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Adam Breindel •
Under the Hood with Dask’s Cluster Autoscaling
autoscaling, Dask, dask cluster autoscaling, data science, distributed computing
Matt Rocklin •
Dask, data science, jobs, Jupyter, machine learning, OSS, xarray
Pavithra Eswaramoorthy •
Dask, data science, distributed computing, machine learning, open source software, parallel computing
James Bourbeau •
Dask, dask-sql, data science, machine learning, SQL, XGBoost
Pavithra Eswaramoorthy •
Dask, data science, distributed computing, distributed machine learning, parallel computing, PyData, Python
James Bourbeau •
Dask, data science, Jupyter, machine learning, Python, scaling data science
Christiana Cromer •
Data Processing at Blue Yonder: One Supply Chain at a Time
Dask, data science, Kartothek, machine learning, parquet, Python, SQL, supply chain management
Christiana Cromer •
Design Principles of Distributed Systems: Dask and PySpark
Dask, data science, machine learning, Python, scalable python, Spark, SQL
Adam Breindel •
How is Coiled’s Dask training different?
Dask, Dask dashboards, data science, machine learning, OSS, Pandas, PyData, Python training, scalable python, Tensorflow, XGBoost
Andreas Müller •
The Future of Distributed Machine Learning
Dask, data science, distributed machine learning, machine learning, machine learning tools
Hugo Bowne-Anderson •
Christiana Cromer •
Large Scale Machine Learning for Urban Planning
Dask, data science, Google BigQuery, machine learning, OSS, Prefect, urban planning, Use Cases
Hugo Bowne-Anderson •
Do we really need distributed machine learning?
Dask, data science, distributed machine learning, machine learning, OSS, Python
Christiana Cromer •
David Venturi •
Hugo Bowne-Anderson •
Large-Scale Machine Learning for Urban Planning
Dask, data science, machine learning, urban planning, Use Cases