ublished On Apr 9, 2015 Uploaded by InSemble Inc. 'Machine Learning with Big Data using Apache Spark' was presented to Lansing Big Data and Hadoop User Group by Muk Agaram and Amit Singh on 3/31/2015. It goes over the basics of machine learning and demos a use case of predicting recession using Apache Spark through Logistic Regression, SVM and Random Forest Algorithm

1. Introduction to Machine Learning2012-05-15Lars Marius Garshol, larsga@bouvet.no, http://twitter.com/larsga1
2. Agenda• Introduction• Theory• Top 10 algorithms• Recommendations• Classification with na�ve Bayes• Linear regression• Clustering• Principal Component Analysis• MapReduce• Conclusion2
3. The code3• I’ve put the Python source code for theexamples on Github• Can be found at– https://github.com/larsga/py-snippets/tree/master/machine-learning/
4. Introduction4
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7. What is big data?7Big Data isany thingwhich iscrash Excel.Small Data iswhen is fit in RAM.Big Data is when iscrash because isnot fit in RAM.Or, in other words, Big Data is datain volumes too great to process bytraditional methods.https://twitter.com/devops_borat
8. Data accumulation• Today, data is accumulating at tremendousrates– click streams from web visitors– supermarket transactions– sensor readings– video camera footage– GPS trails– social media interactions– ...• It really is becoming a challenge to storeand process it all in a meaningful way8