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2018 Europe Spark Ai Summit
文档数:
78
matei zaharia
accelerating production machine learning
using deep learning in production pipelines to predict consumers interest
deep reality simulation for automated poacher detection
mlflow infrastructure for a complete machine learning life cycle
the future of media and retail measurement how nielsen evolved into an aifirst company
apache spark for rdbms practitioners how i learned to stop worrying and love to scale
sparkits indexing for largescale time series data on spark
an ai use case market event impact determination via sentiment and emotion analysis
apache spark a case study in production machine learning with adam davidson and anna bladzich
transforming devons data pipeline with an open source data hubbuilt on databricks
the evolution of the fashion retail industry in the age of ai
avoiding log data overload in a cicd system streaming 190 billion events and batch processing 40 tbhour
reforming traditional machine learning algorithms spatiotemporal analytics capability for big data
distributed deep learning
timeseries anomaly detection in plaintext using apache spark
predicting social engagement of social images
cardioai automated medical diagnosis from mri and patient data using deep learning
the future of healthcare
apache spark on k8s and hdfs security
an introduction to higher order functions in spark sql
apache spark
great privacy optimizing ml and ai under gdpr
abris avro bridge for apache spark
lessons learned developing and managing high volume apache spark pipelines in production
extending structured streaming made easy
spark schema for free
cicd for machine learning
from allatonce onceaday to alittleeachtime allthetime
unafraid of change optimizing etl ml and ai in fastpaced environments
flowspecapache spark pipelines in production
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