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2020 Spark Summit North America
文档数:
66
scaling up ai research to production with pytorch and mlflow
the revolution will be streamed
powering interactive bi analytics with presto and delta lake
patterns and antipatterns for memorializing data science project artifacts
deploying apache spark jobs on kubernetes with helm and spark operator
advanced natural language processing with apache spark nlp
building a realtime feature store at ifood
performant streaming in production preventing common pitfalls when productionizing streaming jobs
scalable acceleration of xgboost training on apache spark gpu clusters
scalable automl for time series forecasting using ray
using bayesian generative models with apache spark to solve entity resolution problems dedup merging uniqueness at scale
building a streaming microservice architecture with apache spark structured streaming and friends
fine tuning and enhancing performance of apache spark jobs
user defined aggregation in apache spark a love story
geospatial analytics at scale analyzing human movement patterns during a pandemic
deploy and serve model from azure databricks onto azure machine learning
building the petcare data platform using delta lake and kyte our spark etl pipeline
lessons learned from modernizing uscis data analytics platform
enabling scalable data science pipeline with mlflow at thermo fisher scientific
democratizing pyspark for mobile game publishing
data science across data sources with apache arrow
designing the next generation of data pipelines at zillow with apache spark
bring satellite and drone imagery into your data science workflows
the apache spark file format ecosystem
automated and explainable deep learning for clinical language understanding at roche
an approach to data quality for netflix personalization systems
chromatic sparse learning
scaling data and ml with apache spark and feast
from hdfs to s3 migrate pinterest apache spark clusters
resourceefficient deep learning model selection on apache spark
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