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Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
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Presentations
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(2)Data Con LA 2018 - A Tale of DL Frameworks: TensorFlow, Keras, & Deep Learning by Jules Damji
Data Con LA
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6 years ago
Introduction to MLflow
Databricks
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6 years ago
Personal Information
Organization / Workplace
San Francisco Bay Area, California United States
Industry
Technology / Software / Internet
Website
databricks.com
About
Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Tags
apache spark
sparkaisummit
spark + ai summit
*
spark summit
ai
*
big data
*
machine learning
*
databricks
databricks *
2019
*
apache spark
*
spark + ai summit
* apache spark
*
machine learning
big data
spark
data science
mlflow
apache spark 2.0
spark sql
dataframes
structured streaming
spark streaming
tensorflow
model management
hadoop
deep learning pipelines
python
ai
deep learning
spark summit east 2017
pyspark
databricks cloud
delta lake
strata san jose
sparkr
keras
bay area apache spark meetup
apache spark
*
spark performance tuning
unified analytics platform
apache spark 2.3
machine learning pipelines
cloud
graphframes
mllib
tungsten
r
data pipeline
datasets
pandas
etl
spark summit east 2016
jit-dw
distributed data
*
artificial neural networks
catalyst
neural networks
streaming
data warehousing
performance
databricks delta
kubernetes and spark
advanced analytics
ml model tracking
data
scale
scala
r on spark
machine learning model management
lakehouse
linkedin
open source
apachespark
spark 2.0
apache spark 2.2
spark meetup
pytorch
spark + ai summit 2020
sparkasisummit
ml pipelines
ml model experimentaiton
ml model management
aws
automate
sql
azure
hdfs
devops
dataframe
koalas
mlflow model serving
spark clusters
gpu acceleration
tensorframes
database
vida ha
spark ml mllib
continuous applications
rdds
graph algorithms
mlops
real-time
quick start
scikit-learn
change data capture
schema on read
spark summit 2016
deploying spark
best practices
use case
bogota spark meetup
model training
data lake
adaptive query execution
dynamic partition prunning
amplab
apache spark 2.0 structured streaming databricks
advanced analytics online analytics
predictionio
tensorframes tensorflow
sparkr r
r statistics
sql join hints
pandas udf
webinar
motif finding
graph queries
motif
project zen
cdc
mlflow integration
data source api
data visualization
ml
jvm
model deployment
debugging
model serving
testing
groupbykey
errors
holden karau
reducebykey
serialization
nvidia
shuffling
rapids
mlflow deployment
sparkcamp
nvidia rapids
sql analytics
pycaret
automl
torchserv
torchscript
free training
generalized linear model
matei zaharia
community edition
just-in-time data warehousing
autologging
apache spark 1.6
dataset
spark use cases
healthcare
data mining
sketch
sampling
strata new york
stratified sampling
count-min sketch
frequent items
bloom filter
hyperloglog
schema management
parviz deyhim
apache spark 1.5
patrick wendell
redisai
mlconf seattle
strata london
data agility
data abstraction
dalispark views
apache hive
presto
data access
dalispark
cost based optimizer
meaning
microsoft
onnx
pydatamiami
datat science
ml end-to-end lifecycle
ml model experimentation
model tracking
rstudio
sparksaturday
real time
distributed training
horovod
mpi
customer experience
spark mllib
uber
distributed deep learning
democratization
workshop
ml stack
factory
building
scalable
forecast
dynamic partition pruning
cosmos db
knowledge graph
fastai
deep anomaly detection
streaming analytics
model reasoning
kubeflow
rest
backend data quality
astronomical data processing
lsst scale
spark operator
vectorized
hyperparameter
loss prevention
spark core
acid orc
apps
facebook
maps
nubank
data analytics
odsc
dapply
spark-sklearn
distributed computing
gpu
stanford
multicore
parallelization
weld
r packages
rlang
distributed
sparksql
etl pipeline
cloud data
womenintech
executive
leadership development
equality
women
spark production
production
streaming applications
advanced streaming analytics
cloud storage
storage
databricks unified platform
spark+aisummit
structures
microsoft azure
security
salesforce
wibd
real-time model scoring
threat detection
cybersecurity
databricks unified analytics platform
continuous streaming
databricks runtime 4.0
model registry
ci/cd
women in big data
women in apache spark
graph analytics
apach spark
jsonnet
basel
kubernetes
2020
apache spark 3.0
deployment models
spark summit 2017
kinesis firehose
datab
See more