail of destruction and... Read more
Discovering 135 Nights of Sleep with Data, Anomaly Detection, and Time Series
ModelingPythonRStatisticsTools & Languagesanomaly detectionTime Seriesposted by Juan De Dios Santos November 4, 2019
In this article, I look at data from 135 nights of sleep and use anomaly detection and time series data to understand the results. Three things are certain in life: death, taxes, and sleeping. Here, we’ll talk about the latest. Every night*, us humans, after a long day of... Read more
Reading Tea Leaves: Principles of Predictive Analytics and the Path to Time-Series Predictions
Featured PostModelingODSC SpeakerPredictive AnalyticsPredictive ModelingTime Seriesposted by Scott Haines January 31, 2019
Scott is presenting at ODSC East 2019 this May in Boston! Check out his workshop “Real-ish Time Predictive Analytics with Spark Structured Streaming.” With the advent of so many wonderful open-source tools and frameworks for machine learning & deep learning, it can sometimes be difficult to understand just what... Read more
Gain Insight Into the COVID-19 Pandemic with the HPCC Systems Data Lake Platform
Big DataCOVID 19COVID-19 Data SourceData LakeHPCC SystemsPandemic MetricsSARS-Cov-2Modelingposted by ODSC Community Sep 24, 2020
This open-source project features a community contribution cluster which can be made available to ODSC followers. The severe acute...
Need More Efficient ETL? Learn More with the Virtual HPCC Systems Community Day Data Lake Track, October 5th
Featured Postposted by ODSC Community Sep 24, 2020
In this year’s annual Community Day Event, HPCC Systems has opened their virtual event free to all technologists, including...
Explainable and Reproducible Machine Learning Model Development with DALEX and Neptune
Machine Learningposted by ODSC Community Sep 24, 2020
Machine learning model development is hard, especially in the real world. Typically, you need to: understand the business problem,...
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