Apache Spark MLlib Training Courses

Apache Spark MLlib Training

MLlib is Apache Spark's scalable machine learning library.

Apache Spark MLlib Course Outlines

Code Name Duration Overview
spmllib Apache Spark MLlib 35 hours MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs. It divides into two packages: spark.mllib contains the original API built on top of RDDs. spark.ml provides higher-level API built on top of DataFrames for constructing ML pipelines.   Audience This course is directed at engineers and developers seeking to utilize a built in Machine Library for Apache Spark
aitech Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP 21 hours This course is aimed at developers and data scientists who wish to understand and implement AI within their applications. Special focus is given to Data Analysis, Distributed AI and NLP.

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Outline Tag Cloud

Higher-level Pipeline ApisCommon Learning AlgorithmsTOPCollaborative FilteringGoalConsistsMachine LibraryMllibDividesImplement AIHadoop-sparkApache SparkIncluding ClassificationDevelopers SeekingDataframesSpecial FocusPackagesData ScientistsApplicationsDistributed AIRddsData AnalysisEasyNLPUtilizeUtilitiesRegressionClusteringDimensionality ReductionEngineersAudienceDirectedUnderstandConstructing ML PipelinesSparkDevelopersMLApache Spark MLlibBuiltHigher-level API BuiltAimed