Top Tweets for #SparkMLLIB
Evaluating #ML Open Source
https://t.co/vFb5vLKL2S
#AI #MachineLearning #OpenSource #KNIME #Weka #scikitLearn #SparkMLlib #Tensorflow #R
Distributed Topic Modelling using Spark NLP and Spark MLLib(LDA) - https://t.co/Zot9MBeEnc
#machinelearning #naturallanguageprocessing #sparkmllib #sparknlp
The best machine learning and deep learning libraries
#machinelearning #deeplearning #TensorFlow #SparkMLlib #ScikitLearn #PyTorch #MXNet #Keras https://t.co/cStxw738Eu
Very interesting article by @databricks about detecting #financial / #banking #fraud #patterns at scale with #spark. #sparkMLlib #sparkSql #decisionTrees #mlflow #DataScience #azure #aws #fraudDetection
Detecting financial fraud patterns at scale is a challenge. We've created an interactive example of how to use a rule-based fraud detection label and convert it into a machine learning model using Databricks with #MLflow. https://t.co/cev9MGj34V #MachineLearning
Why @TensorFlow, #SparkMLlib, @scikit_learn, @PyTorch, #MXNet, and #Keras shine for building and training #MachineLearning and #DeepLearning models - https://t.co/geGQO4Gv7P
(vía @infoworld)
Algebraic Data Types: Just my kinda Type by Ajay Viswanathan at #FnConf18
https://t.co/bjQEUNgpSn
#FunctionalProgramming #Scala #AlgebraicDataTypes #SumTypes #ProductTypes #PropertyBasedTesting #ScalaCheck #Vertx #ApacheSpark #SparkMLLib #Cats #ADTs #TypeClasses #TypeTheory
"#AlgebraicDataTypes: Just my kinda Type"
At #FnConf18 Ajay Viswanathan talks about the mathematical foundations of #TypeTheory and its practical uses in #Scala for applications like #ML #APIDesign #DSL etc.
https://t.co/P3QtW1mhpn
#FunctionalProgramming #SparkMLLib #scalacheck
Find the agenda (with the slides + exercises) of the recent #ApacheSpark workshop in Villeneuve-Loubet, France at https://t.co/REFdM7GHiD One more workshop in 2018 (#ApacheKafka / #KafkaStreams) next week and...time off! #SparkSQL #StructuredStreaming #SparkMLlib
Published the agenda (and the slides + exercises) of the recent #ApacheSpark workshop in Roubaix, France at https://t.co/R9CgUGBbuU I’d be happy to hear from you what to improve. Got few workshops coming in 2018 so expect more changes #SparkSQL #StructuredStreaming #SparkMLlib
Another talk to get into #ApacheSpark #SparkMLlib’s ALS (batch and streaming) » Building Streaming Recommendation Engines on Apache Spark https://t.co/u8rgsn57Pt #SparkAISummit
Interested in #ApacheSpark #SparkMLlib and how ALS recommendation algorithm works? Watch the video “Building an Implicit Recommendation Engine with Spark” https://t.co/zqMB5DE7TS #SparkAISummit
Interested in #ApacheSpark? Learn about the Apache Spark framework and how to develop Spark programs for use cases in big-data analysis. Free download the book @InfoQ #SparkCore #SparkSQL #SparkStreaming #SparkMLlib #SparkGraphX. https://t.co/1slh0dXv5G
Interested in #ApacheSpark? Learn about the Apache Spark framework and how to develop Spark programs for use cases in big-data analysis. Free download the book @InfoQ #SparkCore #SparkSQL #SparkStreaming #SparkMLlib #SparkGraphX. https://t.co/802g2mD4zF
A presentation about 11 #opensource resources for #MachineLearning #ML:
#scikitLearn, #Shogun, https://t.co/R3ZwPQyhlm, #ApacheMahout, #SparkMLlib, #H2O, #ClouderaOryx, #GoLearn, #Weka, #DeepLearn.js, #ConvNetJS
https://t.co/LpLfmnvggV
Learn what you need to know about #SparkMLlib. Its goal is to make practical #MachineLearning scalable and easy, and provides a set of common learning algorithms and a set of tools to help with building maintainable ML pipelines. Learn more #qconai https://t.co/hcvwt6ZmeZ
New Features in MLflow v0.6.0: Java Client APIs and Spark MLlib and MLeap Model Integration #MLflow #MachineLearning #DataScence #Python #Java #SparkMLlib https://t.co/jMVEsX72Fd @MLflowOrg
New Features in MLflow v0.6.0: Java Client APIs and Spark MLlib and MLeap Model Integration #MLflow #MachineLearning #DataScence #Python #Java #SparkMLlib https://t.co/YjCWjDAIIH @MLflowOrg
Interested in #ApacheSpark? Free download this guide available on @InfoQ and learn about the Apache Spark framework and how to develop Spark programs for use cases in #BigData analysis. #SparkCore #SparkSQL #SparkStreaming #SparkMLlib #SparkGraphX https://t.co/lFjR7QfBd6
Learn what you need to know about #SparkMLlib. Its goal is to make practical #MachineLearning scalable and easy, and provides a set of common learning algorithms and a set of tools to help with building maintainable ML pipelines. Learn more #qconai https://t.co/hcvwt6ZmeZ
Learn what you need to know about #SparkMLlib. Its goal is to make practical #MachineLearning scalable and easy, and provides a set of common learning algorithms and a set of tools to help with building maintainable ML pipelines. Learn more #qconai https://t.co/hcvwt6ZmeZ
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