Machine Learning and Big Data
Front MattersSpark Basics
Spark SetupTransformations and ActionsCalculating AveragesCalculating Averages per KeyApplication: Word CountJoinsApplication: New ArticlesApplication: Page RankIntroduction to Statistics
IntroductionStatistical data typesDesigning a statistical experimentProbability
Probability interpretationsAlgebra of eventsDeMorgan's lawsProbability formulationAxioms' implicationsConditional probabilityIndependenceTheorem of total probabilityBayes' theoremBasic Statistics
Statistics ClassBetter Outliers TestsClassification
Intuitive ClassificationSupport Vector Machines
IntroductionMathematical BackgroundLearningSpark ImplementationLinear Regression
IntroductionSimple Linear RegressionGradient Descent MinimisationSimple ImplementationVectorised ImplementationC++ ImplementationSpark ImplementationLogisitc Regression
C++ ImplementationSpark ImplementationBooks 
Machine Learning and Big Data
Intuitive ML and big data in C++, Scala, Java and Python
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© Copyright 2016 Kareem Alkaseer